Citus Data Blog
Citus gives you all the greatness of Postgres plus the superpowers of distributed tables. By distributing your data and queries, your application gets high performance—at any scale. The Citus database is available as open source and as a managed service on Azure.
- Posts
- 330 from 10 Jan 2013 to 17 Feb 2026
- Posting
- now and then (1 in the last year)
- Kind
- company blog
- Feed
- https://www.citusdata.com/feed.xml
2026 1
2025 4
2024 11
- Say hello to the Talking Postgres podcast
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- CFP is open until April 7th
- now in its 3rd year
- Podcast on transition from dev to PostgreSQL specialist with Derk van Veen By Ari Padilla
- What’s new in the Postgres 16 query planner & optimizer By David Rowley
- Keep reading
- Keep reading
2023 29
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- The Story Behind the Activity Book for Postgres By Teresa Giacomini
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Understanding partitioning and sharding in Postgres & Citus By Claire Giordano
- Keep reading
- Keep reading
- schema-based sharding
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Patroni 3.0 & Citus: Scalable, Highly Available Postgres By Alexander Kukushkin
- Keep reading
- CFP is open
- Keep reading
- Keep reading
2022 16
2021 20
2020 23
2019 18
2018 60
- Keep reading
- Keep reading
- Keep reading
- types of extensions
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- follower database
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- common table expressions
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- SaaS database to thousands of customers
- functions earlier
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- window functions
- Keep reading
- Keep reading
- recursive CTEs
- Keep reading
- Keep reading
- Keep reading
- added support
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- constraints
- Keep reading
- generate_series
- Keep reading
- Keep reading
- relocating shards on a Citus database cluster
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- distributed team
- rebalancing your data
- expanded on our SQL support
- pg_partman
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- sharded
- Keep reading
2017 48
- high as 100x
- Count distinct
- Keep reading
- Keep reading
- "warp" migration
- Citus 7.1
- transactions
- SaaS application
- Citus Cloud 2
- Keep reading
- Keep reading
- extension to Postgres
- Keep reading
- index types
- Keep reading
- single node Postgres
- Keep reading
- migrating an existing application
- parallelized
- distributed transactions
- Keep reading
- which sharding data model
- Keep reading
- principles of sharding
- Fork your distributed postgres with citus cloud
- Keep reading
- Keep reading
- Keep reading
- HyperLogLog
- Keep reading
- single-tenant queries
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- shard rebalancer
- HyperLogLog
- how HLL solves the distributed distinct count problem
- Keep reading
- intensive data
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- parallel DDL
- Keep reading
2016 38
- SQL queries and joins
- Keep reading
- schema based sharding
- Keep reading
- leverage Citus
- Keep reading
- Citus 6.0
- Keep reading
- Keep reading
- Keep reading
- Faster PostgreSQL Counting
- Keep reading
- SaaS application
- Keep reading
- Keep reading
- Keep reading
- run periodic jobs in Postgres
- Keep reading
- Keep reading
- advance Citus
- Keep reading
- sharding
- Keep reading
- Choosing nosql hstore json jsonb
- Keep reading
- Keep reading
- high performance data loading
- Keep reading
- Keep reading
- Keep reading
- 18 months ago
- Keep reading
- 5 ways to paginate in Postgres
- we open sourced Citus as a Postgres extension
- Keep reading
- Keep reading
- Keep reading
- Keep reading
2015 46
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Webinar on Parallelizing Analytical Queries in PostgreSQL on June 10th
- PGConf Silicon Valley PostgreSQL Conference Call for Speaker Proposals Closes June 15th
- Keep reading
- Webinar on PostgreSQL Real-Time Analytics Terabyte-Scale Data Ingestion on May 20th
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading
- Keep reading