Chat2DB: Open‑Source AI‑Powered Multi‑Database Client – Installation, Configuration, and Feature Demonstration

What is Chat2DB

Chat2DB is an open‑source free multi‑database client tool that supports Windows, macOS, and server‑side deployment with web access. Compared with traditional clients such as Navicat and DBeaver, Chat2DB integrates AIGC capabilities, allowing natural language to be converted into SQL and vice versa, providing SQL optimization suggestions and greatly improving developer efficiency. In the AI era, even non‑technical users can quickly query business data and generate reports.

Download and Installation

Project releases address: https://github.com/alibaba/Chat2DB/releases

Select the version that matches your computer environment; the author uses the macOS X64 (Intel) version.

Installation Configuration

Double‑click the downloaded package and drag it to the Applications folder to install. After installation, configure the Chat2DB AI SQL feature by opening Settings and entering your OpenAI API key (obtainable from the OpenAI website under "View API keys").

After creating the key, input it in Settings.

At this point the basic configuration is complete; we can now explore Chat2DB.

Chat2DB First Experience

Configure Data Source

Using MySQL as an example, click the plus (+) button to add a new data source.

Fill in the connection details and select the database (example uses a database named test ).

Note: on macOS the client currently lists all databases even when a specific one is selected (a known bug).

Prepare Test Data

The author prepared a set of test tables: course , score , student , and student_course . The following SQL creates the schema and inserts sample records.

SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
-- Table structure for `course`
-- ----------------------------
DROP TABLE IF EXISTS `course`;
CREATE TABLE `course` (
  `id` int NOT NULL AUTO_INCREMENT COMMENT '科目ID',
  `name` varchar(50) NOT NULL COMMENT '科目名称',
  `teacher` varchar(50) NOT NULL COMMENT '授课教师',
  `credit` int NOT NULL COMMENT '科目学分',
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='科目表';

-- ----------------------------
-- Records of `course`
-- ----------------------------
BEGIN;
INSERT INTO `course` VALUES (1, '语文', '张老师', 100);
INSERT INTO `course` VALUES (2, '数学', '王老师', 100);
COMMIT;

-- ----------------------------
-- Table structure for `score`
-- ----------------------------
DROP TABLE IF EXISTS `score`;
CREATE TABLE `score` (
  `id` int NOT NULL AUTO_INCREMENT COMMENT '成绩ID',
  `student_id` int NOT NULL COMMENT '学生ID',
  `course_id` int NOT NULL COMMENT '科目ID',
  `score` int NOT NULL COMMENT '成绩',
  PRIMARY KEY (`id`),
  KEY `student_id` (`student_id`),
  KEY `course_id` (`course_id`),
  CONSTRAINT `score_ibfk_1` FOREIGN KEY (`student_id`) REFERENCES `student` (`id`),
  CONSTRAINT `score_ibfk_2` FOREIGN KEY (`course_id`) REFERENCES `course` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='学生成绩表';

-- ----------------------------
-- Records of `score`
-- ----------------------------
BEGIN;
INSERT INTO `score` VALUES (1, 1, 1, 90);
INSERT INTO `score` VALUES (2, 1, 2, 95);
INSERT INTO `score` VALUES (3, 2, 1, 100);
INSERT INTO `score` VALUES (4, 2, 2, 99);
COMMIT;

-- ----------------------------
-- Table structure for `student`
-- ----------------------------
DROP TABLE IF EXISTS `student`;
CREATE TABLE `student` (
  `id` int NOT NULL AUTO_INCREMENT COMMENT '学生ID',
  `name` varchar(50) NOT NULL COMMENT '学生姓名',
  `gender` varchar(10) NOT NULL COMMENT '学生性别',
  `birthday` date NOT NULL COMMENT '学生生日',
  `address` varchar(100) NOT NULL COMMENT '学生住址',
  `phone` varchar(20) NOT NULL COMMENT '学生联系方式',
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='学生信息表';

