Engineering

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 […]

In the era of cloud computing and Software as a Service (SaaS), it’s essential to optimize resource use and scalability in databases. Multi-tenant architecture meets these needs by allowing a single database instance to serve multiple customers, or tenants. This ensures each tenant’s data remains isolated and secure, leading to enhanced cost efficiency, simplified management, […]

This blog introduces Web3Bench, a hybrid transaction/analytical processing (HTAP) benchmark that addresses earlier limitations. Web3Bench is based on real-world Web3 use cases that utilize HTAP. Our data model is a simplified version of the decentralized blockchain Ethereum. We leverage a sample data set from Ethereum to build a scale factor-based data generator. The workload in […]

We just built Open Source Benchmark, an innovative GPT designed to streamline open-source software (OSS) comparisons. Powered by our own data APIs and third-party APIs, this GPT analyzes two repositories and offers instant insights for tech decision-making. Open the GPT now and click PyTorch vs Tensor to see how it works in action.   How […]

Businesses often struggle to ensure smooth database connections during scaling and upgrades. Frustrations can surface from underused instances after scaling out, disruptions when scaling in, and potential disconnections during upgrades. While connection pools and long-lived connections offer stability, they can cause issues in fluid environments where databases need to adapt quickly. This leads to increased […]

Learn how Sync, Data Migration's core component, processes DML statements through the binlog replication workflow.

Inspired by the SIGMOD/PODS 22 paper “How Good is my #HTAP System” and HATtrick, the proposed benchmark tool, we tested the TP/AP performance isolation and horizontal scalability of TiDB as an HTAP database.

In this article, we compare the performance of TiDB and MySQL on one of the most popular low-code SaaS platforms, Corteza CRM. We also demonstrate how TiDB leverages its HTAP capabilities to the SaaS platform without any code changes and speeds up development of new applications.

In this blog, we will explain that with careful selection of Elastic Block Store (EBS) types and clever optimizations, deploying DBaaS on EBS can achieve even better performance than on local disks.

This post describes TiDB’s timestamp oracle (TSO), how it delivers time services, and its pros and cons.

Author: Elon Li (Software Engineer at PingCAP) Transcreator: Ran Huang; Editor: Tom Dewan Previous articles in this series: In our last article, we learned how to implement a component control loop in TiDB Operator. This time, I’ll move on to a new but important topic: backup and restore. Backup and restore are two of the most important and frequently used operations when […]

This post describes the practice of Chaos Engineering in K8s clusters, discusses important Chaos Mesh features through analysis of its source code, and explains how to develop Chaos Mesh's control plane with code examples.