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TiDB
The Distributed SQL Database by PingCAP

TiDB
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Home: https://www.pingcap.com

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What is TiDB?

TiDB, developed by PingCAP, is an advanced, open-source distributed SQL database engineered for high performance and significant scalability. It enables organizations to manage vast data volumes, ranging from terabytes to petabytes, and supports high throughput operations involving millions of queries and transactions per second without the need for complex manual sharding. The core aim of TiDB is to simplify data infrastructure management for modern, data-intensive applications.

The platform provides architectural flexibility, adeptly handling a variety of workloads such as transactional processing, analytical queries, operational tasks, and AI-driven functions like vector search. TiDB offers multiple deployment models to suit different needs: TiDB Cloud Serverless for dynamic, auto-scaling workloads; TiDB Cloud Dedicated for predictable performance with dedicated resources; and TiDB Self-Managed for users requiring full control over their infrastructure. It ensures high availability and strong data consistency, making it a reliable foundation for critical enterprise systems.

Features

  • Seamless Scalability: Effortless scaling from terabytes to petabytes without sharding or downtime.
  • High Availability: Built-in data consistency and 99.99% availability.
  • Hybrid Workload Support: Handles transactional, analytical, operational, and AI workloads.
  • Vector Search: Integrated capability for AI applications.
  • MySQL Compatibility: High compatibility with MySQL protocols and syntax.
  • Flexible Deployment: Offers Cloud Serverless, Cloud Dedicated, and Self-Managed options.
  • Open Source: Based on Apache 2 license.
  • Security & Compliance: GDPR, SOC, HIPAA, and PCI compliant.

Use Cases

  • Modernizing MySQL Workloads
  • Enabling Operational Intelligence
  • Building Scalable SaaS Applications
  • Powering Fintech Platforms
  • Supporting Large-Scale eCommerce Operations
  • Developing AI-driven Applications
  • Managing Microservices Data Architectures

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