RethinkDB vs TimescaleDB: What are the differences?
RethinkDB: JSON. Scales to multiple machines with very little effort. Open source. RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn; TimescaleDB: 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.
RethinkDB and TimescaleDB belong to "Databases" category of the tech stack.
Some of the features offered by RethinkDB are:
- JSON data model and immediate consistency.
- Distributed joins, subqueries, aggregation, atomic updates.
- Secondary, compound, and arbitrarily computed indexes.
On the other hand, TimescaleDB provides the following key features:
- Packaged as a PostgreSQL extension
- Full ANSI SQL
- JOINs (e.g., across PostgreSQL tables)
RethinkDB and TimescaleDB are both open source tools. RethinkDB with 22.4K GitHub stars and 1.74K forks on GitHub appears to be more popular than TimescaleDB with 7.28K GitHub stars and 385 GitHub forks.
According to the StackShare community, RethinkDB has a broader approval, being mentioned in 37 company stacks & 25 developers stacks; compared to TimescaleDB, which is listed in 15 company stacks and 3 developer stacks.
What is RethinkDB?
What is TimescaleDB?
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High-speed update-aware storage used in our region server infrastructure; provides a good middle layer for storage of rapidly modified information.
Main database, using it in multiple datacenters in an active-active configuration.