CrateIO vs RocksDB: What are the differences?
Developers describe CrateIO as "The Distributed Database for Docker". Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets. On the other hand, RocksDB is detailed 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.
CrateIO and RocksDB can be primarily classified as "Databases" tools.
Some of the features offered by CrateIO are:
- Familiar SQL syntax
- Semi-structured data
- High availability, resiliency, and scalability in a distributed design
On the other hand, RocksDB provides the following key features:
- 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
"Simplicity" is the primary reason why developers consider CrateIO over the competitors, whereas "Very fast" was stated as the key factor in picking RocksDB.
CrateIO and RocksDB are both open source tools. It seems that RocksDB with 14.3K GitHub stars and 3.12K forks on GitHub has more adoption than CrateIO with 2.49K GitHub stars and 333 GitHub forks.