Best Database Management Systems (DBMS)

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Database management systems (DBMS) are designed to define, store, retrieve, and manage the data within a database. It allows users to create, maintain, and manage databases. DBMS manipulates the database as per the user requirements. Using DBMS ensures that the data of an organization is clean, consistent, secure, relevant, and supports concurrency.

Along with the standard database functionalities (e.g., CRUD operations), DBMS software has much stronger management capabilities. These include functions like stronger metadata visibility and analysis, in-depth and custom reporting, performance monitoring, usage analytics, and compliance checks. Extensive solutions may offer capabilities of database backup software, data replication software, disaster recovery software, or disaster recovery as a service (DRaaS) software, as well.

Typically used by database administrators, DBMS are integral to preserving database quality and integrity. They fall into a larger database-oriented stack, which can include solutions like database security and database monitoring.

DBMS is used as part of both relational and non-relational databases. DBMS software are of different types, in association with the database being managed and organized. Some of the more popular DBMS are as follows:

Relational: Associated typically with relational databases, the relational model organizes data tabularly (rows and columns approach) and is currently the most standard database model. DMBS focused on the relational model are referred to as RDBMS.
Object oriented: Object-oriented databases follow a programming-style, object-oriented approach to entering and organizing data. DBMS aligned with this model are referred to as OODMBS.
Hierarchical: In a hierarchical model, data is organized with a tree-like structure, where associations (“branches") extend from a point of data. DBMS aligned with this model are sometimes referred to as HDBMS.
Distributed: Under a distributed database model, data is decentralized and stored across several locations. These locations can be physically local (e.g., different servers in the same data center) or spread apart (perhaps connected via SD-WAN). DMBS aligned with the distributed database model are sometimes referred to as DDBMS.
Non-relational DBMS or NoSQL DBMS: NoSQL DBMS support both structured and unstructured data. There is no set defined schema as compared to other data models. The key benefit of this DBMS is that users can process queries of various elements and not be limited by the structure.

To qualify for inclusion in the Database Management Systems (DBMS) category, a product must:

Manage and align with a database model (e.g., relational, object-oriented, hierarchical, distributed, non-relational)
Can also exist as a standalone tool to manage databases
Provide database maintenance functionalities
Provide extensive reporting and activity analytics

Best Database Management Systems (DBMS) At A Glance

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Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.
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229 Listings in Database Management Systems (DBMS) Available
(334)4.5 out of 5
2nd Easiest To Use in Database Management Systems (DBMS) software
View top Consulting Services for Google Cloud SQL
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud SQL Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Database Management
    146
    Ease of Use
    138
    Scalability
    95
    Setup Ease
    75
    Security
    73
    Cons
    Expensive
    89
    Limited Database Support
    52
    Limited Customization
    29
    Lack of Database Support
    28
    Performance Issues
    21
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud SQL features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Data dictionary
    Average: 8.6
    9.0
    Backup and Recovery
    Average: 8.5
    8.9
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.

Users
  • Software Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Mid-Market
  • 32% Small-Business
Google Cloud SQL Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Database Management
146
Ease of Use
138
Scalability
95
Setup Ease
75
Security
73
Cons
Expensive
89
Limited Database Support
52
Limited Customization
29
Lack of Database Support
28
Performance Issues
21
Google Cloud SQL features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
8.8
Data dictionary
Average: 8.6
9.0
Backup and Recovery
Average: 8.5
8.9
Data Migration
Average: 8.5
(2,196)4.4 out of 5
4th Easiest To Use in Database Management Systems (DBMS) software
View top Consulting Services for Microsoft SQL Server
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    SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and

    Users
    • Software Engineer
    • Software Developer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Microsoft SQL Server Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    60
    Database Management
    52
    Features
    29
    Data Management
    24
    Easy Integrations
    22
    Cons
    Expensive
    17
    Performance Issues
    14
    Slow Performance
    14
    Compatibility Issues
    11
    Lacking Features
    11
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Microsoft SQL Server features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.9
    Data dictionary
    Average: 8.6
    9.0
    Backup and Recovery
    Average: 8.5
    8.9
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and

