Ross ROSS = Recommend OSS · open-source software intelligence for agents

Apache ShardingSphere

Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases. observed · 2026-10-17

github.com/apache/shardingsphere · Java · Apache-2.0 (permissive) observed · 2026-10-17

Health v2 · maintenance only

77/100

  • Activity 100
  • Release rhythm 33
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 247.0
  • age_days: 3928
  • days_rel: 234
  • days_push: 4
  • n_releases_24m: 3

Full methodology

Adoption not part of the score

20808 stars · 6905 forks observed · 2026-10-17

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-19, confidence 0.97

Apache ShardingSphere is an open‑source distributed database ecosystem that provides sharding, read/write splitting, encryption, and distributed transaction capabilities for existing relational databases. It acts as a middleware layer that enables horizontal scaling and advanced data management without replacing the underlying database.

Use cases

  • Scale a MySQL or PostgreSQL cluster horizontally using sharding.
  • Implement read/write splitting to balance load across replica databases.
  • Add transparent encryption and masking to protect sensitive data in existing databases.
  • Enable distributed transactions across multiple heterogeneous databases.
  • Federate queries across different data sources for unified analytics.

When to choose

  • You need to horizontally scale an existing relational database without migrating to a new DBMS.
  • Your application requires read/write splitting for high‑throughput read workloads.
  • You must enforce data encryption or masking across multiple database instances.
  • You need distributed transaction support across heterogeneous databases.

When to avoid

  • Your workload is simple and fits comfortably on a single database instance.
  • You require a full‑featured database engine rather than a middleware layer.
  • Low‑latency, single‑node performance is more critical than scalability.

Facets

framework · maturity active

database orm serialization middleware routing databases big-data cloud-computing security jvm windows cloud self-hosted sharding distributed-sql read-write-splitting distributed-transaction encryption data-masking query-federation multi-db-support data-engineering linux macos docker

2 sources

Member repositories

For agents

markdown · JSON · MCP: product_card(name="apache/shardingsphere")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem