An enterprise distributed database ecosystem that enhances heterogeneous databases with sharding, scalability, and security via JDBC and Proxy access layers.
Apache ShardingSphere is an open-source distributed database ecosystem that enhances existing databases with sharding, scalability, and security features. It operates as a Database Plus layer, providing unified access to heterogeneous databases while adding enterprise capabilities like distributed transactions, data encryption, and read/write splitting. It solves the challenges of scaling and securing database architectures without requiring migration to new database systems.
Enterprise architects, database administrators, and backend developers building scalable, high-performance applications that need to manage large datasets across multiple database instances. It is particularly relevant for teams using Java or heterogeneous tech stacks requiring distributed database features.
Developers choose Apache ShardingSphere because it offers a lightweight, pluggable alternative to heavyweight distributed databases, protecting existing investments and avoiding vendor lock-in. Its dual-access architecture (JDBC and Proxy) provides flexibility for both embedded and standalone deployments, supporting a wide range of database protocols and enterprise-grade features out of the box.
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
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Offers both embedded ShardingSphere-JDBC for performance and standalone ShardingSphere-Proxy for language-agnostic access, providing deployment flexibility based on scenario needs.
Modular design allows custom combinations of features like sharding, encryption, and observability, enabling tailored solutions without vendor lock-in.
Unified gateway for MySQL, PostgreSQL, Oracle, and others, simplifying access and management across multi-database environments.
Built-in field-level encryption, data masking, and SQL audit help meet compliance standards like GDPR, with transparent implementation.
ANTLR caching for SQL parsing can cause heap memory growth, leading to OOM errors in applications with many SQL templates, as warned in the README.
Setting up sharding rules, encryption policies, and distributed transactions requires significant expertise and can be error-prone, adding to setup time.
Deploying and maintaining ShardingSphere-Proxy clusters adds infrastructure management and monitoring burden compared to native database solutions.