Users
  • Software Engineer
  • Software Developer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
Microsoft SQL Server Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
60
Database Management
52
Features
29
Data Management
24
Easy Integrations
22
Cons
Expensive
17
Performance Issues
14
Slow Performance
14
Compatibility Issues
11
Lacking Features
11
Microsoft SQL Server features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.8
8.9
Data dictionary
Average: 8.6
9.0
Backup and Recovery
Average: 8.5
8.9
Data Migration
Average: 8.5
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(253)4.3 out of 5
3rd Easiest To Use in Database Management Systems (DBMS) software
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    Oracle database management tool

    Users
    • Software Engineer
    • Software Developer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Enterprise
    • 39% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SQL Developer Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    36
    Database Management
    26
    Features
    14
    Easy Integrations
    9
    Data Export
    4
    Cons
    Performance Issues
    10
    Poor User Interface
    6
    Complex Syntax
    5
    Connection Issues
    5
    Limited Database Support
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SQL Developer features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Data dictionary
    Average: 8.6
    8.3
    Backup and Recovery
    Average: 8.5
    8.7
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

Oracle database management tool

Users
  • Software Engineer
  • Software Developer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Enterprise
  • 39% Mid-Market
SQL Developer Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
36
Database Management
26
Features
14
Easy Integrations
9
Data Export
4
Cons
Performance Issues
10
Poor User Interface
6
Complex Syntax
5
Connection Issues
5
Limited Database Support
5
SQL Developer features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
9.0
Data dictionary
Average: 8.6
8.3
Backup and Recovery
Average: 8.5
8.7
Data Migration
Average: 8.5
(543)4.5 out of 5
Optimized for quick response
8th Easiest To Use in Database Management Systems (DBMS) software
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Entry Level Price:$2 Compute/Hour
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Enterprise
    • 41% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    101
    Efficiency Improvement
    53
    Features
    50
    Data Management
    44
    Database Management
    42
    Cons
    Feature Limitations
    40
    Expensive
    37
    Limited Features
    31
    Query Issues
    24
    Missing Features
    23
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    8.9
    Data dictionary
    Average: 8.6
    8.8
    Backup and Recovery
    Average: 8.5
    9.3
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite

Users
  • Data Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Enterprise
  • 41% Mid-Market
Snowflake Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
101
Efficiency Improvement
53
Features
50
Data Management
44
Database Management
42
Cons
Feature Limitations
40
Expensive
37
Limited Features
31
Query Issues
24
Missing Features
23
Snowflake features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
8.9
Data dictionary
Average: 8.6
8.8
Backup and Recovery
Average: 8.5
9.3
Data Migration
Average: 8.5
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Athena is an interactive query service designed to make it easy to analyze data in Amazon S3 using standard SQL.

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 41% Enterprise
    • 21% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Athena Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Querying
    15
    Ease of Use
    11
    Database Management
    10
    Analytics
    6
    Cost-Effective
    6
    Cons
    Performance Issues
    5
    Limitations
    4
    Limited SQL
    4
    Limited Features
    3
    Poor Usability
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Athena features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.8
    8.0
    Data dictionary
    Average: 8.6
    8.3
    Backup and Recovery
    Average: 8.5
    8.0
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Athena is an interactive query service designed to make it easy to analyze data in Amazon S3 using standard SQL.

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 41% Enterprise
  • 21% Mid-Market
Amazon Athena Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Querying
15
Ease of Use
11
Database Management
10
Analytics
6
Cost-Effective
6
Cons
Performance Issues
5
Limitations
4
Limited SQL
4
Limited Features
3
Poor Usability
3
Amazon Athena features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.8
8.0
Data dictionary
Average: 8.6
8.3
Backup and Recovery
Average: 8.5
8.0
Data Migration
Average: 8.5
(172)4.6 out of 5
1st Easiest To Use in Database Management Systems (DBMS) software
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Entry Level Price:Free
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Studio 3T is the professional GUI, IDE & client for MongoDB available for Windows, Mac, and Linux. Speed up tasks like query building, data exploration, import/export, code generation, and more –

    Users
    • CTO
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Small-Business
    • 21% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Studio 3T Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    57
    Features
    38
    Database Management
    29
    Data Export
    12
    Customer Support
    10
    Cons
    Performance Issues
    14
    Expensive
    9
    Autocomplete Issues
    8
    Missing Features
    8
    Poor User Interface
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Studio 3T features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Data dictionary
    Average: 8.6
    8.6
    Backup and Recovery
    Average: 8.5
    8.9
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

