Build Global-Scale Apps Using Globally Distributed Autonomous Databases
summary
A globally distributed database that actually moves petabytes and millions of ops, not just marketing fluff: BlueKai runs 1 million transactions per second on 104 commodity servers (5,408 CPU cores, 77.4 TB RAM) with 2.5 petabytes distributed across shards and cross‑datacenter replicas for data sovereignty. It exposes full SQL (joins, constraints, parallel analytics), supports AI vector search, offers multiple sharding and replication modes, and adds Raft quorum replication with failover under three seconds plus autonomous provisioning and online resharding.
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chapters (15)
- 0:00Globally distributed databases
- 1:13Key use cases
- 3:01Data sovereignty with Oracle
- 4:25BlueKai workloads
- 5:51Oracle’s SQL-first architecture
- 7:35Oracle data distribution
- 9:44Replication strategies
- 11:08Shard deployment
- 12:33Modern apps with converged DB
- 13:37Autonomous DB management
- 14:00Demo: distributed autonomous DB
- 16:54Natural language queries
- 17:36Raft replication in 23ai
- 18:16AI vector search
- 18:39Key takeaways
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