One Platform, Many Workloads: Powering AI Applications with OceanBase
summary
Platform claim: a single OceanBase database runs SQL plus vector on Kubernetes so structured and unstructured queries execute in one engine with triple replicas and the Pepsus consensus algorithm. Measured outcomes are concrete: end-to-end query latency falls from ~70 ms with multi-system round trips to ~50 ms, 70% latency drop in case study, data refresh hours to minutes, and integration code reduced by over 40%, removing ETL churn and tenant interference.
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chapters (6)
- 0:00Introduction and Overview
- 1:13The Challenges of AI Workloads
- 2:25Unified Platform Solution
- 4:37Case Study: AI-Powered Knowledge Retrieval
- 10:07Ocean Base Architecture and Benefits
- 12:28Key Takeaways and Conclusion
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