Studio 3T is the professional GUI, IDE & client for MongoDB available for Windows, Mac, and Linux. Speed up tasks like query building, data exploration, import/export, code generation, and more –

Users
  • CTO
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Small-Business
  • 21% Enterprise
Studio 3T Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
57
Features
38
Database Management
29
Data Export
12
Customer Support
10
Cons
Performance Issues
14
Expensive
9
Autocomplete Issues
8
Missing Features
8
Poor User Interface
7
Studio 3T features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
8.3
Data dictionary
Average: 8.6
8.6
Backup and Recovery
Average: 8.5
8.9
Data Migration
Average: 8.5
(42)4.5 out of 5
View top Consulting Services for Mysql workbench
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MySQL Workbench is a visual database design tool that integrates SQL development, administration, database design, creation and maintenance into a single integrated development environment for the MyS

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Mysql workbench Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    14
    Database Management
    13
    Easy Integrations
    7
    Features
    7
    Data Management
    3
    Cons
    Performance Issues
    8
    Autocomplete Issues
    2
    Difficult Learning
    2
    Error Handling
    2
    Import Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mysql workbench features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Data dictionary
    Average: 8.6
    8.1
    Backup and Recovery
    Average: 8.5
    8.8
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

MySQL Workbench is a visual database design tool that integrates SQL development, administration, database design, creation and maintenance into a single integrated development environment for the MyS

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Small-Business
  • 33% Mid-Market
Mysql workbench Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
14
Database Management
13
Easy Integrations
7
Features
7
Data Management
3
Cons
Performance Issues
8
Autocomplete Issues
2
Difficult Learning
2
Error Handling
2
Import Issues
2
Mysql workbench features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 8.8
8.3
Data dictionary
Average: 8.6
8.1
Backup and Recovery
Average: 8.5
8.8
Data Migration
Average: 8.5
(284)4.4 out of 5
13th Easiest To Use in Database Management Systems (DBMS) software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Toad solutions are desktop tools that give DBAs, developers and analysts a proactive, automated approach to developing and managing databases, so organizations can spend more time on strategic initiat

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Hospital & Health Care
    Market Segment
    • 68% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Toad For Oracle Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    15
    Database Management
    12
    Features
    8
    Data Export
    5
    Speed
    4
    Cons
    Performance Issues
    9
    Poor User Interface
    3
    Frequent Updates
    2
    Import Issues
    2
    Missing Features
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Toad For Oracle features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.8
    8.7
    Data dictionary
    Average: 8.6
    8.6
    Backup and Recovery
    Average: 8.5
    8.5
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

Toad solutions are desktop tools that give DBAs, developers and analysts a proactive, automated approach to developing and managing databases, so organizations can spend more time on strategic initiat

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Hospital & Health Care
Market Segment
  • 68% Enterprise
  • 27% Mid-Market
Toad For Oracle Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
15
Database Management
12
Features
8
Data Export
5
Speed
4
Cons
Performance Issues
9
Poor User Interface
3
Frequent Updates
2
Import Issues
2
Missing Features
2
Toad For Oracle features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.8
8.7
Data dictionary
Average: 8.6
8.6
Backup and Recovery
Average: 8.5
8.5
Data Migration
Average: 8.5
(196)4.3 out of 5
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Oracle Enterprise Manager is Oracle’s on-premise management platform that provides a single dashboard to manage all Oracle deployments, in the data center or in the cloud. Oracle Enterprise Manager of

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 61% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Oracle Enterprise Manager Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    17
    Real-Time Monitoring
    11
    Monitoring
    10
    Database Management
    9
    Monitoring Features
    6
    Cons
    Expensive
    4
    Slow Performance
    4
    Integration Issues
    3
    Learning Curve
    3
    Poor Customer Support
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Enterprise Manager features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.8
    9.2
    Data dictionary
    Average: 8.6
    9.3
    Backup and Recovery
    Average: 8.5
    8.6
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

Oracle Enterprise Manager is Oracle’s on-premise management platform that provides a single dashboard to manage all Oracle deployments, in the data center or in the cloud. Oracle Enterprise Manager of

