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OceanBase

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.

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Overview

Overview

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.

Core Capabilities

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.

Getting Started

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.

Highlights

Native vector search for AI and semantic workloads
Linear scalability to 1,500 nodes and petabyte‑scale data
Zero data loss (RPO=0) with sub‑8‑second recovery (RTO<8s)
MySQL‑compatible interface for easy migration

Pros

  • High availability via Paxos with zero data loss
  • Linear scalability across thousands of nodes
  • Supports both OLTP and OLAP (HTAP) workloads
  • Built‑in vector search for AI applications

Considerations

  • All‑in‑one deployment is Linux‑only
  • Operational complexity may be high for small teams
  • English documentation is limited compared to Chinese resources
  • Enterprise‑grade performance may require sizable hardware

Managed products teams compare with

When teams consider OceanBase, these hosted platforms usually appear on the same shortlist.

Amazon Redshift logo

Amazon Redshift

Fully managed, petabyte-scale cloud data warehouse for analytics and reporting

Azure Synapse Analytics logo

Azure Synapse Analytics

Limitless analytics platform unifying enterprise data warehousing and big data analytics in a single service

Google BigQuery logo

Google BigQuery

Serverless, highly scalable cloud data warehouse

Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.

Fit guide

Great for

  • Enterprises needing continuous availability and massive scale
  • AI applications requiring fast vector similarity search
  • Hybrid transactional/analytical workloads (HTAP)
  • Teams migrating from MySQL seeking compatibility

Not ideal when

  • Developers looking for a lightweight embedded database
  • Environments limited to Windows operating system
  • Projects with minimal data volume and scaling needs
  • Teams without expertise in distributed systems

How teams use it

Real‑time fraud detection

Processes billions of transactions per day while instantly querying vector embeddings to flag anomalies.

Personalized recommendation engine

Delivers low‑latency, vector‑based recommendations across a petabyte‑scale item catalog.

Financial reporting with HTAP

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.

Tech snapshot

C++97%
Python2%
C1%
Yacc1%
CMake1%
Shell1%

Tags

oltpanalyticsvector-databasevectorsdistributed-databaseoceanbasefulltext-searchmysql-compatibilityhacktoberfestvector-searchhtapfulltext-supportcloud-nativefulltextolappaxosscalabledatabasevectormysql

Frequently asked questions

Is OceanBase compatible with MySQL clients?

Yes, OceanBase implements the MySQL protocol, allowing most MySQL clients and tools to connect directly.

What operating systems are supported?

The all‑in‑one installer runs on Linux. Docker images are also Linux‑based.

How does the native vector search work?

OceanBase provides vector indexing and similarity query operators, enabling high‑throughput, low‑latency searches on embedding vectors.

Can OceanBase be deployed on Kubernetes?

Yes, the ob‑operator automates deployment and management of OceanBase clusters in Kubernetes environments.

What license does OceanBase use?

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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