RocksDB logo


Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team
+ 1

What is RocksDB?

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.
RocksDB is a tool in the Databases category of a tech stack.
RocksDB is an open source tool with 16.7K GitHub stars and 3.8K GitHub forks. Here’s a link to RocksDB's open source repository on GitHub

Who uses RocksDB?

9 companies reportedly use RocksDB in their tech stacks, including Facebook, LinkedIn, and Keevo.

47 developers on StackShare have stated that they use RocksDB.

RocksDB Integrations

Why developers like RocksDB?

Here’s a list of reasons why companies and developers use RocksDB

RocksDB's 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

RocksDB Alternatives & Comparisons

What are some alternatives to RocksDB?
Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
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.
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Domain management you'll enjoy. Domains effectively drive the entire internet, shouldn't they be easier to manage? We thought so, and thus, Badger was born! You shouldn't have to auction off your house and sacrifice your first born to transfer domains, you should be able to press a button that says "Transfer Domain" and be done with it. That is our philosophy, and we think you will appreciate it. Stop letting domain registrars badger you, and start using... Badger!
Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
See all alternatives

RocksDB's Followers
112 developers follow RocksDB to keep up with related blogs and decisions.
Anying Li
Katat Choi
Vladimir Luss
Mike Guerra
Jacky Cai
Kedar Gupte
Rob Mabry
kang zhou