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 61% Enterprise
  • 27% Mid-Market
Oracle Enterprise Manager Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
17
Real-Time Monitoring
11
Monitoring
10
Database Management
9
Monitoring Features
6
Cons
Expensive
4
Slow Performance
4
Integration Issues
3
Learning Curve
3
Poor Customer Support
3
Oracle Enterprise Manager features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.8
9.2
Data dictionary
Average: 8.6
9.3
Backup and Recovery
Average: 8.5
8.6
Data Migration
Average: 8.5
(16)4.7 out of 5
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Compose provides a stable, elegant and powerful auto-scaling deployment platform to build your MongoDB applications upon.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 63% Small-Business
    • 19% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MongoDB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Database Management
    9
    Ease of Use
    9
    Flexibility
    6
    Analytics
    3
    Learning
    3
    Cons
    Function Limitations
    5
    Data Management Issues
    3
    Learning Curve
    3
    Limitations
    3
    Complex Syntax
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MongoDB features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Data dictionary
    Average: 8.6
    8.6
    Backup and Recovery
    Average: 8.5
    8.2
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

Compose provides a stable, elegant and powerful auto-scaling deployment platform to build your MongoDB applications upon.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 63% Small-Business
  • 19% Enterprise
MongoDB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Database Management
9
Ease of Use
9
Flexibility
6
Analytics
3
Learning
3
Cons
Function Limitations
5
Data Management Issues
3
Learning Curve
3
Limitations
3
Complex Syntax
2
MongoDB features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
9.0
Data dictionary
Average: 8.6
8.6
Backup and Recovery
Average: 8.5
8.2
Data Migration
Average: 8.5
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SQL Operations Studio is a data management tool designed to enable working with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 45% Enterprise
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Data Studio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    16
    Database Management
    12
    Features
    9
    Easy Integrations
    7
    Data Sharing
    3
    Cons
    Missing Features
    8
    Learning Curve
    7
    Performance Issues
    5
    Not User-Friendly
    4
    Slow Performance
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Data Studio features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Data dictionary
    Average: 8.6
    8.8
    Backup and Recovery
    Average: 8.5
    9.1
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

SQL Operations Studio is a data management tool designed to enable working with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 45% Enterprise
  • 36% Small-Business
Azure Data Studio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
16
Database Management
12
Features
9
Easy Integrations
7
Data Sharing
3
Cons
Missing Features
8
Learning Curve
7
Performance Issues
5
Not User-Friendly
4
Slow Performance
4
Azure Data Studio features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.8
8.8
Data dictionary
Average: 8.6
8.8
Backup and Recovery
Average: 8.5
9.1
Data Migration
Average: 8.5
(219)4.7 out of 5
7th Easiest To Use in Database Management Systems (DBMS) software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DbVisualizer is one of the world’s most popular database editors. Developers, analysts, and DBAs use it to elevate their SQL experience with modern tools to visualize and manage their databases, sche

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 44% Small-Business
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DbVisualizer Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    36
    Database Management
    31
    Features
    14
    Data Export
    12
    Navigation Ease
    9
    Cons
    Missing Features
    8
    Limitations
    6
    Autocomplete Issues
    4
    Connection Issues
    3
    Expensive
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DbVisualizer features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.6
    Data dictionary
    Average: 8.6
    7.6
    Backup and Recovery
    Average: 8.5
    8.0
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

DbVisualizer is one of the world’s most popular database editors. Developers, analysts, and DBAs use it to elevate their SQL experience with modern tools to visualize and manage their databases, sche

