Why We Chose a Distributed SQL Database to Complement MySQL
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VIPKid chose TiDB to manage its high data volume, highly concurrent write application. Learn how TiDB excels in that scenario, along with multidimensional queries, data life cycle management, and real-time analytics. We use MySQL as our backend database.
But as our application data grew rapidly, standalone MySQL’s storage capacity became a bottleneck, and it could no longer meet our application requirements. We tried MySQL sharding on our core applications, but it was difficult to run multi-dimensional queries on sharded data. Therefore, we adopted TiDB, an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads.
TiDB supports creating secondary indexes on large tables. We can use it to perform multi-dimensional SQL queries. We don’t need to worry about cross-shard, multi-dimensional queries for sharding any more.
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