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Author: Shawn Ma (Tech Lead of the Real-time Analytics team at PingCAP) Transcreator: Ran Huang; Editor: Tom Dewan As the novel Romance of the Three Kingdoms tells us, “The empire, long divided, must unite; long united, must divide.” The same ebb and flow are taking place in the database world. In the beginning, one type of DBMS served all data requests. But […]

Hybrid Transactional and Analytical Processing, or HTAP, is a defining feature of TiDB. It means that you can run both transactional and analytical queries from within the same database. TiDB provides HTAP, ensuring that your queries are always running against the most current data available.

Load balancing helps you distribute application connections over multiple servers and reroute connections if a TiDB instance becomes unavailable. This article talks about the best practices for TiDB load balancing.

This post describes how you can develop your application locally and use the type of database used in production.

This post shows how to install, configure, and run TiDB on a Google Cloud Platform instance.

This two-part blog series will teach you how to get a TiDB cluster up and running on Google Cloud Platform. The first part shows how to prepare your GCP environment.

To simplify the development of data-intensive applications of all sizes for global enterprises, PingCAP deploys its database service on Google Cloud, creating a fully managed database-as-a-service TiDB Cloud with high automation, scalability, ease of use, and security compliance.

TiDB 5.1 is released. It features more stable latency, optimized MPP performance and stability, and more convenient maintenance. Developers and DBAs can more easily build mission-critical applications at any scale.

TiDB 5.0 features a comprehensive HTAP solution enhanced by an MPP analytical query engine. This article introduces the new TiDB 5.0 HTAP architecture and how TiDB 5.0 serves various transactional & analytical hybrid workload scenarios.

Big data is a growing need for ambitious companies. Learn the usage, cost, and technology selection of real-time big data analytics and how TiDB prevails over other solutions.

In this post, you'll learn how the financial industry uses databases in their mission critical systems and how TiDB-based solutions help them address the pain points of traditional RDBMS.

Running TiDB on EKS clusters with Graviton processors offers up to 25% better price-performance ratio compared to an x86-based cluster. This article discusses the benchmark tests we ran.