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Fully managed, petabyte-scale cloud data warehouse for analytics and reporting
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Distributed relational database delivering high‑availability, linear scalability, and vector search.
OceanBase is a distributed relational database built on Paxos, offering ultra‑fast OLTP/OLAP performance, seamless MySQL compatibility, real‑time analytics, and native vector search for AI workloads.

OceanBase is a distributed relational database engineered for enterprises that require continuous availability and massive scale. Built on the Paxos consensus protocol, it runs on a common server cluster without dependence on specific hardware, enabling petabyte‑scale storage and trillions of rows in a single cluster.
The platform delivers ultra‑fast OLTP and OLAP performance (TPC‑C 707 M tmpC, TPC‑H 15.26 M QphH) while providing zero data loss (RPO=0) and sub‑8‑second recovery (RTO<8 s). It supports HTAP workloads, offers 70‑90 % storage cost savings, and includes native vector indexing for AI‑driven similarity search. MySQL compatibility ensures easy migration from existing MySQL deployments.
Developers can launch OceanBase via an all‑in‑one Linux installer, Docker images (mini mode), or the ob‑operator on Kubernetes. Source compilation is also supported for custom builds. Comprehensive documentation, community channels, and case studies help teams adopt the database across finance, telecom, retail, and internet sectors.
When teams consider OceanBase, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
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Runs combined transactional and analytical queries without a separate data warehouse, reducing latency and cost.
Large‑scale semantic search
Enables AI‑driven search across multilingual corpora with sub‑millisecond response times.
Yes, OceanBase implements the MySQL protocol, allowing most MySQL clients and tools to connect directly.
The all‑in‑one installer runs on Linux. Docker images are also Linux‑based.
OceanBase provides vector indexing and similarity query operators, enabling high‑throughput, low‑latency searches on embedding vectors.
Yes, the ob‑operator automates deployment and management of OceanBase clusters in Kubernetes environments.
OceanBase is released under an open‑source license; refer to the repository for the exact license details.
Project at a glance
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