vitessio/vitess

Analysis updated 2026-06-21

★ 20,941GoAudience · ops devopsComplexity · 5/5LicenseSetup · hard

Mindmap

mindmap
  root((vitess))
    What It Does
      MySQL scaling
      Horizontal sharding
      Distributed database
    Tech Stack
      Go
      MySQL
      Kubernetes
    Use Cases
      Scale beyond one server
      Shard merge and split
      Cloud-native MySQL
    Audience
      Backend engineers
      DevOps teams
    Track Record
      YouTube infrastructure
      CNCF graduated project

mindmap root((vitess)) What It Does MySQL scaling Horizontal sharding Distributed database Tech Stack Go MySQL Kubernetes Use Cases Scale beyond one server Shard merge and split Cloud-native MySQL Audience Backend engineers DevOps teams Track Record YouTube infrastructure CNCF graduated project

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What do people build with it?

USE CASE 1

Scale a MySQL database beyond single-server capacity by adding horizontal sharding through Vitess without rewriting app queries.

USE CASE 2

Run a Kubernetes-native MySQL cluster that can split and merge shards with only seconds of cutover time.

USE CASE 3

Migrate a high-traffic MySQL application to a distributed setup without changing your SQL code.

What is it built with?

GoMySQLKubernetes

How does it compare?

	vitessio/vitess	navidrome/navidrome	lima-vm/lima
Stars	20,941	20,932	20,954
Language	Go	Go	Go
Setup difficulty	hard	moderate	moderate
Complexity	5/5	2/5	3/5
Audience	ops devops	general	developer

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1day+

Requires Kubernetes and significant MySQL operational knowledge, plan for a multi-day evaluation before production use.

Free to use for any purpose including commercial use under the Apache 2.0 license, keep the copyright notice.

In plain English

Vitess is a cloud-native, horizontally-scalable distributed database system built around MySQL, written in Go. It is designed to let you scale MySQL to essentially unlimited capacity through sharding, automatically splitting your data across many database servers, while keeping your application code and queries unaware of how the data is distributed. You can split and merge shards as your needs grow, with a cutover step that takes only a few seconds. Vitess was a core component of YouTube's database infrastructure from 2011 and grew to support tens of thousands of MySQL nodes. Starting in 2015, it was adopted by companies including Slack, Square (now Block), and JD.com. It is a graduated project under the Cloud Native Computing Foundation (CNCF) and integrates well with Kubernetes. A third-party security audit has been performed by ADA Logics. The project is open-source under the Apache 2.0 license.

Copy-paste prompts

Prompt 1

I have a MySQL database hitting capacity limits. Help me understand how Vitess sharding works and what changes my app needs to support it.

Prompt 2

Walk me through setting up Vitess on Kubernetes for a production MySQL workload, including how VSchema controls sharding rules.

Prompt 3

My app uses MySQL and I want to move to Vitess. What SQL patterns does Vitess not support and how should I refactor them?

Prompt 4

Help me understand what a Vitess shard split looks like in production, what is the cutover process and how long does it take for a live database?

Frequently asked questions

What is vitess?

Vitess is an open-source system written in Go that lets you scale MySQL to handle massive traffic by automatically sharding your data across many servers, while keeping your application queries unchanged.

What language is vitess written in?

Mainly Go. The stack also includes Go, MySQL, Kubernetes.

What license does vitess use?

Free to use for any purpose including commercial use under the Apache 2.0 license, keep the copyright notice.

How hard is vitess to set up?

Setup difficulty is rated hard, with roughly 1day+ to a first successful run.

Who is vitess for?

Mainly ops devops.

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