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Chat2DB Community v5.3.5

Chat2DB Community v5.3.5

Chat2DB Community is An Open Source AI SQL Client for Modern Database Development. Managing multiple databases for querying, schema exploration, and administration together with AI-powered assistance for writing, explaining, and optimizing SQL queries.
(4.8)

Developer

Chat2DB

Category

Developer Tools

Operating System

Windows / macOS / Linux

Date Published

Thu Sep 03 2026

Review Chat2DB Community v5.3.5

Chat2DB Community is a free and open source AI-powered database client and SQL workspace designed for developers, database administrators, analysts, and data engineers. It combines a modern SQL editor, multi-database management, and AI-assisted SQL generation into a single cross-platform application. Supporting more than 30 database systems, Chat2DB Community has become one of the fastest-growing open source alternatives to traditional database tools such as DBeaver and DataGrip.

Managing multiple databases often requires several tools for querying, schema exploration, and administration. Chat2DB Community brings these capabilities together while adding AI-powered assistance for writing, explaining, and optimizing SQL queries.

Unlike the commercial Pro edition, the Community edition is completely local. Users connect their own AI model or API provider, ensuring database access and AI configuration remain under their control. It is available for Windows, macOS, Linux, and Docker deployments.

Key Features of Chat2DB Community

AI-Assisted SQL Development

One of Chat2DB Community's biggest strengths is its AI integration. After configuring a supported AI provider, users can:

The Community edition supports user-configured AI models rather than bundled cloud AI services.

Broad Database Support

Chat2DB Community supports a wide variety of databases, including:

Additional databases can be added through plugins.

Modern SQL Workspace

The built-in SQL editor includes:

These features make day-to-day database development efficient and comfortable.

Database Management

Users can browse schemas, inspect tables, view indexes, manage connections, and execute SQL without switching between multiple utilities.

Cross-Platform Support

Chat2DB Community runs on Windows, macOS, Linux, and Docker, making it suitable for both desktop development and server-based deployments.

Self-Hosted

The Community edition can be deployed locally using Docker or by building from source. This makes it attractive for organizations that require complete control over their database tools and AI configuration.

Open Source

The project is actively maintained and developed in the open. Recent Community releases continue to improve usability, database compatibility, and AI integration while distinguishing Community and commercial editions more clearly.

Download Chat2DB Community v5.3.5 - Software Mirrors

Chat2DB Community v5.3.5 for Windows

Chat2DB-Community-5.3.5.msi | 405.32 MB

Chat2DB Community v5.3.5 for macOS

Chat2DB-Community-5.3.5-x64.dmg | 390.7 MB

Chat2DB-Community-5.3.5-arm64.dmg | 380.49 MB

Chat2DB Community v5.3.5 for Linux

Chat2DB-Community-5.3.5-x86_64.rpm | 374.78 MB

Chat2DB-Community-5.3.5-x86_64.AppImage | 363.55 MB

Chat2DB-Community-5.3.5-arm64.deb | 335.25 MB

Chat2DB-Community-5.3.5-arm64.AppImage | 363.09 MB

Chat2DB-Community-5.3.5-amd64.deb | 336.74 MB

Chat2DB-Community-5.3.5-aarch64.rpm | 375.71 MB

Others Download related to Chat2DB Community v5.3.5

SHA256SUMS | 906 B

Chat2DB Community v5.3.5 Source Code

Chat2DB Community v5.3.5 Source code (zip)

Chat2DB Community v5.3.5 Source code (tar.gz)

Chat2DB Community v5.3.5 Release Notes:

Chat2DB Community 5.3.5 adds AI conversation navigation and new database-specific capabilities, while making large result sets, workspace navigation, local files, and desktop sessions more reliable.

Added (4)

  • AI chat sessions can now be renamed from both chat surfaces, and the message navigation rail jumps directly to earlier user prompts by @openai0229 in PR #2849.
  • DM now supports real execution plans for both typed EXPLAIN statements and the Explain action by @haizhi03 in PR #2771.
  • Import and export execution logs now show live task progress and completion state by @openai0229 in PR #2857.
  • MySQL users can view and change index visibility on 8.0+, and column visibility on 8.0.23+, directly from the table editor by @Aias00 in PR #2606 and PR #2607.

Improved (8)

  • SQL result page sizes above 1,000 can be configured and preserved across execution and pagination, with reliable large-page loading on Web and Desktop by @openai0229 in PR #2750, PR #2756, PR #2761, and PR #2766.
  • Long result values stay compact by default, while manually resizing a row reveals the complete wrapped value without unbounded table rendering by @openai0229 in PR #2752, PR #2754, and PR #2863.
  • Datasource tree search preserves its query, expansion, selection, and refresh state until explicitly closed; clicked matches locate the real node and long names scroll horizontally by @openai0229 in PR #2751, PR #2755, PR #2758, and PR #2787.
  • Workspace tabs now locate the active header, scroll smoothly with mouse and trackpad input, preserve editor, result, and terminal state across pane splits, and render the first terminal tab correctly by @openai0229 in PR #2753, PR #2759, PR #2760, PR #2775, and PR #2789.
  • Datasource identity colors and editor watermarks are easier to distinguish, environment IDs map correctly, and workspace headers align consistently by @openai0229 in PR #2749, PR #2763, PR #2854, PR #2859, and PR #2860.
  • Redis key details can now be opened by clicking anywhere on a selectable key row by @openai0229 in PR #2853.
  • MySQL autocomplete avoids full-script parsing for ordinary large SQL and large IN lists, while retaining the existing parser for complex routines and ambiguous input by @openai0229 in PR #2865.
  • The integrated terminal now falls back through available platform shells when the preferred shell cannot start by @liushikuan63 in PR #2737.

Fixed (11)

  • Sorting, filtering, refreshing, and paging now update the active result instead of opening extra result sets; result edit actions and Cmd/Ctrl+S also commit the active cell correctly by @openai0229 in PR #2868.
  • Choosing Save while closing an unnamed SQL draft no longer leaves the naming dialog blocked behind the close confirmation by @openai0229 in PR #2736.
  • Local SQL and Markdown saves are serialized and use the latest path and encoding metadata; close, rename, delete, shortcut, and exit operations wait for pending writes by @openai0229 in PR #2861.
  • Large local-file contents are no longer copied into browser local storage, preventing quota failures while preserving restoration from disk by @openai0229 in PR #2866.
  • Community Web JDBC driver upload, download, save, and delete workflows work again with bounded, expiry-managed staged files by @openai0229 in PR #2787.
  • Desktop close, restart, and update operations now wait for editor save handling with a native fallback, while task polling runs only when needed. The unreliable manual task-cancel action and API have been removed by @openai0229 in PR #2776.
  • Bundled SQL syntax plugins now load reliably in desktop runtimes without classloader incompatibility errors by @openai0229 in PR #2773.
  • AI model configuration is now written atomically to avoid corruption or API-key loss during interrupted writes by @Aias00 in PR #2512.
  • Result search now matches visible custom-rendered column names as well as cell values by @openai0229 in PR #2851.
  • Hive namespaces now appear as database nodes, and metadata loading tolerates JDBC drivers that do not implement getURL() by @openai0229 in PR #2855.
  • Dynamic datasource forms now localize common connection fields and authentication options, while preserving unknown custom labels as fallback text by @openai0229 in PR #2864.

New Contributors

  • @liushikuan63 made their first contribution in PR #2737.
Full Changelog: v5.3.4...v5.3.5

Performance and User Experience

Chat2DB Community provides a modern interface that feels cleaner than many traditional database clients. Database connections are responsive, query execution is fast, and the SQL editor offers useful productivity features.

The AI assistant is particularly valuable for developers learning SQL or working with unfamiliar schemas. Being able to generate or explain queries directly within the editor reduces context switching and speeds up development.

Although the Community edition lacks several enterprise capabilities found in Chat2DB Pro, such as advanced data migration, hosted AI services, and cloud synchronization, it remains highly capable for individual developers and small teams.

Pros

Cons

Who Should Use Chat2DB Community?

Chat2DB Community is an excellent choice for software developers, database administrators, DevOps engineers, data analysts, and students who work with multiple database systems.

It is particularly useful for users who want an AI-assisted SQL client while retaining control over their own infrastructure and AI provider.

Final Verdict

Chat2DB Community successfully combines a capable database client with practical AI-assisted development features. Its broad database support, clean interface, flexible deployment options, and open source nature make it one of the strongest modern alternatives to traditional SQL tools.

While professional teams may benefit from the additional capabilities offered by the commercial edition, the Community version provides more than enough functionality for most developers and stands out as one of the best open source AI database clients available today.

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