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Crate
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data
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.. image:: docs/_static/crate-logo.svg :alt: CrateDB :target: https://cratedb.com
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.. image:: https://github.com/crate/crate/actions/workflows/main.yml/badge.svg :target: https://github.com/crate/crate/actions?query=workflow%3A%22CrateDB+SQL%22
.. image:: https://img.shields.io/badge/docs-latest-brightgreen.svg :target: https://cratedb.com/docs/crate/reference/en/latest/
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Help us improve CrateDB by taking our User Survey! _
About =====
CrateDB is a distributed SQL database that makes it simple to store and analyze massive amounts of data in real-time.
CrateDB offers the benefits_ of an SQL database and the scalability and flexibility typically associated with NoSQL databases. Modest CrateDB clusters can ingest tens of thousands of records per second without breaking a sweat. You can run ad-hoc queries using standard SQL_. CrateDB's blazing-fast distributed query execution engine parallelizes query workloads across the whole cluster.
CrateDB is well suited to containerization_, can be scaled horizontally_ using ephemeral virtual machines (e.g., Kubernetes_, AWS_, and Azure_) with no shared state_. You can deploy and run CrateDB on any sort of network — from personal computers to multi-region hybrid clouds and the edge_.
Features ========
- Use
standard SQL_ via thePostgreSQL wire protocol_ or anHTTP API_.
- Dynamic table schemas and queryable objects provide
document-oriented features in addition to the relational features of SQL.
- Support for time-series data, real-time full-text search, geospatial data
types and search capabilities.
- Horizontally scalable, highly available and fault-tolerant clusters that run
very well in virtualized and containerized environments.
- Extremely fast distributed query execution.
- Auto-partitioning, auto-sharding, and auto-replication.
- Self-healing and auto-rebalancing.
User-defined functions_ (UDFs) can be used to extend the functionality of CrateDB.
Screenshots ===========
CrateDB provides an Admin UI_:
.. image:: crate-admin.gif :alt: Screenshots of the CrateDB Admin UI
Try CrateDB ===========
Run CrateDB via the official Docker Image_:
.. code-block:: console
sh$ docker run --publish 4200:4200 --publish 5432:5432 --env CRATE_HEAP_SIZE=1g crate '-Cdiscovery.type=single-node'
Or visit the installation documentation_ to see all the available download and install options.
Once you're up and running, head over to the introductory docs_. To interact with CrateDB, you can use the Admin UI sql console_ or the CrateDB shell_ CLI tool. Alternatively, review the list of recommended clients and tools_ that work with CrateDB.
For container-specific documentation, check out the CrateDB on Docker how-to guide_ or the CrateDB on Kubernetes how-to guide_.
Contributing ============
Don't lose this
Three weeks from now, you'll want Crate again. Will you remember where to find it?
Save it to your library and the next time you need Crate, 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. CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data. 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.
Read more:
What's New
Imported from GitHub
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