
How OceanBase distinguishes a transient outage from a permanent loss, and why operators should intervene rather than wait for the automatic re-replication timer.


OceanBase Lakebase unifies multi-modal data, transactions, analytics, and AI search in one engine for the agent era.


AI is changing what enterprises need from databases. Learn how OceanBase AI Database combines lakebase architecture, multimodal data, hybrid search, and agent-friendly capabilities for the AI era.


How OceanBase goes beyond high availability with physical and logical verification, LSM-based compaction, and recovery to keep data correct.


MaLT embeds transaction metadata into LSM-tree, making commit, rollback, and recovery constant-time regardless of size. Bulk import of 2.5M rows speeds up 23.9%; recovery stays under 25s.


OceanBase uses background DR tasks (migrate, add, type-transform, rebuild) to keep tenant locality compliant, all online without pausing writes, observable via task views.


How OceanBase uses Multi-Paxos, log streams, replica types, and leader election to achieve zero data loss and fast failover.


RTO < 8s on the cluster isn't the same as RTO < 8s to the application. Trace how OBProxy's Location Cache, route feedback, and bounded retry close the gap.


seekdb, a MySQL-compatible state store for AI agents, delivers hybrid search in one SQL, 1,523 QPS streaming with 1.1× P99 jitter, and kernel-level Fork/Diff/Merge sandboxes for safe agent exploration.


Streaming benchmark shows traditional bulk-load tests miss agent needs. seekdb's fixed dual-index keeps P99 jitter at 1.1×.

Product insights, engineering deep dives, and real-world use cases from the OceanBase team.

Fifteen years ago, OceanBase had just been born and proven its amazing ability during the 11.11 Global Shopping Festival. In those days, we spent every waking moment researching emerging technologies and envisioning an exciting new future. Then, a particular quote left a deep impression on me. Marc ...
