SQL Examiner SuiteIntelligent Database Solutions
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Related Products
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About
SQL Examiner Suite 2022 includes two award-winning products in one convenient package. SQL Examiner compares and synchronizes database schemas, while SQL Data Examiner performs the same task for actual data stored in databases. Learn more about database schema and data comparison. SQL Examiner Suite is a comprehensive solution performing fully automated comparison and synchronization of any two databases complete their structures and data. Databases in a variety of formats are supported, including all versions and editions of MS SQL Server from version 7.0 to 2019, PostgreSQL, SQL Azure Database, as well as most basic structures and objects of Oracle and MySQL databases. SQL Examiner fully supports all types of database objects found in MS SQL databases, and correctly synchronizes between different versions of MS SQL.
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About
SchemaFlow is a powerful tool designed to enhance AI-powered development by providing real-time access to your PostgreSQL database schema through the Model Context Protocol (MCP). It allows developers to connect their databases, visualize schema structures with interactive diagrams, and export schemas in various formats such as JSON, Markdown, SQL, and Mermaid. With native MCP support via Server-Sent Events (SSE), SchemaFlow enables seamless integration with AI-Integrated Development Environments (AI-IDEs) like Cursor, Windsurf, and VS Code, ensuring that AI assistants have up-to-date schema information for accurate code generation. It offers secure token-based authentication for MCP connections, automatic schema synchronization to keep AI assistants informed of any changes, and a schema browser for easy navigation of tables and relationships.
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies of all sizes
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Audience
Backend developers and data engineers in search of a tool to integrate real-time database schema context into their AI-assisted development workflows for enhanced code accuracy and efficiency
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$300 one-time payment
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationIntelligent Database Solutions
Founded: 2003
Russia
www.sqlaccessories.com
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Company InformationSchemaFlow
United States
www.schemaflow.dev/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Database Features
Backup and Recovery
Not Supported
Creation / Development
Not Supported
Data Migration
Not Supported
Data Replication
Supported
Data Search
Not Supported
Data Security
Not Supported
Database Conversion
Supported
Mobile Access
Not Supported
Monitoring
Not Supported
NOSQL
Not Supported
Performance Analysis
Not Supported
Queries
Not Supported
Relational Interface
Not Supported
Virtualization
Not Supported
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Integrations
Cline
Not Supported
Cursor
Not Supported
Devin Desktop
Not Supported
GitHub
Not Supported
JSON
Not Supported
Markdown
Not Supported
Model Context Protocol (MCP)
Not Supported
SQL
Not Supported
Visual Studio Code
Not Supported
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Integrations
Cline
Supported
Cursor
Supported
Devin Desktop
Supported
GitHub
Supported
JSON
Supported
Markdown
Supported
Model Context Protocol (MCP)
Supported
SQL
Supported
Visual Studio Code
Supported
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