Cassandra vs TimescaleDB: What are the differences?
What is Cassandra? A partitioned row store. Rows are organized into tables with a required primary key. Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
What is 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.
Cassandra and TimescaleDB can be primarily classified as "Databases" tools.
Cassandra and TimescaleDB are both open source tools. TimescaleDB with 7.21K GitHub stars and 382 forks on GitHub appears to be more popular than Cassandra with 5.23K GitHub stars and 2.33K GitHub forks.
Uber Technologies, Spotify, and Instagram are some of the popular companies that use Cassandra, whereas TimescaleDB is used by ScreenAware, WakaTime, and AgFlow. Cassandra has a broader approval, being mentioned in 337 company stacks & 231 developers stacks; compared to TimescaleDB, which is listed in 15 company stacks and 3 developer stacks.
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What is Cassandra?
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