vitessio/vitess
Vitess is a database clustering system for horizontal scaling of MySQL. observed · 2026-08-28
Health v2 · maintenance only
96/100
- Activity 99
- Release rhythm 90
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0.0
- age_days: 4815
- days_rel: 70
- days_push: 7
- n_releases_24m: 35
Adoption not part of the score
21259 stars · 2385 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Vitess is a cloud-native database clustering system that horizontally scales MySQL through transparent, generalized sharding. It provides query routing, connection pooling, high availability, and near-zero-downtime resharding, and is a CNCF graduated project originally built for YouTube.
Use cases
- horizontally scale a MySQL database beyond a single server
- shard MySQL without changing application queries
- live resharding with near-zero downtime
- automate MySQL primary failover for high availability
- manage schema changes across many MySQL shards
- run a MySQL-compatible database on Kubernetes
- pool connections and improve MySQL performance at high concurrency
- migrate an existing MySQL database into a sharded cluster
When to choose
- your MySQL workload has outgrown vertical scaling and needs sharding
- you need transparent sharding so application code stays database-agnostic
- you operate large MySQL fleets on Kubernetes and want automated failover and resharding
- you need high connection counts with pooling and query rewriting
- you want a battle-tested system proven at YouTube, Slack, and Square scale
When to avoid
- your dataset fits comfortably on a single MySQL server
- you need a fully managed database without operational overhead
- your application relies on niche MySQL features not yet supported by Vitess
- you want a simple embedded or lightweight database for small projects
- you cannot operate additional infrastructure like etcd and cluster management components
Facets
service · maturity stable
database database-driver caching monitoring deployment container-orchestration databases microservices cloud-computing self-hosted go cloud self-hosted mysql sharding database-clustering horizontal-scaling cncf high-availability resharding vtgate vreplication kubernetes-operator devops linux kubernetes docker
10 sources
- readme: https://github.com/vitessio/vitess · fetched 2026-08-28 · 628dbf5ee7aa
- homepage: http://vitess.io · fetched 2026-08-29 · 2e9ba3c23b4d
- site_page: https://vitess.io/docs · fetched 2026-08-29 · 66e6578f9a5f
- site_page: https://vitess.io/docs/get-started/operator · fetched 2026-08-29 · c80a146c45b3
- site_page: https://vitess.io/docs/get-started/local · fetched 2026-08-29 · aeb3a1ede911
- site_page: https://vitess.io/docs/learning-resources · fetched 2026-08-29 · 1a405f8a0718
- site_page: https://vitess.io/changelog · fetched 2026-08-29 · 63e03ab4385a
- site_page: https://vitess.io/changelog/2024-08-23-recursive-cte · fetched 2026-08-29 · 7e0dd5b04bc0
- site_page: https://vitess.io/changelog/2024-07-22-an-interesting-optimization · fetched 2026-08-29 · 12a07b4f8878
- site_page: https://vitess.io/changelog/2023-04-24-schemadiff · fetched 2026-08-29 · 2c17790eb523
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| vitessio/vitess | main | 96 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem