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Updated descr, use case, customer, & get started

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@ -6,40 +6,43 @@
### What is Citus?
* **Open-source** PostgreSQL extension (not a fork)
* **Scalable** across multiple machines through sharding and replication
* **Built to scale out** across multiple nodes
* **Distributed** engine for query parallelization
* **Database** designed to scale multi-tenant applications
* **Database** designed to scale out multi-tenant applications, real-time analytics dashboards, and high-throughput transactional workloads
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 is an open source extension to Postgres that distributes your data and your queries across multiple nodes. Because Citus is an extension to Postgres, and not a fork, Citus gives developers and enterprises a scale-out database while keeping 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:
Citus serves many use cases. Three common ones are:
1. [Multi-tenant database](https://www.citusdata.com/blog/2016/10/03/designing-your-saas-database-for-high-scalability):
1. [Multi-tenant & SaaS applications](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):
2. [Real-time analytics](https://www.citusdata.com/blog/2017/12/27/real-time-analytics-dashboards-with-citus/):
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.
dashboards with sub-second response times and exploratory queries on unfolding events.
3. High-throughput transactional workloads:
By distributing your workload across a database cluster, Citus ensures low latency and high performance even with a large number of concurrent users and high volumes of transactions.
To learn more, visit [citusdata.com](https://www.citusdata.com) and join
the [mailing list](https://groups.google.com/forum/#!forum/citus-users) to
the [Citus slack](https://slack.citusdata.com/) 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.
The fastest way to get up and running is to deploy Citus in the cloud. You can also setup a local Citus database cluster with Docker.
#### Hyperscale (Citus) on Azure Database for PostgreSQL
Hyperscale (Citus) is a deployment option on Azure Database for PostgreSQL, a fully-managed database as a service. Hyperscale (Citus) employs the Citus open source extension so you can scale out across multiple nodes. To get started with Hyperscale (Citus), [learn more] (https://www.citusdata.com/product/hyperscale-citus/) on the Citus website or use the [Hyperscale (Citus) Quickstart](https://docs.microsoft.com/en-us/azure/postgresql/quickstart-create-hyperscale-portal) in the Azure docs.
#### 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.
Citus Cloud runs on top of AWS as a fully managed database as a service. 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
@ -91,12 +94,6 @@ If you're looking to get started locally, you can follow the following steps to
href="https://docs.citusdata.com">documentation</a> for
a more comprehensive reference.</td>
</tr>
<tr>
<td>Google Groups</td>
<td>The <a
href="https://groups.google.com/forum/#!forum/citus-users">Citus Google
Group</a> is our place for detailed questions and discussions.</td>
</tr>
<tr>
<td>Slack</td>
<td>Chat with us in our community <a
@ -113,6 +110,11 @@ If you're looking to get started locally, you can follow the following steps to
<td>Follow <a href="https://twitter.com/citusdata">@citusdata</a>
for general updates and PostgreSQL scaling tips.</td>
</tr>
<tr>
<td>Citus Blog</td>
<td>Read our <a href="https://www.citusdata.com/blog/">Citus Data Blog</a>
for posts on Postgres, Citus, and scaling your database.</td>
</tr>
</table>
### Contributing
@ -126,20 +128,17 @@ developing the Citus extension itself and our code quality guidelines.
Citus is deployed in production by many customers, ranging from
technology start-ups to large enterprises. Here are some examples:
* [Algolia](https://www.algolia.com/) uses Citus to provide real-time analytics for over 1B searches per day. For faster insights, they also use TopN and HLL extensions. [User Story](https://www.citusdata.com/customers/algolia)
* [Heap](https://heapanalytics.com/) uses Citus to run dynamic
funnel, segmentation, and cohort queries across billions of users
and has more than 700B events in their Citus database cluster. [Watch Video](https://www.youtube.com/watch?v=NVl9_6J1G60&list=PLixnExCn6lRpP10ZlpJwx6AuU3XIgNWpL)
* [Pex](https://pex.com/) uses Citus to ingest 80B data points per day and analyze that data in real-time. They use a 20+ node cluster on Google Cloud. [User Story](https://www.citusdata.com/customers/pex)
* [MixRank](https://mixrank.com/) uses Citus to efficiently collect
and analyze vast amounts of data to allow inside B2B sales teams
to find new customers. [User Story](https://www.citusdata.com/solutions/case-studies/mixrank-case-study)
* [Neustar](https://www.neustar.biz/) builds and maintains scalable
ad-tech infrastructure that counts billions of events per day using
Citus and HyperLogLog.
* [Agari](https://www.agari.com/) uses Citus to secure more than
85 percent of U.S. consumer emails on two 6-8 TB clusters. [User
Story](https://www.citusdata.com/solutions/case-studies/agari-case-study)
* [Heap](https://heapanalytics.com/) uses Citus to run dynamic
funnel, segmentation, and cohort queries across billions of users
and tens of billions of events. [Watch Video](https://www.youtube.com/watch?v=NVl9_6J1G60&list=PLixnExCn6lRpP10ZlpJwx6AuU3XIgNWpL)
* [Pex](https://pex.com/) uses Citus to ingest 30B data points per day and analyze that data in real-time. They use a 20+ node cluster on Google Cloud. [User Story](https://www.citusdata.com/customers/pex)
* [Algolia](https://www.algolia.com/) uses Citus to provide real-time analytics for over 1B searches per day. For faster insights, they also use TopN and HLL extensions. [User Story](https://www.citusdata.com/customers/algolia)
* [Copper (formerly ProsperWorks)](https://copper.com/) powers a cloud CRM service with Citus. [User Story](https://www.citusdata.com/customers/copper)
@ -147,7 +146,7 @@ You can read more user stories about how they employ Citus to scale Postgres for
___
Copyright © 2012–2017 Citus Data, Inc.
Copyright © 2012–2019 Citus Data, Inc.
[faq]: https://www.citusdata.com/frequently-asked-questions
[tutorial]: https://docs.citusdata.com/en/stable/tutorials/multi-tenant-tutorial.html