About
Fully managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems. New customers get $300 in free credits to spend on Cloud SQL. You won’t be charged until you upgrade. Reduce maintenance costs with fully managed MySQL, PostgreSQL and SQL Server databases. Ensure business continuity with reliable and secure services backed by 24/7 SRE team. Data encryption at rest and in transit. Private connectivity with Virtual Private Cloud and user-controlled network access with firewall protection. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA. Scale your instances effortlessly with a single API call whether you start with simple testing or you need a highly available database in production.
Simplify database operations with AI-powered assistance in Gemini, now in preview on Cloud SQL. It streamlines development, performance optimization, fleet management, governance, and migration.
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About
Oracle database products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. Oracle Autonomous Database, available on-premises via Oracle Cloud@Customer or in the Oracle Cloud Infrastructure, enables customers to simplify relational database environments and reduce management workloads. Oracle Autonomous Database eliminates the complexity of operating and securing Oracle Database while giving customers the highest levels of performance, scalability, and availability. Oracle Database can be deployed on-premises when customers have data residency and network latency concerns. Customers with applications that are dependent on specific Oracle database versions have complete control over the versions they run and when those versions change.
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About
With TIMi, companies can capitalize on their corporate data to develop new ideas and make critical business decisions faster and easier than ever before. The heart of TIMi’s Integrated Platform. TIMi’s ultimate real-time AUTO-ML engine. 3D VR segmentation and visualization. Unlimited self service business Intelligence. TIMi is several orders of magnitude faster than any other solution to do the 2 most important analytical tasks: the handling of datasets (data cleaning, feature engineering, creation of KPIs) and predictive modeling. TIMi is an “ethical solution”: no “lock-in” situation, just excellence. We guarantee you a work in all serenity and without unexpected extra costs. Thanks to an original & unique software infrastructure, TIMi is optimized to offer you the greatest flexibility for the exploration phase and the highest reliability during the production phase. TIMi is the ultimate “playground” that allows your analysts to test the craziest ideas!
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About
python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers and IT companies interested in a powerful managed service that supports automated provisioning of PostgreSQL, SQL, and MySQL relational databases. Part of the Google Cloud Platform
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Audience
Application Developers looking for a Database Management solution
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Audience
A solution for companies that want to capitalize on their corporate data to develop new ideas and make critical business decisions
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Audience
Developers searching for a solution offering a library to write SQL queries
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free ($300 in free credits)
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationGoogle
Founded: 1998
United States
cloud.google.com/sql
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/database/
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Company InformationTIMi
Founded: 2007
Belgium
timi.eu/timi/
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Company InformationPython Software Foundation
United States
pypi.org/project/python-sql/
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CategoriesGoogle Cloud SQL is a fully-managed database service that simplifies the process of setting up, maintaining, and scaling databases in the cloud. It provides automated backups, patches, and performance optimizations, reducing the burden on database administrators. Users can easily manage their database workloads without worrying about hardware or software maintenance. Google Cloud SQL supports several database engines, including MySQL, PostgreSQL, and SQL Server. New customers also receive $300 in free credits to try Google Cloud SQL, allowing them to explore the service and assess its benefits for their business needs. Google Cloud SQL is a fully-managed Database as a Service (DBaaS) that allows businesses to leverage the power of relational databases without the hassle of managing infrastructure. It provides automatic backups, updates, and scaling, ensuring a smooth and reliable experience for users. Google Cloud SQL’s DBaaS model helps organizations reduce operational overhead while ensuring high availability and performance. This solution supports multiple database engines such as MySQL, PostgreSQL, and SQL Server. New customers get $300 in free credits to try Google Cloud SQL, making it easy to assess the service's potential without any initial investment. Google Cloud SQL is an advanced Database Management System (DBMS) that takes care of crucial tasks such as database provisioning, patching, scaling, and security updates. This fully-managed service eliminates the need for users to handle manual maintenance or database optimization, ensuring high performance and reliability. With Cloud SQL, businesses can run their database workloads with minimal downtime and maximum efficiency. It supports popular DBMS engines, including MySQL, PostgreSQL, and SQL Server, providing a flexible solution for diverse use cases. New customers receive $300 in free credits to explore the service and experience the ease of DBMS management in the cloud. Google Cloud SQL provides an ideal platform for running Relational Database Management Systems (RDBMS) in the cloud. It offers fully-managed