
Learn how OceanBase achieves zero-downtime horizontal scaling through automatic data rebalancing, Multi-Paxos consensus, and transparent routing via ODP. Add nodes with a single parameter change.


Ontology vs. semantic layer: two different problems in the AI data stack. Why you need both, what breaks with only one, and how OceanBase unifies them.


OceanBase tenant-level scaling adjusts CPU, memory, and IOPS quotas in seconds — no data migration, no failover, no application changes. Here's how it works.


Learn how OceanBase eliminates manual sharding with transparent partitioning, automatic routing, distributed transactions, and online rebalancing.


See how the OceanBase plugin for Qoder Desktop handles host checks, deployment, verification, lifecycle operations, and ecosystem components.


OceanBase's integrated standalone-distributed architecture lets you start small, scale big — without repeated migrations.


OceanBase DataStudio unifies data ingestion, processing, governance, and serving for AI training data — replacing multi-system pipelines with a single lakebase-integrated workbench.


Multimodel tables unify structured, unstructured, vector, and JSON data with consistent transactions and hybrid search for agents.


Forrester recognizes OceanBase as a Strong Performer in Multimodel Data Platforms, Q2 2026 — with the highest possible score in transactional consistency, translytical capabilities, and deployment flexibility.


OceanBase Lakebase unifies multimodal data, transactions, search, and open compute as a single AI-ready data foundation.

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 ...
