Companies that use Vitess

Frequently asked questions

What is the source of this data?

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

How often is the data updated?

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

What is Vitess?

Vitess is a database clustering system for horizontal scaling of MySQL through generalized sharding. It is an open-source project that provides features such as resharding, replica handling, and orchestrated failover. Initially developed by YouTube to manage the massive scaling requirements of serving videos to millions of users, Vitess has now become a popular choice for companies looking to scale their MySQL infrastructure while maintaining stability and reliability.

Vitess falls under the category of Databases and is specifically designed to address the challenges of horizontal scaling in the MySQL ecosystem. By allowing users to manage a large number of MySQL instances as a single, distributed database, Vitess enables seamless scalability without sacrificing the benefits of traditional SQL databases.

Founded in 2010 by YouTube engineers, Vitess was motivated by the need to scale MySQL databases effortlessly in a cloud-native environment. As cloud computing became more prevalent, the demand for a solution that could handle the complexities of managing large MySQL deployments efficiently grew, paving the way for Vitess' development.

In terms of current market share, Vitess has seen significant adoption among tech companies and enterprises seeking to scale their MySQL databases horizontally. With the growing popularity of cloud-native architectures and the increasing demand for scalable database solutions, Vitess is poised to continue its growth trajectory in the future. As more organizations move towards distributed, cloud-based infrastructures, the need for technologies like Vitess is expected to increase, indicating a positive outlook for its market share in the coming years.

How to get an updated list of companies that use Vitess?

You can access an updated list of companies using Vitess by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

How many customers does Vitess have?

As of now, we have data on 105 companies that use Vitess.

Who uses Vitess?

Vitess is used by a diverse range of organizations across various industries, including "Technology, Information And Internet", "Technology, Information And Internet", "Financial Services", "Financial Services", "Software Development", "Software Development", "Financial Services", "Computer Hardware Manufacturing", "Software Development", "Software Development". For a comprehensive list of all industries utilizing Vitess, please visit TheirStack.com.

What companies use Vitess?

Some of the companies that use Vitess include Cash App, Slack, Afterpay, Databento, Wish, PlanetScale, Emma - we are hiring!, Emma Technologies, Vinted, Weave and many more. You can find a complete list of 105 companies that use Vitess on TheirStack.com.

In which countries Vitess is used the most?

Based on our data, Vitess is most popular in United States (55 companies), United Kingdom (7 companies), Canada (2 companies), India (2 companies), Australia (1 companies), China (1 companies), Estonia (1 companies), France (1 companies), Germany (1 companies), Ireland (1 companies). However, it is used by companies all over the world.

How to find companies that use Vitess?

You can find companies using Vitess by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.