RocksDB vs TimescaleDB: What are the differences?
Developers describe RocksDB as "Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team". RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation. 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.
RocksDB and TimescaleDB belong to "Databases" category of the tech stack.
Some of the features offered by RocksDB are:
- Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM
- Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory
- Scales linearly with number of CPUs so that it works well on ARM processors
On the other hand, TimescaleDB provides the following key features:
- Packaged as a PostgreSQL extension
- Full ANSI SQL
- JOINs (e.g., across PostgreSQL tables)
RocksDB and TimescaleDB are both open source tools. It seems that RocksDB with 14.3K GitHub stars and 3.12K forks on GitHub has more adoption than TimescaleDB with 7.28K GitHub stars and 385 GitHub forks.
WakaTime, ScreenAware, and AgFlow are some of the popular companies that use TimescaleDB, whereas RocksDB is used by Facebook, LinkedIn, and Skry, Inc.. TimescaleDB has a broader approval, being mentioned in 15 company stacks & 3 developers stacks; compared to RocksDB, which is listed in 6 company stacks and 7 developer stacks.
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