Oracle TimesTen: extreme performance for latency-critical applications
summary
Claims that Oracle TimesTen turns SQL caching into an actual in‑memory relational cache, not a dumb resultset store, and demonstrates concrete wins: single‑node selects ~1.7 microseconds and updates ~3.9 microseconds, 51 million QPS on a small scaleout setup and 3.1 billion QPS with 64 shards, 153 million ACID TPS for 80/20 read/write. Tools and integrations: SQL Developer cache‑group wizard, Oracle GoldenGate replication, Kubernetes containers. Real deployments: eBay profile cache, T‑Mobile 5–40× faster microservices, one customer 33× faster complex queries versus RAC.
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chapters (6)
- 0:00Intro
- 1:34Where SQL Data caching can help speed up your database
- 12:11Enterprise caching with Times Ten
- 20:15153 million ACID transactions per second
- 23:01Times Ten is a GoldenGate Target
- 24:58T-Mobile Siebel Read Cache
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