Oceanbase
The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.
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About
OceanBase Database is a distributed relational database. It is developed entirely by Ant Group. The OceanBase Database is built on a common server cluster. Based on the Paxos protocol and its distributed structure, the OceanBase Database provides high availability and linear scalability. The OceanBase Database is not dependent on specific hardware architectures. It also supports vector database functionality, enabling efficient vector search for AI and large-scale retrieval scenarios.
Key features
- Vector Search: Supports vector indexing and efficient queries, making it ideal for AI applications, recommendation systems, and semantic search, providing high throughput and low-latency vector search capabilities.
- Transparent Scalability: 1,500 nodes, PB data and a trillion rows of records in one cluster.
- Ultra-fast Performance: TPC-C 707 million tmpC and TPC-H 15.26 million QphH @30000GB.
- Cost Efficiency: saves 70%–90% of storage costs.
- Real-time Analytics: supports HTAP without additional cost.
- Continuous Availability: RPO = 0(zero data loss) and RTO < 8s(recovery time)
- MySQL Compatible: easily migrated from MySQL database.
See also key features for more details.
Quick start
See also Quick experience or Quick Start (Simplified Chinese) for more details.
🔥 Start with all-in-one
You can quickly deploy a stand-alone OceanBase Database to experience with the following commands:
Note: Linux Only
# download and install all-in-one package (internet connection is required)
bash -c "$(curl -s https://obbusiness-private.oss-cn-shanghai.aliyuncs.com/download-center/opensource/oceanbase-all-in-one/installer.sh)"
source ~/.oceanbase-all-in-one/bin/env.sh
# quickly deploy OceanBase database
obd demo🐳 Start with docker
Note: We provide images on dockerhub, quay.io and ghcr.io. If you have problems pulling images from dockerhub, please try the other two registries.
- 1.Start an OceanBase Database instance:
```shell
# Deploy a mini standalone instance.
docker run -p 2881:2881 --name oceanbase-ce -e MODE=mini -d oceanbase/oceanbase-ce
# Deploy a mini standalone instance using image from quay.io.
# docker run -p 2881:2881 --name oceanbase-ce -e MODE=mini -d quay.io/oceanbase/oceanbase-ce
# Deploy a mini standalone instance using image from ghcr.io.
# docker run -p 2881:2881 --name oceanbase-ce -e MODE=mini -d ghcr.io/oceanbase/oceanbase-ce
```
Don't lose this
Three weeks from now, you'll want Oceanbase again. Will you remember where to find it?
Save it to your library and the next time you need Oceanbase, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. The Fastest Distributed Database for Transactional, Analytical, and AI Workloads. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Your data stays between you and your AI — nothing is shared with us or anyone else.
What's New
Imported from GitHub
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