Citus 10.2 is out! 10.2 brings you new columnar & time series features—and is ready to support Postgres 14. Read the new Citus 10.2 blog.
Citus 10.2 is out! 10.2 brings you new columnar & time series features—and is ready to support Postgres 14. Read the new Citus 10.2 blog.
80B
Rows of Data Updated Every Day
Pex empowers digital content creators to uncover and explain the true reach of their online video and audio. And by using Citus and Google Cloud, Pex provides ultra-fast search results and revolutionary analytics.
@synopsiToday one of our PostgreSQL tables surpassed half of trillion rows [over 54TB of data]. And still most of our queries run under 600ms. Only thanks to @citusdata and their incredible support.
Jarred Nicholls, former Chief Software Architect at IronNet CybersecurityCitus makes things possible for us that would have been nightmarish in a NoSQL world. Moving to Citus has improved the reliability and performance of our database, and the fact that it's not a black box and all the Citus metadata is open and hackable gives us a lot of flexibility.
Wesley Chow, former CTO at ChartbeatAt Chartbeat, interactivity on our dashboards is very important. Every second a user has to wait, even if that request is crunching a lot of data, represents a potential disruption to our client’s workflow. In the past, it might have taken dozens of seconds or even minutes to materialize queries. With Citus, we can deliver sub-second latency.
Kelly Cheng, CTO & Co-Founder, CopperWe were able to migrate relatively easily to run on top of Citus, even though our app had zero knowledge of sharding beforehand. And now that we’re using Citus, we don’t have to worry about how to manage our growth—not even 10X growth.
Heap provides analytics on every web & mobile app action for over 6,000 customers, using a 100 node Citus database cluster.
Thanks to Citus, we’re powering a product that is really kind of magical for a lot of customers. The speed and performance of our database make it possible for them to immediately perform truly advanced analytics on any user activities they want to explore.
Dan Robinson, CTO at Heap
With Citus in the cloud, Intrinio handles millions of API calls per month, with 120ms responses for 99% of queries.
Moving from our old RDS Postgres database to Citus Cloud was completely seamless. We had no lapse of service. Nobody even noticed. My developers said, ‘We changed database providers without downtime? What kind of black magic is this?’
Alex Solo, CTO at Intrinio
Using Citus, UserIQ delivers a full range of user engagement tools and real-time analytics to a fast-growing customer base.
By adopting Citus to distribute our database, we overcame the constraints of our single-node Postgres deployment—and we vastly reduced the time to insight for our customers. Now we can deliver real-time results instead of delaying them by up to 24 hours during peak traffic days.
Chris Morgan, Director of Software Engineering, UserIQ
With 5500+ customers using its search API, Algolia needed a lightning-fast database that was not a pain to maintain.
At Algolia, our job is to provide the best search as a service, not to maintain clusters of PostgreSQL servers. We really wanted a database that scales, a database we wouldn’t have to worry about. Citus has given us that.
Sylvain Friquet, Software Engineer, Algolia
Thanks to Citus, Freshworks is now able to give their users super-fast historical and real-time analytics on live service chats.
Usually for analytics applications, acceptable response times can be a matter of seconds… With Citus, it’s amazing. The response time on long-term queries of billions of rows is on the order of milliseconds. Citus is so darn fast!
Deepak Balasubramanyam, Technical Architect for Freshchat, Freshworks
By adopting Citus, Copper scaled out Postgres without having to re-architect their SaaS application.
By adopting Citus Cloud to scale out Postgres, we didn’t have to slow down feature development to shard at the application level. For us, Citus was the fastest and best way to protect our engineering throughput while still scaling the database.
Kelly Cheng, CTO & Co-Founder at Copper
ConvertFlow queries that used to take 15-30+ seconds have been reduced to less than 500 milliseconds with Citus.
Then we discovered Citus Cloud, which would allow us to stick with Postgres and shard our database by customer.
Jonathan Denney, CTO & Co-Founder, ConvertFlow
With Citus, PushOwl meets real-time performance requirements during a period of rapid growth.
With Citus, we don’t have to worry about our infrastructure. That’s one of the main reasons I’m on Citus. We don’t have to think about DevOps anymore. We’re automatically and seamlessly scaling in the cloud, and we’re now managing more than 8,500 ecommerce stores.
Shashank Kumar, Founder, PushOwl
MixRank has dramatically increased performance and cut costs by deploying Citus for their transactional data and analytics.
The Citus open source extension to Postgres, deployed on a 20-node Citus cluster with SSDs, has enabled us to achieve phenomenal I/O parallelism and I/O throughput. We have been able to dramatically increase performance and also to cut costs. Citus has been a game-changer for our business.
Scott Milliken, Founder & CEO at MixRank
Pex delivers ultra-fast search results & revolutionary analytics by using Citus to scale out Postgres on Google Cloud.
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
Migration to Citus was easy: PersistIQ’s multi-tenant Ruby gem integrated seamlessly with the Citus Cloud database.
We want to focus on our application and our core business, not on managing our database. Sometimes it’s just better to use technology that is battle-tested. Citus already takes care of sharding Postgres for many customers—why should we reinvent the wheel?
Cyrus Karbassiyoon, CTO, PersistIQ
Kixer switched to Citus Cloud from single-node RDS because of Citus’ massive scale out capability for both reads and writes. Also, Postgres.
Moving from RDS to Citus, we were able to linearly scale up write throughput. Our read latency remains good, with most queries averaging 1 millisecond of execution time or under.
Cody Koeninger, Chief Architect, Kixer
Citus gives Chartbeat the performance they need for an interactive analytics dashboard whose data is growing by >2.6B rows/month.
Our goal was to shard on a per-customer basis to scale out and improve performance, but we didn’t want to spend our engineering time to shard at the application layer. The Citus database makes sharding simple.
Wesley Chow, CTO at Chartbeat
