About
MySQL Workbench is a unified visual tool for database architects, developers, and DBAs. MySQL Workbench provides data modeling, SQL development, and comprehensive administration tools for server configuration, user administration, backup, and much more. MySQL Workbench is available on Windows, Linux and Mac OS X. MySQL Workbench enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL. The Database Connections Panel enables developers to easily manage standard database connections.
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About
A Powerful MySQL Development and Administration Solution. SQLyog Ultimate enables database developers, administrators, and architects to visually compare, optimize, and document schemas. SQLyog Ultimate includes a power tool to automate and schedule the synchronization of data between two MySQL hosts. Create the job definition file using the interactive wizard. The tool does not require any installation on the MySQL hosts. You can use any host to run the tool. SQLyog Ultimate includes a power tool to interactively synchronize data. Run the tool in attended mode to compare data from source and target before taking action. Using the intuitive display, compare data on source and target for every row to decide whether it should be synchronized in which direction. SQLyog Ultimate includes a power tool to interactively compare and synchronize schema. View the differences between tables, indexes, columns, and routines of two databases.
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About
Toad Software is a database management toolset from Quest that database developers, database administrators and data analysts use to manage both relational and non-relational databases using SQL. Take a proactive approach to database management. Re-focus your teams on more strategic initiatives, and move your business forward in today’s data-driven economy. Toad solutions enable you to maximize your investment in data technology by empowering data professionals to automate processes, minimize risks and cut project delivery timelines by nearly half. Lower the total cost of ownership for new applications by reducing the impact of inefficient code on productivity, future development cycles, performance and availability. See why millions of users trust Toad for their most critical systems and data environments. It’s time to gain the competitive edge. Work smarter and meet the demands of today’s database environments.
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About
dbExpress is a database-independent layer that defines common interface to provide fast access to SQL database servers from Delphi and C++Builder including Community Edition, on Windows and macOS (32-bit and 64-bit) and Linux (64-bit) platforms. For each supported server, dbExpress provides a driver as an independent library that implements the common dbExpress interfaces for processing queries and stored procedures. As data-access layer is thin and simple, dbExpress provides high-performance database connectivity and is easy to deploy. You can use our drivers in the same way as the ones supplied by Embarcadero.
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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
Database architects and developers in search of a database management solution to optimize data modeling, SQL development, and database comprehensive administration
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Audience
Database developers, administrators, and architects who want a database management solution to visually compare, optimize, and document schemas and data
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Audience
Database developers, administrators and data analysts searching for a database tool to manage relational and non-relational databases using SQL
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Audience
Enterprise organizations
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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
No information available.
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
No information available.
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 InformationOracle
Founded: 1977
United States
www.mysql.com/products/workbench/
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Company InformationWebyog
United States
webyog.com/product/sqlyog/
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Company InformationQuest
Founded: 1987
United States
www.quest.com/toad/
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Company InformationDevart
Founded: 1997
Czech Republic
www.devart.com
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Integrations
Amazon Redshift
Anywhere365
Apache Hive
Collate
DbVisualizer
Google Cloud BigQuery
Hadoop
IBM Informix
MayaScale
MongoDB
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Integrations
Amazon Redshift
Anywhere365
Apache Hive
Collate
DbVisualizer
Google Cloud BigQuery
Hadoop
IBM Informix
MayaScale
MongoDB
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Integrations
Amazon Redshift
Anywhere365
Apache Hive
Collate
DbVisualizer
Google Cloud BigQuery
Hadoop
IBM Informix
MayaScale
MongoDB
|
Integrations
Amazon Redshift
Anywhere365
Apache Hive
Collate
DbVisualizer
Google Cloud BigQuery
Hadoop
IBM Informix
MayaScale
MongoDB
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