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rocksdb/USERS.md
Igor Canadi d9b3338ebe Add Yahoo's blog post about Sherpa to USERS.md 
Summary: As title

Test Plan: ran unit tests

Reviewers: sdong, yhchiang, rven

Reviewed By: rven

Subscribers: dhruba, leveldb

Differential Revision: https://reviews.facebook.net/D39765
2015-06-09 12:55:58 -07:00

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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.

Facebook

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:

  1. MyRocks -- https://github.com/MySQLOnRocksDB/mysql-5.6
  2. MongoRocks -- https://github.com/mongodb-partners/mongo-rocks

LinkedIn

Two different use cases at Linkedin are using RocksDB as a storage engine:

  1. LinkedIn's follow feed for storing user's activities
  2. 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

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

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

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

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 Me

Tango is using RocksDB as a graph storage to store all users' connection data and other social activity data.

Turn

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