Citus vs TimescaleDB: What are the differences?
Developers describe Citus as "Worry-free Postgres for SaaS. Built to scale out". 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. On the other hand, TimescaleDB is detailed as "Scalable time-series database optimized for fast ingest and complex queries. Purpose-built as a PostgreSQL extension". TimescaleDB is the only open-source time-series database that natively supports full-SQL at scale, combining the power, reliability, and ease-of-use of a relational database with the scalability typically seen in NoSQL databases.
Citus and TimescaleDB belong to "Databases" category of the tech stack.
Some of the features offered by Citus are:
- Multi-Node Scalable PostgreSQL
- Built-in Replication and High Availability
- Real-time Reads/Writes On Multiple Nodes
On the other hand, TimescaleDB provides the following key features:
- Packaged as a PostgreSQL extension
- Full ANSI SQL
- JOINs (e.g., across PostgreSQL tables)
Citus and TimescaleDB are both open source tools. It seems that TimescaleDB with 7.28K GitHub stars and 385 forks on GitHub has more adoption than Citus with 3.64K GitHub stars and 273 GitHub forks.
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