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Small-Business
  • 29% Enterprise
DbVisualizer Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
36
Database Management
31
Features
14
Data Export
12
Navigation Ease
9
Cons
Missing Features
8
Limitations
6
Autocomplete Issues
4
Connection Issues
3
Expensive
3
DbVisualizer features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.8
8.6
Data dictionary
Average: 8.6
7.6
Backup and Recovery
Average: 8.5
8.0
Data Migration
Average: 8.5
(30)4.7 out of 5
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 47% Mid-Market
    • 43% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Zilliz Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    19
    Database Management
    11
    Easy Integrations
    7
    Dashboards
    6
    Implementation Ease
    6
    Cons
    Learning Curve
    6
    Poor User Interface
    5
    Not User-Friendly
    4
    Installation Difficulty
    3
    Missing Features
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Zilliz features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.6
    Data dictionary
    Average: 8.6
    9.3
    Backup and Recovery
    Average: 8.5
    9.0
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 47% Mid-Market
  • 43% Small-Business
Zilliz Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
19
Database Management
11
Easy Integrations
7
Dashboards
6
Implementation Ease
6
Cons
Learning Curve
6
Poor User Interface
5
Not User-Friendly
4
Installation Difficulty
3
Missing Features
3
Zilliz features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
9.6
Data dictionary
Average: 8.6
9.3
Backup and Recovery
Average: 8.5
9.0
Data Migration
Average: 8.5
(82)4.5 out of 5
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard ne

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 43% Small-Business
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • PopSQL Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    51
    SQL Queries
    40
    Collaboration
    25
    User Interface
    22
    Database Management
    20
    Cons
    Missing Features
    18
    Expensive
    10
    Limitations
    9
    Slow Performance
    9
    Connection Issues
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • PopSQL features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Data dictionary
    Average: 8.6
    8.4
    Backup and Recovery
    Average: 8.5
    9.0
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard ne

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 43% Small-Business
  • 37% Mid-Market
PopSQL Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
51
SQL Queries
40
Collaboration
25
User Interface
22
Database Management
20
Cons
Missing Features
18
Expensive
10
Limitations
9
Slow Performance
9
Connection Issues
8
PopSQL features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 8.8
8.3
Data dictionary
Average: 8.6
8.4
Backup and Recovery
Average: 8.5
9.0
Data Migration
Average: 8.5
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trust

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 70% Enterprise
    • 20% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Teradata Vantage is a multi-cloud deployment platform that allows businesses to run their analytics in public, private or hybrid clouds.
    • Reviewers like its ability to handle large scale data efficiently, provide comprehensive analytics capabilities, and its high performance that allows complex queries to run quickly and efficiently.
    • Users reported limitations in customizing certain aspects of the platform, a complex and long learning process, high cost, and technical issues such as difficulty in data management and restoration.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Teradata Vantage Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    52
    Performance
    31
    Features
    30
    Analytics
    29
    Scalability
    27
    Cons
    Expensive
    22
    Data Management Issues
    13
    Learning Curve
    13
    Complexity
    12
    Cost Concerns
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Teradata Vantage features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 8.8
    7.1
    Data dictionary
    Average: 8.6
    7.5
    Backup and Recovery
    Average: 8.5
    8.6
    Data Migration
    Average: 8.5
Product Description
How are these determined?Information
This description is provided by the seller.

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trust

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 70% Enterprise
  • 20% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Teradata Vantage is a multi-cloud deployment platform that allows businesses to run their analytics in public, private or hybrid clouds.
  • Reviewers like its ability to handle large scale data efficiently, provide comprehensive analytics capabilities, and its high performance that allows complex queries to run quickly and efficiently.
  • Users reported limitations in customizing certain aspects of the platform, a complex and long learning process, high cost, and technical issues such as difficulty in data management and restoration.
Teradata Vantage Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
52
Performance
31
Features
30
Analytics
29
Scalability
27
Cons
Expensive
22
Data Management Issues
13
Learning Curve
13
Complexity
12
Cost Concerns
10
Teradata Vantage features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 8.8
7.1
Data dictionary
Average: 8.6
7.5
Backup and Recovery
Average: 8.5
8.6
Data Migration
Average: 8.5
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Learn More About Database Management Systems (DBMS)

What are Database Management Systems (DBMS)?

A database management system (DBMS) is a software application that is designed to store, retrieve, define, and manage the data within a database. DBMS can be viewed as an interface between the user and the database. The software is used to manage the data, database engine, and database schema. Simply put, DBMS manipulates the database as per the user requirements. Using DBMS ensures that the data of an organization is clean, consistent, secure, relevant, and supports concurrency.

To understand database management systems, it’s important to clearly define a database. A database is a collection of structured data stored within a computer system. The control of this database is done via DBMS. Data is modeled into rows and columns to make it more structured for applications to query information as required by the user. The data can be accessed from the database via Structured Query Language (SQL) or NoSQL databases. Some popular database solutions include Oracle database (Oracle RDBMS offering), Microsoft SQL Server, IBM DB2, Amazon RDS, among others.

In addition, several DBMS products are open source in nature, which means it grants the users complete freedom to customize the data as per requirements. An open-source database has its code freely available for download, modification, and reuse. Open source is the opposite of a proprietary database wherein the code cannot be accessed by anyone. Some examples include MongoDB, MariaDB, PostgreSQL, MySQL, and so on.

What does a database management system (DBMS) do?

In addition to all the features shared above, DBMS supports change management, security, backup and recovery, analyzes performance management, concurrency, among several other features. All the data being generated is being logged in the database, and also undergoes continuous audits to ensure that the applications that access them get the correct data.

From a user perspective, DBMS is a unified repository where end users can access any data required. The software ensures that the end user can access the required information limited to the particular persona. The user does not have to be concerned about where the data is located, as long as they can obtain the data for running their applications. The DBMS will handle every request that comes from an end user or any application.

Components of a DBMS

To understand more about database management systems, it is a good idea to identify the various components that constitute a DBMS:

Storage: This is the database or the place where the company stores its data. DBMS will act as the interface between the computer and the user to provide the data. It acts as an interface between an operating system (OS) (such as Windows or Linux) and a file system to store any data that comes through.

Access language: The DBMS needs to have an access language that allows it to communicate with multiple parties. SQL is an example of this.

Metadata catalog: This is also known as a data dictionary. It is a storehouse of all the data objects created. This catalog serves as an index page for users to query the information, or verify data requests. This catalog can hold various levels of details such as schemas, programs, usage details, communication details, performance updates, and several others.

Lock managers: This component of DBMS ensures that all user access is restricted to what rights have been set for that persona. Only those with access can add, edit, or delete data.

Changelog: The changelog component keeps a track of all changes being made to the database application. A record of all changes is known as the log. DBMS uses a log manager to keep track of all the logs created.

Additional features: Some database management tools can also include other additional components such as backup, copy, data integrity checks, among several others.

What Does DBMS Stand For?

DBMS stands for database management systems. DBMS is involved with incoming data, or more specifically managing and running the data. Data is unprocessed and random in nature. When this data is organized, this is known as information. Database management systems involve processing or managing data, and not information. With the growth of big data, data-intensive applications and data-heavy workloads being used to drive well-informed decisions has become the new norm. Having a strong database management system in place which understands a company's data needs and manages the data accordingly is key to ensuring that the data is being used justifiably.

What Types of Database Management Systems (DBMS) Exist?

DBMS are based on the database models that it works with. Some of the best database management systems are as follows:

Hierarchical data model: In this data model, data elements have a 1:n (one-to-many) relationship. It is a tree structure of data. It is a good option to store data that involves features, attributes, child-parent relationships, and other types of data.

Network data model: In this type of data model, the data is structured as 1:1 or many-to-many. Data can have more than one parent node. A key benefit of this type of database model is that it can build several relationships among different data types, which makes it much more efficient. 

Relational database model: This is the most commonly used data model by companies. In this, data has a 2D relationship, where the data is organized into rows and columns. The data within the table is related to each other, hence the term relational. Data within one table can also be linked to data in another table by using keys.

Object-Oriented data model: In this database model, the data is stored in the form of objects and not within tables or rows. The object would contain all the required data within it, and the user needs to access the address of the object to obtain the data for usage. Object-oriented databases are highly compatible with several programming languages, key ones include Java, C++, Perl, and several others.

No SQL data model: NoSQL data models support both structured and unstructured data. There is no set defined schema as compared to other data models. The key benefit of this data model is that users can process queries of various elements and not be limited by the structure.

Cloud-based data model: Companies can also choose to store their databases online as a cloud database. Here, the DBaaS model comes into the picture, wherein databases are managed via the cloud provider, the user only needs to pay the subscription fee. There is no need for the user to procure any additional hardware, which allows companies to save a significant amount of money on initial investments.

What are the Common Features of Database Management Systems (DBMS)?

