TiDB, powered by PingCAP
The most advanced open-source distributed SQL database for modern, high-demand applications.
Founded in 2015, TiDB was born from the vision of three talented software engineers who set out to build a database system that would be more scalable and reliable than MySQL, while retaining its rich ecosystem of tools and frameworks. They also wanted a true open-source solution, ensuring flexibility and compatibility. What they didn’t know then was how TiDB would grow to become one of the world’s most popular distributed SQL databases.
With over 39,000 GitHub stars, TiDB is the leading open-source distributed SQL database, designed to power data-intensive applications with relentless elasticity, versatility, and reliability. Today, TiDB is trusted by world-renowned organizations such as Databricks, Plaid, Pinterest, and Atlassian to handle their most critical workloads, allowing developers to innovate faster and focus on building features rather than managing infrastructure.
Powered by PingCAP, TiDB continues to push the boundaries of what’s possible in data management. With support from leading firms like Sequoia Capital, GGV Capital, Access Technology Ventures, and Coatue Management, TiDB is on a mission to empower developers worldwide to distribute their data with speed, agility, and scale.
With over 39,000 GitHub stars, TiDB is the leading open-source distributed SQL database, designed to power data-intensive applications with relentless elasticity, versatility, and reliability. Today, TiDB is trusted by world-renowned organizations such as Databricks, Plaid, Pinterest, and Atlassian to handle their most critical workloads, allowing developers to innovate faster and focus on building features rather than managing infrastructure.
Powered by PingCAP, TiDB continues to push the boundaries of what’s possible in data management. With support from leading firms like Sequoia Capital, GGV Capital, Access Technology Ventures, and Coatue Management, TiDB is on a mission to empower developers worldwide to distribute their data with speed, agility, and scale.
