How Can HTAP Databases Simplify Your Data Infrastructure?
summary
Demo ingests 5+ billion GitHub events into TiDB and serves real-time analytics without Kafka/Spark/warehouse/caching layers, claiming a single HTAP system replaces the usual MySQL/NOSQL + Kafka + ETL + warehouse + serving stack. TiDB uses row and column stores with smart selection and 96MB replicated regions for automatic sharding. Case studies report 300–500% query improvements and 80% cost reduction at Pinterest and ~30x throughput gains vs MySQL for a CRM use case, and it survives regional failures.
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chapters (12)
- 0:00Introduction
- 2:50GitHub Live Demo
- 5:45Big Data Architecture
- 11:05GitHub Events
- 11:55How to build an application
- 15:13How to scale
- 21:49What is IDB
- 23:01What is TIB
- 25:22TIB Regions
- 28:16Pinterest
- 32:14CRM
- 34:17Conclusion
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