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Apache ShardingSphere - 分布式数据库生态圈

Empowering Data Intelligence with Distributed SQL for Database Sharding, Scalability, and Security Across All Databases. Apache ShardingSphere is a comprehensive ecosystem for distributed databases, offering solutions for data sharding, distributed transactions, and database governance.

Java
Added on 2025年6月7日
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Apache ShardingSphere - 分布式数据库生态圈 preview
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Project Introduction

Summary

Apache ShardingSphere is an open-source ecosystem that transforms any database into a distributed database. It provides a distributed SQL layer and enhanced capabilities for data sharding, distributed transactions, read/write splitting, and database governance, compatible with various database protocols and platforms.

Problem Solved

Addresses challenges associated with database sharding, such as code intrusion, vendor lock-in, scalability limitations, and complex management of distributed data.

Core Features

Distributed Database Middleware

Provides data sharding, distributed transactions, read/write splitting, and database governance features.

Database Plus Ecosystem

Transforms any database into a distributed database system, supporting multiple database protocols and types.

Tech Stack

Java
SQL
JDBC
R2DBC
Spring Boot
Kubernetes
MySQL
PostgreSQL
Oracle
SQLServer

使用场景

Applicable in scenarios requiring scalable database solutions for high-traffic applications, large datasets, and distributed environments:

Scenario 1: High-Concurrency E-commerce Platforms

Details

Handle massive transaction volumes and user data by automatically sharding the database based on business logic.

User Value

Ensures system stability and performance under heavy load, supports massive user growth without significant refactoring.

Scenario 2: IoT Data Management

Details

Manage and query vast amounts of time-series or event data generated by IoT devices or log collection systems.

User Value

Provides efficient storage and retrieval for big data scenarios, simplifying data access across multiple database instances.

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