PingCAP B2B Case Studies & Customer Successes

PingCAP is dedicated to building an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database. The flagship product, TiDB, features infinite horizontal scalability, strong consistency, and high availability. The goal of TiDB is to serve as a one-stop solution for all online transactions and analysis.

Case Studies

Showing 19 PingCAP Customer Success Stories

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How We Use a Distributed Database to Achieve Horizontal Scaling Without Downtime

Bank of Beijing logo

How Bank of China Uses a Scale-Out Database to Support Zabbix Monitoring at Scale

Bank of China logo

Why We Chose an HTAP Database over MySQL for Horizontal Scaling and Complex Queries

BIGO logo

BookMyShow.com More Uptime, 30% Less Operational Cost with TiDB

BookMyShow logo

How We Process Data Five Times More Efficiently Using a Scale-Out MySQL Alternative

China Telecom Bestpay logo

How TiDB Helps iQiyi Deliver Streaming Videos

iQiyi logo

How We Achieved 40 K QPS and 20+ Billion Rows of Data in a Single Scale-out Cluster

JD Cloud & AI logo

NetEase Games Why We Chose TiDB over Other MySQL-based and NewSQL Storage Solutions

NetEase Games logo

Why We Chose TiDB over MongoDB and MySQL

PalFish logo

Choosing the Right Database for Your Applications

Shopee logo

Running a Scale-Out Database on ARM as a MySQL Alternative

U-Next logo

Why We Chose a Distributed SQL Database to Complement MySQL

VIPKid logo

ZaloPay Using a Scale-Out MySQL Alternative to Serve Millions of Users

VNG Corporation logo

How We Use a Scale-Out HTAP Database for Real-Time Analytics and Complex Queries

Xiaohongshu logo

Powering the Xiaomi Mobile Lifestyle with TiDB

Xiaomi logo

How TiDB tackles fast data growth and complex queries for yuanfudao.com

Yuanfudao.com logo

Horizontally Scaling the Hive Metastore Database by Migrating from MySQL to TiDB

Zhihu logo

A Scale-Out Database Powers China's Letgo with Reduced Maintenance Costs

Zhuan Zhuan logo

Why We Migrated from Exadata to a Scale-Out HTAP Database for Near Real-Time Analytics

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