Citus 11 is out! Now 100% open source. Read all about it in Marco’s release blog. 💥
Citus distributes and parallelizes Postgres workloads—and is often used as a system of record for SaaS apps, and as a system of engagement for analytics dashboards and time series data. Sometimes, teams use Citus as their relational database for mixed transactional and analytics workloads, to avoid managing multiple different types of databases. Other teams use Citus for high throughput transactional apps. What most Citus users have in common: performance really matters to them—at scale.
SaaS teams choose Citus to shard Postgres, so they don’t have to re-architect their app to shard at the application layer. Developers building analytics dashboards tell us that distributed Postgres is a game changer. Citus is a fit for many types of data-intensive apps, including geospatial analytics (PostGIS), behavioral analytics—plus video, web, and operational analytics. And the new columnar storage feature in Citus 10 is a powerful addition to the ways Citus can help you scale your applications.
Watch Marco’s latest talk, inspired by SIGMOD
Learn how Citus works in this talk about Citus table types, the PostgreSQL extension APIs, the Citus query planner, and performance benchmarks comparing a
Customers ask how many weeks they have to wait for results, but with Citus it takes us roughly three minutes. The difference is so striking compared to our competitors, customers usually struggle to understand how we can do it.Rasty Turek
Founder and CEO, Pex
Want to hear from our customers?