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

TiDB

Some data may be outdated — see provenance labels.

TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling. observed · 2026-09-26

github.com/pingcap/tidb · homepage · Go · Apache-2.0 (permissive) observed · 2026-09-26

Health v2 · maintenance only

96/100

  • Activity 96
  • Release rhythm 95
  • 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: 27
  • age_days: 4063
  • days_rel: 33
  • days_push: 25
  • n_releases_24m: 18

Full methodology

Adoption not part of the score

40589 stars · 6247 forks observed · 2026-09-26

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-28, confidence 0.98

TiDB is an open‑source, cloud‑native distributed SQL database with strong ACID guarantees. It supports hybrid transactional/analytical processing, vector search, and seamless horizontal scaling.

Use cases

  • store and query relational data for AI agents with low latency
  • run HTAP workloads that require both OLTP and OLAP in a single system
  • scale a multi‑tenant SaaS platform without downtime
  • enable vector search for AI‑native applications
  • replace sharded MySQL clusters with a single globally consistent database

When to choose

  • you need MySQL compatibility combined with distributed scalability
  • your workload mixes transactional and analytical queries
  • you require strong consistency across multiple data centers
  • you want native support for vector search in the same database
  • you prefer a cloud‑native solution that can run on Kubernetes or as a managed DBaaS

When to avoid

  • you have very low‑latency, single‑node requirements where a simple MySQL instance suffices
  • your team cannot manage the operational complexity of a distributed system
  • you need a specialized time‑series or graph database
  • you are constrained to environments without Go runtime support

Facets

service · maturity active

database vector-database search-engine databases windows cloud mysql-compatible htap distributed-transactions cloud-native horizontal-scaling high-availability ai-agents data-engineering linux macos docker kubernetes

9 sources

Member repositories

For agents

markdown · JSON · MCP: product_card(name="pingcap/tidb")

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