The following are some core features within database management software that can help users in several ways:

Data structure: This is the key feature of DBMS. All the data is stored in a categorized structure so that it becomes easier for the user to call upon the data when it is required. It makes it easier for applications to understand the data structure. DBMS can also ensure continuous updates when the data is in a clear hierarchical structure.

Minimized duplication and redundancy: Databases are used across almost all functions within a company. Since there are several users, this could cause issues such as data duplication and redundancy. DBMS ensures that the data present is only in a single instance, thereby reducing redundancy significantly.

Database maintenance: Every transaction creates a large amount of unstructured data. Large enterprises will have tons of data that require cleaning, security, and even backup and recovery. DBMS allows enterprises to ensure that the tons of data being generated every minute are being processed and managed correctly.

Permanent data storage: DBMS ensures that the data being stored is permanent and that there is no loss to the data. In case a loss occurs due to any unforeseen activity, the DBMS ensures that the data is backed up and can be recovered by the user when needed.

Data security support: Data needs to be safe. Ensuring that the data does not fall in the wrong hands is a key concern for companies especially when there are several data breaches causing companies to lose critical information. The DBMS features allow companies to create “personas” who can access all the data or some of the data (for a specific function for example). These key personas create user identities and approve access to ensure that security is maintained to a maximum.

Multi-user access: In continuation of the above point, multiple users can be given access once certain limits are set. These limits ensure that the data can be accessed or viewed as per the rights given.

Metadata support: Metadata is defined as the data that summarizes the main data; it makes finding the actual data easier. It provides the user what all data is within it, such as related files and objects. It provides more context for the data being stored. DBMS has a key feature of providing metadata libraries, making it easier for applications to call out the required data.

What are the Benefits of Database Management Systems (DBMS)?

Improved process efficiency: One of the key features of DBMS is that it ensures that there are no inconsistencies in the data, caused by duplication. This allows for a clean database and smoother data management which improves the process efficiency across the company. In addition, since data is shared, it does not require much storage space, further streamlining the process.

Data consistency: DBMS ensures that the data is the same which is being used across various functions within a company. There is no change to the data, regardless of who is viewing it. 

Customization: A key benefit of DBMS is that it keeps applications and the database separate. An application can be customized as per user requirements, but the data being called or used will remain the same. In addition, these applications need not use all the data called while using the DBMS, only the required data is used. Ideally, each employee will have different ways to access the database based on the front-end application that they have been given. For example, an employee will not be able to access other employees’ personal information but the HR department will have access to this.

Data availability: DBMS needs to ensure that the data is made accessible to different employees at any time and from anywhere. Multiple users can access data remotely 24 hours a day.

Who Uses Database Management Systems (DBMS)?

Users of DBMS have an important job of ensuring that the valuable data of a company is handled efficiently. These users need to be mindful of who can/cannot access the critical data and ensure the right settings and permissions have been given. Other users are primarily developers and designers who need access to the data while creating a new product/application.

Some of the main users of DBMS have been listed below:

Database administrator (DBA): Key persona handling the DBMS. The schema is determined by the DBA. They are also responsible for setting up different user IDs and rights for those who can access the database. This persona also monitors the database, ensures security is maintained, monitors backup and recovery plans, tracks errors or failures, provides database support, and several other requirements.

Database designers: Under this persona, the designer uses the DBMS to create data tables, rows, columns, indexes, and other design structures.

Software developers: Programmers and software developers would need access to data when developing a software application or making changes to one. This persona will have access to the database to ensure that the software application development process goes smoothly. In addition, as long as the various programs being created use an application programming interface (API) for the database software that has been provided by the DBMS provider, developers need not modify any programs just because changes were made to a database. This API does not bother the developer to keep track of any changes done to the database, it will automatically make the modifications that the developer requires.

Managers: Managers can use the database temporarily or whenever they require new information. This persona doesn't use DBMS daily, as the other personas, only when the requirement arises. 

Other users: This includes users such as analysts, scientists who do not write a code, but use the DBMS to query some information as and when required. They have interactions with the database as per their data requirements.

Challenges with Database Management Systems (DBMS)

DBMS software is critical for any organization that manages its data. The software needs to be effective in handling the data accurately and safely. However, DBMS software does come with its own set of challenges. 

