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Worry-free Postgres for SaaS. Built to scale out.

What is Citus?

Citus is worry-free Postgres for SaaS. Made to scale out, Citus is an extension to Postgres that distributes queries across any number of servers. Citus is available as open source, as on-prem software, and as a fully-managed service.
Citus is a tool in the Databases category of a tech stack.
Citus is an open source tool with 3.7K GitHub stars and 277 GitHub forks. Here’s a link to Citus's open source repository on GitHub

Who uses Citus?

15 companies reportedly use Citus in their tech stacks, including Truebill, Sellbrite, and Heap.

9 developers on StackShare have stated that they use Citus.

Citus Integrations

Papertrail, Loggly, Heroku, Logentries, and Splunk Cloud are some of the popular tools that integrate with Citus. Here's a list of all 14 tools that integrate with Citus.

Why developers like Citus?

Here’s a list of reasons why companies and developers use Citus
Citus Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Citus in their tech stack.

Dan Robinson
Dan Robinson
at Heap, Inc. · | 16 upvotes · 28.7K views

PostgreSQL was an easy early decision for the founding team. The relational data model fit the types of analyses they would be doing: filtering, grouping, joining, etc., and it was the database they knew best.

Shortly after adopting PG, they discovered Citus, which is a tool that makes it easy to distribute queries. Although it was a young project and a fork of Postgres at that point, Dan says the team was very available, highly expert, and it wouldn’t be very difficult to move back to PG if they needed to.

The stuff they forked was in query execution. You could treat the worker nodes like regular PG instances. Citus also gave them a ton of flexibility to make queries fast, and again, they felt the data model was the best fit for their application.

#DataStores #Databases

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Dan Robinson
Dan Robinson
at Heap, Inc. · | 14 upvotes · 25.9K views

At Heap, we searched for an existing tool that would allow us to express the full range of analyses we needed, index the event definitions that made up the analyses, and was a mature, natively distributed system.

After coming up empty on this search, we decided to compromise on the “maturity” requirement and build our own distributed system around Citus and sharded PostgreSQL. It was at this point that we also introduced Kafka as a queueing layer between the Node.js application servers and Postgres.

If we could go back in time, we probably would have started using Kafka on day one. One of the biggest benefits in adopting Kafka has been the peace of mind that it brings. In an analytics infrastructure, it’s often possible to make data ingestion idempotent.

In Heap’s case, that means that, if anything downstream from Kafka goes down, we won’t lose any data – it’s just going to take a bit longer to get to its destination. We also learned that you want the path between data hitting your servers and your initial persistence layer (in this case, Kafka) to be as short and simple as possible, since that is the surface area where a failure means you can lose customer data. We learned that it’s a very good fit for an analytics tool, since you can handle a huge number of incoming writes with relatively low latency. Kafka also gives you the ability to “replay” the data flow: it’s like a commit log for your whole infrastructure.

#MessageQueue #Databases #FrameworksFullStack

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Citus's Features

  • Multi-Node Scalable PostgreSQL
  • Built-in Replication and High Availability
  • Real-time Reads/Writes On Multiple Nodes
  • Multi-core Parallel Processing of Queries
  • Tenant isolation

Citus Alternatives & Comparisons

What are some alternatives to Citus?
Cockroach Labs is the company building CockroachDB, an open source, survivable, strongly consistent, scale-out SQL database.
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
See all alternatives

Citus's Stats

Citus's Followers
21 developers follow Citus to keep up with related blogs and decisions.
Joseph Workman
Julien Bisconti
Amin Aliakbarian