PumpkinDB vs RocksDB: What are the differences?

Developers describe PumpkinDB as "An event sourcing database engine *". PumpkinDB is a compact event sourcing database engine, featuring fast on-disk storage, flexible approach to event structure and encoding, sophisticated event indexing and querying. 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.

PumpkinDB and RocksDB belong to "Databases" category of the tech stack.

Some of the features offered by PumpkinDB are:

• Fast file-based storage
• Library of building primitives: encoding, indexing, subscriptions, etc.
• Query language that compiles to PumpkinScript

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

PumpkinDB and RocksDB are both open source tools. RocksDB with 14.3K GitHub stars and 3.12K forks on GitHub appears to be more popular than PumpkinDB with 1.11K GitHub stars and 48 GitHub forks.