![Citus Banner](/github-banner.png) [![Build Status](https://travis-ci.org/citusdata/citus.svg?branch=master)](https://travis-ci.org/citusdata/citus) [![Slack Status](http://slack.citusdata.com/badge.svg)](https://slack.citusdata.com) [![Latest Docs](https://img.shields.io/badge/docs-latest-brightgreen.svg)](https://docs.citusdata.com/) ### What is Citus? * **Open-source** PostgreSQL extension (not a fork) * **Scalable** across multiple machines through sharding and replication * **Distributed** engine for query parallelization * **Database** designed to scale multi-tenant applications Citus is a distributed database that scales across commodity servers using transparent sharding and replication. Citus extends the underlying database rather than forking it, giving developers and enterprises the power and familiarity of a relational database. As an extension, Citus supports new PostgreSQL releases, and allows you to benefit from new features while maintaining compatibility with existing PostgreSQL tools. Citus serves many use cases. Two common ones are: 1. [Multi-tenant database](https://www.citusdata.com/blog/2016/10/03/designing-your-saas-database-for-high-scalability): Most B2B applications already have the notion of a tenant / customer / account built into their data model. Citus allows you to scale out your transactional relational database to 100K+ tenants with minimal changes to your application. 2. [Real-time analytics](https://www.citusdata.com/blog/2017/01/27/getting-started-with-github-events-data): Citus enables ingesting large volumes of data and running analytical queries on that data in human real-time. Example applications include analytic dashboards with subsecond response times and exploratory queries on unfolding events. To learn more, visit [citusdata.com](https://www.citusdata.com) and join the [mailing list](https://groups.google.com/forum/#!forum/citus-users) to stay on top of the latest developments. ### Getting started with Citus The fastest way to get up and running is to create a Citus Cloud account. You can also setup a local Citus cluster with Docker. #### Citus Cloud Citus Cloud runs on top of AWS as a fully managed database as a service and has development plans available for getting started. You can provision a Citus Cloud account at [https://console.citusdata.com](https://console.citusdata.com/users/sign_up) and get started with just a few clicks. #### Local Citus Cluster If you're looking to get started locally, you can follow the following steps to get up and running. 1. Install Docker Community Edition and Docker Compose * Mac: 1. [Download](https://www.docker.com/community-edition#/download) and install Docker. 2. Start Docker by clicking on the application’s icon. * Linux: ```bash curl -sSL https://get.docker.com/ | sh sudo usermod -aG docker $USER && exec sg docker newgrp `id -gn` sudo systemctl start docker sudo curl -sSL https://github.com/docker/compose/releases/download/1.11.2/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose sudo chmod +x /usr/local/bin/docker-compose ``` The above version of Docker Compose is sufficient for running Citus, or you can install the [latest version](https://github.com/docker/compose/releases/latest). 2. Pull and start the Docker images ```bash curl -sSLO https://raw.githubusercontent.com/citusdata/docker/master/docker-compose.yml docker-compose -p citus up -d ``` 3. Connect to the master database ```bash docker exec -it citus_master psql -U postgres ``` 4. Follow the [first tutorial][tutorial] instructions 5. To shut the cluster down, run ```bash docker-compose -p citus down ``` ### Talk to Contributors and Learn More
Documentation | Try the Citus
tutorial for a hands-on introduction or the documentation for a more comprehensive reference. |
Google Groups | The Citus Google Group is our place for detailed questions and discussions. |
Slack | Chat with us in our community Slack channel. |
Github Issues | We track specific bug reports and feature requests on our project issues. |
Follow @citusdata for general updates and PostgreSQL scaling tips. |