Compare the Top SQL Editors that integrate with GitHub as of July 2025

This a list of SQL Editors that integrate with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.

What are SQL Editors for GitHub?

SQL editors are software tools that enable users to write, edit, and execute Structured Query Language (SQL) queries to interact with databases. These editors provide an interface for managing and manipulating data in relational database management systems (RDBMS), allowing users to create, read, update, and delete (CRUD) records in tables. SQL editors often include features like syntax highlighting, query formatting, auto-completion, and debugging tools to make the writing and execution of SQL queries easier and more efficient. Many also offer integration with different databases, support for complex queries, and built-in tools for database design and management. By enhancing the user experience and providing powerful database manipulation capabilities, SQL editors are essential tools for database administrators and developers. Compare and read user reviews of the best SQL Editors for GitHub currently available using the table below. This list is updated regularly.

  • 1
    Visual Expert
    Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL, and PowerBuilder. Identify code dependencies to modify your code without breaking your application. Scan your code to improve the security, performance, and quality. Perform Impact analysis to Identify breaking changes. Automatically scan your code to detect and fix security vulnerabilities, bugs and maintenance Issues. Implement continuous code inspection Understand the inner workings of your code with call graphs, code diagrams, CRUD Matrix and Object Dependency Matrix (ODM). Automatically generate an HTML Source Code documentation. Explore your code exploration with hyperlinks Compare applications, databases or pieces of code. Improve maintainability. Clean up code. Comply with dev standards. Analyze and Improve DB code performance: Find slow objects and SQL queries, Optimize a slow object, a Chain of calls a slow SQL, Get a query Execution Plan. And much more.
    Starting Price: $495 per year
  • 2
    Bytebase

    Bytebase

    Bytebase

    Bytebase offers a web-based collaboration workspace to help DBAs and developers manage the database development lifecycle. Standardize database changes with peer review, lint rules, and GitOps integration. Run ad-hoc SQL queries with built-in data privacy protection via web-based IDE. Eliminate administrative complexity and ensure compliance with holistic policy control. Bytebase streamlines database deployment from non-prod to prod with change review workflow and optional GitOps integration. 100+ lint rules to detect SQL anti-patterns and enforce consistent SQL style in the organization. Batch change to multiple databases across different environments and tenants in a single ticket. Reuse developer workflow and manage change scripts in VCS. Lockless schema change to reduce database downtime from hours to seconds. Bytebase employs a security-first approach to protect your data with access control, data anonymization, watermarking, audit log, and more.
    Starting Price: $100 per month
  • 3
    SQLNotebook

    SQLNotebook

    TimeStored

    SQL Notebooks allow developers to write Markdown combined with SQL to produce live HTML5 reports. They offer a lightning-fast, modern HTML5 interface where data sources are queried in real time. Users can create beautiful, live-updating SQL notebooks, easily source control the code, and take static snapshots to share with colleagues who don't have database access. SQL Notebooks are available in both QStudio Version 4, a desktop SQL client based on editing markdown files locally, and Pulse Version 3, which serves as a shared team server accessible via a web address. To help users get started, a showcase of example notebooks has been created in collaboration with leading community members; these examples are snapshotted versions with static data, and the source markdown and most of the data to recreate them are available on GitHub.
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