crate
crate/crate
Distributed and Scalable SQL Database
Overview
A PostgreSQL-compatible distributed SQL database for real-time data analysis.
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Install
git clone https://github.com/crate/crateREADME
.. image:: docs/_static/crate-logo.svg :alt: CrateDB :target: https://cratedb.com
.. 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/
.. image:: https://img.shields.io/badge/container-docker-green.svg :target: https://hub.docker.com/_/crate/
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Help us improve CrateDB by taking our User Survey! <https://cratedb.com/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
This project is primarily maintained by Crate.io_, but we welcome community
contributions!
See the developer docs_ and the contribution docs_ for more information.
Security
The CrateDB team and community take security bugs seriously. We appreciate your
efforts to responsibly disclose_ your findings, and will make every effort to
acknowledge your contributions.
If you think you discovered a security flaw, please follow the guidelines at
SECURITY.md_.
Help
Looking for more help?
-
Try one of our
beginner tutorials,how-to guides, or consult thereference manual_. -
Check out our
support channels_. -
Crate.io_ also offersCrateDB Cloud, a fully-managed CrateDB Database as a Service (DBaaS). TheCrateDB Cloud Tutorialswill get you started.
.. _Admin UI: https://cratedb.com/docs/crate/admin-ui/ .. _AWS: https://cratedb.com/docs/crate/tutorials/en/latest/cloud/aws/index.html .. _Azure: https://cratedb.com/docs