Security challenges: Hacking of the database is the biggest concern companies face. Critical data, master data, financial data, and several other data points of a company could be breached by hackers, who could misuse this information. Having robust, secure, and high-performance DBMS to ensure that the database is fully protected is a necessity. Setting up user rights for the database, which limits to which section of data a user can access, is a must.

Safety of data: Data needs to be clean, concise, and without any errors. When data is being processed, no part of it should be lost. DBMS should ensure that the database does not have any duplicate data points, cannot be deleted without the correct user rights, and should have transactional guarantees to ensure that all the data generated by a transaction is pure.

Increased cost: As the amount of data increases, there is a need to purchase more memory and higher server processing power to process large amounts of data. Along with the cost of infrastructure, security costs, maintenance costs, staff training costs, and data center construction costs, several other additional costs could end up becoming a huge investment for the firm. Although the introduction of cloud database as a service (DBaaS) does alleviate the issue, not many customers might be keen to move all their critical data to cloud and would prefer it on-premises.

Data integration: There are numerous sources of data—from hardware points such as mobile phones, laptops, to social media to IoT and several others. Businesses need to ensure that all this valuable data is being recorded properly. It can be a huge task for the DBMS to ensure that all the data from all these various data points are being recorded properly. Ensuring that the data is clean and has no duplicates or errors is a strenuous task.

Managing both cloud and on-premises databases: Companies can choose to opt for a mix of cloud and on-premises databases as per requirements. This could be a major challenge for DBMS since it would need to handle requests of both the databases and treat it as one big database. The user of the database does not need to know where or how the data is located, but only how they can access it. In addition, the vendor will need to choose a DBMS that is scalable when cloud is involved.

How to Buy Database Management Systems (DBMS)

Requirements Gathering (RFI/RFP) for Database Management Systems (DBMS)

When choosing a DBMS, some important criteria need to be considered. Factors such as usability, functionality, and security are key criteria that cannot be compromised on. Having features such as dashboards and visualizations is a great benefit to have, to ensure ease of analyzing the data and keeping track of several queries. Other important features to look out for are support and development—the hours when customer support is available, the willingness to solve user queries, and so on.

As a business grows, scalability is an important criterion to keep in mind. With tons of data being generated, it can get difficult for the customers’ DBMS to scale as per requirement and manage millions of rows and columns of data. Another key feature to ensure that the DBMS has is integration support. There are numerous other software that are a part of a company's environment such as CRM, ERP, and others. How these integrations are managed and how the company ensures all these software connect with the DBMS is critical for the smooth flow of data.

Compare Database Management Systems (DBMS) Products

Create a long list

In this step, buyers should keep their options open to consider the full range of products. Buyers have the freedom to explore numerous offerings that the database management software market has. In addition, this is the main step to evaluate the answers to the above questions. The long list can be made much more concise and smaller by addressing the goals.

Create a short list

Buyers can make much more granular comparisons on this step. In addition to this, buyers can use the G2 reviews to further narrow this list down.

Conduct demos

Once the list has been reduced to a couple of vendors, buyers may begin to request a demo. During the demo, buyers should seek out information that is related to their non-negotiable terms. This is a good stage where the buyer can delve more deeply into understanding how secure their database will be, if they can promise high-performance support, and what the features are—latency in loading databases, after-service support, staff training, and other additional features that can be provided when opting for their DBMS product. 

Selection of Database Management Systems (DBMS)

Choose a selection team

Choosing the right team to work together to decide the right DBMS is a critical part of the process since several personas would need to access the database applications as per requirements. The team should include a mix of different personas who have the required skills, the interest, and the time. Some roles include DBMS admins, CXOs, application developers, and others.

Negotiation

A buyer can choose to negotiate to trim costs. The buyer needs to note that if in the future there is a requirement for scaling, there would be additional costs or an increase to the subscription pricing. For example, in case a customer chooses to opt for DBaaS solutions in addition to on-premises DBMS, it would be a good practice to check with the DBMS vendor if they offer any cloud support, training, and other factors. Keeping such factors in mind will help the buyer to put forward better negotiation tactics for the specific functions that matter.

Final decision

Once all the steps are complete, the final decision is made weighing all factors and scenarios. Having a trial run of the DBMS using smaller databases is a good place to start. A small group of database admins can pass on their views to the team making the final decision.