MySQL, PostgreSQL, and SQL Server databases, taking care of database maintenance tasks like patching, backups, and scaling. This allows users to focus on building their applications instead of managing complex database operations. Cloud SQL ensures high availability and strong performance for relational databases with automatic replication and failover. Additionally, new customers receive $300 in free credits to explore Google Cloud SQL and evaluate its capabilities for their RDBMS needs. Google Cloud SQL offers a managed service for running Relational Databases, allowing businesses to store and manage structured data using relational models. It provides high availability, automatic backups, and seamless scaling, ensuring that relational databases like MySQL, PostgreSQL, and SQL Server can perform optimally without manual intervention. Cloud SQL automates many tasks traditionally handled by database administrators, including patching and updating. With its ease of use and reliability, it’s an excellent choice for users looking for cloud-based relational databases. New customers can also take advantage of $300 in free credits to try Google Cloud SQL and see how it fits their relational database requirements. Google Cloud SQL offers a fully-managed service for SQL databases, supporting MySQL, PostgreSQL, and SQL Server. It simplifies database administration by automating backup management, scaling, and security patches, allowing users to focus on their applications instead of infrastructure. With Google Cloud SQL, users can achieve high performance and reliability for SQL-based workloads with minimal effort. This service supports complex queries and data relationships, making it a great option for organizations that need robust SQL database solutions in the cloud. New customers also get $300 in free credits to explore and try Google Cloud SQL, helping them evaluate the service for their SQL database needs. Google Cloud SQL provides a fully-managed solution for running SQL Server databases in the cloud, offering an easy way to host and manage enterprise-grade SQL workloads. It takes care of critical tasks like automated backups, patches, and updates, ensuring a secure and high-performance environment for SQL Server databases. Cloud SQL also allows users to scale their SQL Server databases based on demand, offering flexibility without the need for manual management. It supports all versions of SQL Server, from standard to enterprise editions, providing a powerful and cost-effective solution. New customers receive $300 in free credits to explore SQL Server on Google Cloud SQL and see how it fits their needs. |
Categories |
Categories |
Categories |
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Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
RDBMS Features
Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization
Relational Database Features
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
SQL Server Features
CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring
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Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
NoSQL Database Features
Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management
Relational Database Features
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
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Big Data Features
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Business Intelligence Features
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Dashboard Features
Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets
Data Analysis Features
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Cleansing Features
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation
Data Discovery Features
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Management Features
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Mining Features
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Preparation Features
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
ETL Features
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Financial Risk Management Features
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Machine Learning Features
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Marketing Analytics Features
A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics
NoSQL Database Features
Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management
Predictive Analytics Features
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Preventive Maintenance Features
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
Reporting Features
Customizable Dashboard
Data Source Connectors
Drag & Drop
Drill Down
Email Reports
Financial Reports
Forecasting
Marketing Reports
OLAP
Report Export
Sales Reports
Scheduled / Automated Reports
Robotic Process Automation (RPA) Features
Analytics
Attended Automation
Code-free Development
Image Recognition
Optical Character Recognition
Process Builder
Third Party Application Integration
Unattended Automation
Sales Forecasting Features
Competitor Analysis
Correlation Analysis
Dashboard
Dynamic Modeling
Exception Reporting
Graphical Data Presentation
Modeling & Simulation
Performance Metrics
Sales Trend Analysis
Statistical Analysis
Statistical Analysis Features
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
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Integrations
Alithya GoTest
Apache Kafka
Boltic
DB Designer
DigDash
EMS Data Generator for MySQL
ElevateHQ
Firebase
HuLoop
IBM Power Servers
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Integrations
Alithya GoTest
Apache Kafka
Boltic
DB Designer
DigDash
EMS Data Generator for MySQL
ElevateHQ
Firebase
HuLoop
IBM Power Servers
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Integrations
Alithya GoTest
Apache Kafka
Boltic
DB Designer
DigDash
EMS Data Generator for MySQL
ElevateHQ
Firebase
HuLoop
IBM Power Servers
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Integrations
Alithya GoTest
Apache Kafka
Boltic
DB Designer
DigDash
EMS Data Generator for MySQL
ElevateHQ
Firebase
HuLoop
IBM Power Servers
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