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A database clustering system for horizontal scaling of MySQL
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What is Vitess?

It is a database solution for deploying, scaling and managing large clusters of MySQL instances. It’s architected to run as effectively in a public or private cloud architecture as it does on dedicated hardware. It combines and extends many important MySQL features with the scalability of a NoSQL database.
Vitess is a tool in the Databases category of a tech stack.
Vitess is an open source tool with GitHub stars and GitHub forks. Here’s a link to Vitess's open source repository on GitHub

Who uses Vitess?

8 companies reportedly use Vitess in their tech stacks, including Slack, Hubspot, and bigin.

30 developers on StackShare have stated that they use Vitess.

Vitess Integrations

Jobs that mention Vitess as a desired skillset

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Vitess's Features

  • Scalability
  • Connection pooling
  • Manageability

Vitess Alternatives & Comparisons

What are some alternatives to Vitess?
It allows you to deploy a database on-prem, in the cloud or even across clouds, all as a single store. It is a simple and straightforward bridge to your future, cloud-based data architecture.
Apache Aurora
Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
It's an extension to Postgres that distributes data and queries in a cluster of multiple machines. Its query engine parallelizes incoming SQL queries across these servers to enable human real-time (less than a second) responses on large datasets.
It has an advanced multi-core architecture. It's built from the ground up to support hundreds of thousands of concurrent connections, multiplexed to potentially hundreds of backend servers. It helps you squeeze the last drop of performance out of your MySQL cluster, without controlling the applications that generate the queries.
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Vitess's Followers
102 developers follow Vitess to keep up with related blogs and decisions.