-- ----------------------------
-- Records of `student`
-- ----------------------------
BEGIN;
INSERT INTO `student` VALUES (1, '小明', '男', '2023-06-16', '广州', '13724889158');
INSERT INTO `student` VALUES (2, '小羊', '女', '2023-06-16', '广州', '13800126000');
COMMIT;

-- ----------------------------
-- Table structure for `student_course`
-- ----------------------------
DROP TABLE IF EXISTS `student_course`;
CREATE TABLE `student_course` (
  `id` int NOT NULL AUTO_INCREMENT COMMENT '关系ID',
  `student_id` int NOT NULL COMMENT '学生ID',
  `course_id` int NOT NULL COMMENT '科目ID',
  PRIMARY KEY (`id`),
  KEY `student_id` (`student_id`),
  KEY `course_id` (`course_id`),
  CONSTRAINT `student_course_ibfk_1` FOREIGN KEY (`student_id`) REFERENCES `student` (`id`),
  CONSTRAINT `student_course_ibfk_2` FOREIGN KEY (`course_id`) REFERENCES `course` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='学生选修科目表';

-- ----------------------------
-- Records of `student_course`
-- ----------------------------
BEGIN;
INSERT INTO `student_course` VALUES (1, 1, 1);
INSERT INTO `student_course` VALUES (2, 1, 2);
INSERT INTO `student_course` VALUES (3, 2, 1);
INSERT INTO `student_course` VALUES (4, 2, 2);
COMMIT;

SET FOREIGN_KEY_CHECKS = 1;

Recognize Several Functional Menus

After selecting a table, four menus appear:

Natural Language to SQL – describe the query in Chinese and the tool generates the corresponding SQL.

SQL Explanation – converts a SQL statement into a readable Chinese description.

SQL Optimization – provides performance improvement suggestions for the entered SQL.

SQL Dialect Conversion – converts SQL between different database dialects (e.g., MySQL to SQL Server).

Start Testing – Natural Language to SQL

Enter the request: "查询学生小明的各科目成绩，包括科目名称、教师名字段" and click the Natural Language to SQL button.

Select the involved tables (course, score, student) in the popup.

The generated SQL is shown:

SQL Explanation

Click the SQL Explanation button to see the natural‑language description of the generated query.

--- BEGIN ---
SELECT course.name, course.teacher, score.score 
FROM score 
INNER JOIN course ON score.course_id = course.id 
INNER JOIN student ON score.student_id = student.id 
WHERE student.name = '小明'
--- 解释SQL ---
这个 SQL 查询语句的作用是从三个表中选择课程名称、教师和分数，其中分数是从score表中获取的。通过 INNER JOIN 将score表与course表和student表连接起来，连接条件是score表中的course_id等于course表中的 id， 同时score表中的student_id等于student表中的 id。最后，通过 WHERE 子句筛选出学生名字为 "小明" 的记录。
--- END ---

SQL Optimization

Chat2DB also provides optimization suggestions for the same query.

--- BEGIN ---
SELECT course.name, course.teacher, score.score 
FROM score 
INNER JOIN course ON score.course_id = course.id 
WHERE EXISTS (SELECT 1 FROM student WHERE student.id = score.student_id AND student.name = '小明')
--- END ---

Optimization suggestions include adding indexes on score.course_id and score.student_id , avoiding wildcard patterns in WHERE clauses, and using EXISTS instead of INNER JOIN when appropriate.

Summary of Use

The walkthrough demonstrates that Chat2DB can quickly generate SQL from natural language, explain complex queries, and offer performance tips. While it handles many common scenarios well, extremely complex business SQL may still require manual verification, and optimization advice should be evaluated against actual business requirements.

Future Features

The open‑source project plans to add environment isolation, team collaboration, table creation/modification/deletion, and support for non‑relational databases in upcoming releases.