KubeCon + CloudNativeCon + Open Source Summit + AI_dev China 2024

You might have heard of TiDB, a distributed open-source database known for its virtually limitless horizontal scalability, capable of handling both online transactional processing and analytical workloads while being compatible with the MySQL protocol. Traditionally, different databases have been employed to handle various workloads in our application architecture designs. Commonly, relational databases are used for online transaction processing, with data asynchronously distributed to analytical databases, document stores, and cache databases. With the rise of AI, an additional type of database needs consideration — the vector database. But introducing this type of database can add unnecessary complexity to your technology stack. This talk we will discuss how TiDB integrates multiple functionalities such as real-time transaction processing, online analytics, sharding-free architecture, and vector type computations, all aimed at reducing the cognitive load for developers.

您可能已经听说过 TiDB，这是一个分布式开源数据库，以其几乎无限的水平扩展性而闻名，能够处理在线事务处理和分析工作负载，同时兼容 MySQL 协议。 传统上，在我们的应用架构设计中，通常会使用不同的数据库来处理各种工作负载。通常情况下，关系数据库用于在线事务处理，数据会异步分布到分析数据库、文档存储和缓存数据库。随着人工智能的兴起，还需要考虑一种额外的数据库类型 —— 向量数据库。但引入这种类型的数据库可能会给您的技术堆栈增加不必要的复杂性。 在本次演讲中，我们将讨论 TiDB 如何集成多种功能，如实时事务处理、在线分析、无分片架构和向量类型计算，所有这些都旨在减少开发人员的认知负荷。