Free universal database tool and SQL client

Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.

🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.

🏆 实时 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码，前端(客户端) 定制返回 JSON 的数据和结构 🏆 Real-Time coding-free, powerful and secure ORM 🚀 providing APIs and Docs without coding by Backend, and the returned JSON of API can be customized by Frontend(Client) users

An powerful enhanced toolkit of MyBatis for simplify development

QuestDB is an open source time-series database for fast ingest and SQL queries

Flyway by Redgate • Database Migrations Made Easy.

jOOQ is the best way to write SQL in Java

Flink CDC is a streaming data integration tool

JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

Database Subsetting and Relational Data Browsing Tool.

LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.

We do Open Source ERP - Fast, Flexible & Free Software to scale your Business.

Postgresql JDBC Driver

Automated testing to find logic and performance bugs in database systems

Collection of 300+ best practices for Java persistence performance in Spring Boot applications

Addax is a versatile open-source ETL tool that can seamlessly transfer data between various RDBMS and NoSQL databases, making it an ideal solution for data migration.

支持连表查询的mybatis-plus,mybatis-plus风格的连表操作提供wrapper.leftJoin(),wrapper.rightJoin()等操作

A reference implementation of an event-sourced system that uses PostgreSQL as an event store built with Spring Boot. Fork the repository and use it as a template for your projects. Or clone the repository and run end-to-end tests to see how everything works together.