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
Metrics Relation Graph Helps DBAs Quickly Locate Performance Problems in TiDB
By Shuang Chen
TiDB v4.0.7 introduced a new feature: the metrics relation graph. It helps users clearly see the relationship between different performance metrics in a database cluster and thus quickly locate the root causes of performance problems.
Making an HTAP Database a Reality: What I Learned from PingCAP's VLDB Paper
By Xianlin Chen
Recently, VLDB published the PingCAP paper, TiDB: A Raft-based HTAP Database. In this article, a DBA at PalFish shares his thoughts on the article and his expectations for TiDB's future development.
TiCDC GA: Offering High-Availability Replication Services for Production Environments
By PingCAP
TiCDC is TiDB's change data capture framework. It is now generally available. This post introduces its features, application scenarios, and real-world case studies.
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