This document lists users of RocksDB and their use cases. If you are using RocksDB, please open a pull request and add yourself to the list.
At Facebook, we use RocksDB as a backend for many different stateful services. We're also experimenting with running RocksDB as a storage engine for two databases:
- MyRocks -- https://github.com/MySQLOnRocksDB/mysql-5.6
- MongoRocks -- https://github.com/mongodb-partners/mongo-rocks
Two different use cases at Linkedin are using RocksDB as a storage engine:
- LinkedIn's follow feed for storing user's activities. Check out the blog post: https://engineering.linkedin.com/blog/2016/03/followfeed--linkedin-s-feed-made-faster-and-smarter
- Apache Samza, open source framework for stream processing
Learn more about those use cases in a Tech Talk by Ankit Gupta and Naveen Somasundaram: http://www.youtube.com/watch?v=plqVp_OnSzg
Yahoo is using RocksDB as a storage engine for their biggest distributed data store Sherpa. Learn more about it here: http://yahooeng.tumblr.com/post/120730204806/sherpa-scales-new-heights
CockroachDB is an open-source geo-replicated transactional database (still in development). They are using RocksDB as their storage engine. Check out their github: https://github.com/cockroachdb/cockroach
DNANexus is using RocksDB to speed up processing of genomics data. You can learn more from this great blog post by Mike Lin: http://devblog.dnanexus.com/faster-bam-sorting-with-samtools-and-rocksdb/
Iron.io is using RocksDB as a storage engine for their distributed queueing system. Learn more from Tech Talk by Reed Allman: http://www.youtube.com/watch?v=HTjt6oj-RL4
Tango is using RocksDB as a graph storage to store all users' connection data and other social activity data.
Turn is using RocksDB as a storage layer for their key/value store, serving at peak 2.4MM QPS out of different datacenters. Check out our RocksDB Protobuf merge operator at: https://github.com/vladb38/rocksdb_protobuf
Check out their blog post: http://blog.cloudera.com/blog/2015/08/inside-santanders-near-real-time-data-ingest-architecture/
Airbnb is using RocksDB as a storage engine for their personalized search service. You can learn more about it here: https://www.youtube.com/watch?v=ASQ6XMtogMs
Pinterest's Object Retrieval System uses RocksDB for storage: https://www.youtube.com/watch?v=MtFEVEs_2Vo
Smyte uses RocksDB as the storage layer for their core key-value storage, high-performance counters and time-windowed HyperLogLog services.
Rakuten Marketing uses RocksDB as the disk cache layer for the real-time bidding service in their Performance DSP.
VWO's Smart Code checker and URL helper uses RocksDB to store all the URLs where VWO's Smart Code is installed.
quasardb is a high-performance, distributed, transactional key-value database that integrates well with in-memory analytics engines such as Apache Spark. quasardb uses a heavily tuned RocksDB as its persistence layer.