An open-source, cloud-native, distributed SQL database for elastic scale and real-time analytics
Why TiDB?
Open-source under Apache 2, No Lock-in
Supported by a wealth of open-source data migration tools in the ecosystem, TiDB gives you the freedom to choose your own vendor and avoid lock-in.
Scale-out Relational Database
Purposely built to deliver SQL at scale, TiDB eliminates the scaling problems of traditional relational databases without intrusion to your application.
Real-time Analytics
HTAP database platform that enables real-time situation awareness and decision making on live transactional data and eliminates friction between IT and business goals.
The Benefits of Distributed SQL
SQL at Scale
TiDB is ACID-compliant and strongly consistent. You can use TiDB as a scale-out MySQL database with familiar SQL syntaxes and ecosystem tools.
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Elastic Scalability
TiDB automatically shards your data so you don’t have to do it manually. You can simply add new nodes to scale horizontally and elastically to meet your business growth.
See how your data is distributed
Simplicity and Safety
TiDB simplifies the ETL process and automatically recovers from errors. You can focus on your business and stop worrying about your database infrastructure.
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Better Insights with Timely Data
TiDB supports real-time analytics. By breaking the wall between OLTP and OLAP, it makes your applications adaptive to transient business opportunities.
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Use Cases
OLTP
Horizontally-scalable Relational Database
Scalable online transactional processing
- 400+ TB of transactional production data in a single TiDB cluster
- Trillions of rows in a single distributed table
HTAP
Real-time Analytics
Hybrid Transactional and Analytical Processing
- Millisecond response times over trillions of rows
- No wall between transactional data and analytical reporting
Learn More in Engineering Blogs
Why We Switched from bcc-tools to libbpf-tools for BPF Performance Analysis
By Wenbo Zhang
Libbpf + BPF CO-RE is better than BCC. It greatly reduces storage space and runtime overhead, and it improves programmers' deployment and development experience.
How a Top Game Company Uses Chaos Engineering to Improve Testing
By Hui Zhang
NetEase Fuxi AI Lab is China's first professional game AI research institution. In their search for a Chaos Engineering tool to test their Kubernetes-based AI training platform, they chose Chaos Mesh and have improved their system resiliency ever since.
Best Practices for TiDB on AWS Cloud
By Xinye Tao
This article illustrates the best practices of running TiDB on AWS, including how to choose the suitable cloud storage and properly configure the system.
Get Started with TiDB
On Bare-metal
On Public Cloud
Database as a Service
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