Presto vs RocksDB: What are the differences?
Developers describe Presto as "Distributed SQL Query Engine for Big Data". Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. 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.
Presto and RocksDB are primarily classified as "Big Data" and "Databases" tools respectively.
"Works directly on files in s3 (no ETL)" is the primary reason why developers consider Presto over the competitors, whereas "Very fast" was stated as the key factor in picking RocksDB.
Presto 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 Presto with 9.29K GitHub stars and 3.15K GitHub forks.
According to the StackShare community, Presto has a broader approval, being mentioned in 19 company stacks & 11 developers stacks; compared to RocksDB, which is listed in 6 company stacks and 7 developer stacks.