Navigating Business Growth: How TiDB Scales Petabyte-Level Data Volumes
Business growth is an exciting milestone, bringing more users, transactions, and opportunities to innovate. However, with growth comes significant technical challenges, such as: In this blog, we’ll explore how TiDB, an open-source distributed SQL database, addresses these business growth challenges. We’ll also walk through real-world examples from companies such as Bolt and Flipkart. Bolt: A […]
Unlocking Modern SaaS Platforms: How Distributed SQL Delivers Multi-Tenancy at Scale
At HTAP Summit 2024, Dave Burgess, an industry veteran, angel investor, and ex-VP of Data Engineering at Pinterest, walked through why distributed SQL has emerged as a key component of modern SaaS platforms. As Burgess explained during his keynote, traditional databases like MySQL and PostgreSQL may serve startups initially. However, as businesses scale and encounter […]
How Disaster Recovery (DR) Works in TiDB
In this post, we’ll focus on TiDB’s DR solutions. We’ll also analyze the pros and cons of these solutions as well as the most suitable deployment options.
Disaster Recovery for Databases: How It Evolves over the Years
In this post, you’ll learn the development of disaster recovery technologies and the databases that adopt those innovations.
Raft Engine: A Log-Structured Embedded Storage Engine for Multi-Raft Logs in TiKV
We introduce how we build and implement TiKV’s Raft Engine, a log-structured embedded storage engine for multi-Raft logs, and how it improves storage performance.
How a NewSQL Database Helps Keep Data Fresh and Maximize Its Business Value
This post talks about the pain points of current data solutions and shares how TiDB, a highly scalable enterprise-level distributed database, helps businesses keep their data fresh and realize the data’s business value.
Choosing the Right Enterprise-Grade Disaster Recovery Solution for the Financial Industry
Financial companies have stringent requirements for high availability and disaster recovery, which many databases cannot meet. This article describes how TiDB addresses both these issues with a range of options that make it an excellent choice for the industry.
How We Reduced Multi-region Read Latency and Network Traffic by 50%
High read latency and network traffic are common issues for a multi-region architecture. At TiDB Hackathon 2019, a team won 2nd place by reducing multi-region read latency and network traffic by 50%. Read this post to learn how they did it.