Chat2DB: A Database Management Tool for Intelligent SQL and Data Report Generation

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General Introduction

Chat2DB is an open source database management and SQL client tool developed by CodePhiliaX team, integrating AI features to support rapid writing of SQL queries, managing databases, generating data reports, and multi-database interaction. It supports more than 16 major databases , including MySQL, PostgreSQL, Oracle, SQL Server, SQLite, ClickHouse , etc., for developers, data analysts and database administrators.Chat2DB provides community open source version , local version and Pro version , the community version is free and open , Pro version provides more The Pro version offers more advanced features such as table structure synchronization and smart dashboard generation. As of March 2025, the project has 16.8k stars and 1.9k forks on GitHub, with an active community and frequent updates, making it ideal for efficient database management.

Chat2DB: Database Management Tool for Intelligent SQL and Data Report Generation-1

Chat2DB Commercial Edition address: https://chat2db-ai.com/

Function List

Intelligent SQL Generation: Quickly generate complex SQL statements through AI to improve query writing efficiency.
Multi-database support: Support 16+ databases, including MySQL, PostgreSQL, Oracle, MongoDB, Redis, etc., with a goal of expanding to 100+.
Data report generation: Use AI to generate data visualization dashboards for easy data analysis and presentation.
Table Structure Synchronization: Supports database table structure comparison and synchronization to simplify the management process (available in Pro and local versions).
Data import and export: Supports database structure and data import/export operations (available in Pro and local versions).
Cross-platform operationCompatible with Windows, MacOS, and Linux systems for a wide range of usage scenarios.
Visualization Table Editor: Provides an intuitive interface to view and modify table structures and data.
SQL file running: Support for opening and running external SQL files (available in Pro and local versions).

Using Help

Installation process

Chat2DB offers several installation methods, including Docker, local source compilation and pre-compiled package download. Below are the detailed steps:

Method 1: Docker Installation (Community Edition)

system requirements
- Docker 19.03.0 or later.
- Docker Compose 1.25.0 or later.
- CPU ≥ 2 cores, RAM ≥ 4GB.
Installation steps
- Open a terminal and run the following command to pull and start the container:
```
docker rm chat2db
docker run --name=chat2db -ti -p 10824:10824 -v ~/.chat2db-docker:/root/.chat2db chat2db/chat2db:latest
```
- Command Description:
  - -p 10824:10824 Mapping ports.
  - -v ~/.chat2db-docker:/root/.chat2db Persistent data.
- After starting, the terminal displays Tomcat started on port(s): 10824 (http) Indicates success.
access service
- Browser input http://localhost:10824If you want to access the Chat2DB interface, you can do so by clicking on the following link
Reboot or update
- Reboot:docker start chat2dbThe
- Update: Rerun the above command after deleting the old container.

Method 2: Source code compilation and installation

Environmental requirements
- Java 17 (Open JDK 17 recommended).
- Node.js 16 or later (Yarn only, not npm).
- Maven 3.8 or later.

Cloning Code

Cloning with Git:

git clone https://github.com/codePhiliaX/Chat2DB.git

front-end debugging
- Go to the client directory and run it:
```
cd Chat2DB/chat2db-client
yarn
yarn run start:web
```
- The local development interface can be accessed in a browser after startup.

back-end debugging

Go to the server-side directory and compile:

cd ... /chat2db-server
mvn clean install
cd chat2db-server/chat2db-server-start/target/
java -jar -Dloader.path=. /lib -Dchatgpt.apiKey=xxxxx chat2db-server-start.jar

Note: Required ChatGPT API Key to enable AI features, otherwise some features are limited.

access service
- interviews http://localhost:10824 Using Chat2DB.

Method 3: Pre-compiled package installation

Visit the download page (https://chat2db.ai/download maybe https://github.com/codePhiliaX/Chat2DB/releases/tag/v0.3.6).
Select the version according to the system (e.g. Chat2DB-0.3.6-mac.zip).
Unzip it and run the executable to use it.

Functional operation flow

1. Connecting to the database

move::
1. Start Chat2DB and click on "New Connection" on the left side.
2. Select the database type (e.g. MySQL) and enter the host address, port, user name and password.
3. Click on "Test Connection" and click on "Save" when successful.
draw attention to sth.: Supports database grouping management (Pro version and local version) for easy multi-project management.

2. Intelligent SQL Generation

workflow::
1. Select the connected database and click "New Query".
2. Enter a natural language description in the editor (e.g. "Query the number of user registrations in the last 7 days").
3. Click "AI Generation" to generate the SQL statement.
4. Check the statement and click "Run" to see the result.
caveat: The Community Edition requires AI configuration, the Pro and Local Editions are ready to use after installation.

3. Data report generation

workflow::
1. Click on the "Smart Dashboard" module (Pro and Local) on the left.
2. Select the data source and enter the requirement (e.g. "Quarterly Revenue Statistics").
3. Click "AI Generate" to generate the visualization chart.
4. Adjust chart style, save or export to Excel/PDF.
finesse: Supports the Chat2Excel feature for direct export to a table file.

4. Table Structure Synchronization

workflow::
1. Click on "Data Structure Synchronization" (Pro version and local version).
2. Select the source and target databases.
3. The system compares the differences and displays the field changes.
4. Confirm and click "Synchronize" to complete the operation.
take note of: It is recommended to backup the database before synchronization.

5. Data import and export

workflow::
1. Select the table in the database list, right click and select "Export Data".
2. Select the format (e.g. CSV, SQL) and set the export path.
3. To import, select "Import Data", upload the file, and confirm.
Scope of Support: This feature is supported in the Pro and Local versions.

6. Visualization Table Editor

workflow::
1. Select the target table to go to the Table Details page.
2. Click the field edit button to modify the table structure or data.
3. The corresponding SQL statement is automatically generated after saving.
specificities: Supports direct modification of query results (Pro version and local version).

Version Differences and Options

community edition: Free open source , support 16+ databases , basic SQL is fully functional , suitable for individual developers .
local version: Extended features such as table structure synchronization, data migration, AI out of the box for small teams.
Pro version: Support for cross-device use and more advanced features for business users.

caveat

AI Configuration: Community Edition requires manual entry of the ChatGPT API Key, Pro and Local Edition have built-in AI support.
System compatibility: Ensure that the operating environment meets minimum requirements to avoid performance problems.
Community Support: Available on GitHub (https://github.com/codePhiliaX/Chat2DB) to submit questions or join the Discord (https://discord.gg/JDkwB6JS8A).