Hyperscale (Citus) is now available on Azure Database for PostgreSQL. Want to learn more?
The Citus extension to Postgres transforms Postgres into a distributed database, so your app can scale out and your queries are fast. Also available as open source & in the cloud, built into Azure Database for PostgreSQL. Citus Enterprise is enterprise software you can run anywhere, and comes with 24x7 support.
We get that you trust Postgres. So we built Citus as a Postgres extension to stay current with the latest releases. And we built Citus to scale out. With Citus, you get to leverage all your Postgres expertise, use your familiar SQL toolset, and scale out your database.
You shouldn’t have to re-architect your app to scale out your database. You shouldn’t have to stitch together multiple different database technologies. And you shouldn’t have to give up Postgres, either. Our worry-free Postgres is built to scale out. So you can focus on your app and not your database.
By parallelizing SQL queries across multiple nodes, Citus delivers unparalleled performance. Even with real time data ingest and sub-second queries across billions of rows. And adding nodes to increase parallelism is as easy as dragging a slider.
Because we’ve implemented Citus as an extension to Postgres, you get trusted and familiar Postgres with Citus, complete with all the data types, operators and functions, extensions, and indexes in Postgres. Plus the reliability of Postgres and all of the ongoing innovation in the Postgres community. Also, JSONB.
The Postgres ecosystem of tools, extensions, and libraries is vast. One of the reasons Citus is popular is because Citus is an extension to Postgres: therefore you get to leverage your Postgres expertise and use all of your familiar Postgres tools.
Citus is an extension to Postgres, which means we offer relational database features like ACID transactions, joins, foreign key constraints, and SQL.
The streaming replication feature in Postgres can be used to setup High Availability secondary nodes and failover capabilities for Citus.
Because Citus is an extension to Postgres and not a fork, Citus can easily stay current with the latest releases of Postgres, allowing you to benefit from all of the latest innovations in Postgres.
Citus shards your Postgres database across multiple nodes to give your application more memory, compute, and disk storage. Which gives you massive parallelism, high performance, and a way to keep scaling as your application grows.
When adding nodes to a Citus cluster, the zero-downtime shard rebalancer enables you to redistribute shards across old and new worker nodes to better balance the data distribution and the performance of your Citus database.
Multi-tenant SaaS applications sometimes need to isolate the shards for a large customer to ensure that the large customer gets the resources they need and doesn’t negatively impact performance for everyone else. Hence: tenant isolation.
Citus takes an incoming SQL query, plans the query for parallel execution, and pushes down the parallel computations to the nodes in the database cluster. As you add new nodes, Citus automatically distributes queries to leverage all the memory and cpu cores available.
Multi-tenant and analytic workloads introduce different trade-offs in a distributed database. Citus comes built-in with three dynamic executors, each optimized for a different workload, and Citus intelligently determines which executor to use, based on the query.
Citus provides full SQL transactions across shards and nodes, making it easier than ever to migrate applications onto Citus.
Because Citus can parallelize query fragments across multiple nodes cluster, you can run powerful cross-shard queries across all of your customer data quickly and easily.
As a distributed database that can scale out Postgres to hundreds of nodes, Citus gives you unparalleled parallelism and performance across billions of records. By allowing you to perform scale-out analytics across your entire data set, you can provide new value to your customers where not possible before.
To analyze and retain your Postgres and Citus logs over time, logs can be transmitted to log management apps such as Splunk, Loggly, Papertrail, Sumo Logic, and Logentries.
Citus utilities can be used to query Citus table and relation sizes. The popular pg_stat_statements gives visibility into statistics about queries that are running on the database. And many customers integrate their favorite monitoring tools with Postgres and Citus.
The Postgres EXPLAIN feature creates a query plan for each query it receives and is invaluable in optimizing performance. In Citus, we’ve created a distributed EXPLAIN feature that performs the same function in the context of a distributed database.
The citus_stat_statements feature in Citus gives insights into query activity and per-tenant use of database resources, allowing you to determine cost per tenant, identify load hotspots, & optimize/tune performance as needed.
Granular access controls in Citus enable you to limit capabilities to certain types of users to control user access and reduce risk.
Includes 24x7 on-call support, as well as the professional services to get you up and running. We help model your data and tune your systems so they’re ready for production workloads. Citus Enterprise also includes an SLA to ensure you have the support you need.
PostgreSQL and Citus support 40+ data types, including semi-structured data types and JSONB. Many developers celebrate the JSONB support in Postgres database as a way to store blobs in the database in a way that enables document store workflows.
HLL is an algorithm for the count-distinct problem and can approximate the number of distinct elements in a set. With sketch algorithms for probabilistic distincts such as HLL, you can provide deeper analytics in real-time across petabytes of data.
PostGIS is an extension to Postgres that adds support for geographical objects to Postgres, allowing location queries to be run in SQL. Open source, freely available, and works with Citus.
TopN is a new, open source PostgreSQL extension. Created by Citus Data, TopN can be used to calculate the most frequently occurring values in a column, and is part of the class of probabilistic distinct algorithms called sketch algorithms.
Full text search in Postgres enables you to search documents, parts of documents, and semi-structured data using regular expressions and text search from within your Citus database.
Citus enables interactive funnel, cohort, and session analytics on real-time event data at scale. It can serve instant responses to concurrent queries with on-the-fly segmentation and funnel step definitions.
We’re on a mission to make it so you never have to worry about scaling your database again. And by database, we mean Postgres. Download the Citus extension to Postgres and get started scaling out today.
Citus Enterprise software is the same as our open source offering, with the addition of a few enterprise features and 24x7 support from Citus Data. And you can run Citus Enterprise anywhere,
Convenience trumps all, and many customers say they would rather focus on their application, not their database. So we make Citus available in the cloud, built into Azure Database for PostgreSQL, a
I like Citus’ combination of features, open source flexibility, and commercial-grade scalability. Best of all, because Citus is built on the latest version of PostgreSQL, we have been able to continue using the same core SQL toolset, leverage our existing PostgreSQL expertise, and take advantage of the continuing innovation within the PostgreSQL community.Vidur Apparao, CTO at Agari