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Update USER.md to include more services at Facebook.

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Test Plan: Not needed.

Reviewers: igor, lgalanis, andrewkr

Reviewed By: andrewkr

Subscribers: leveldb, andrewkr, dhruba

Differential Revision: https://reviews.facebook.net/D60417
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sdong 2016-06-20 18:01:03 -07:00
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USERS.md
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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. 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 ## 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: At Facebook, we use RocksDB as storage engines in multiple data management services and a backend for many different stateful services, including:
1. MyRocks -- https://github.com/MySQLOnRocksDB/mysql-5.6 1. MyRocks -- https://github.com/MySQLOnRocksDB/mysql-5.6
2. MongoRocks -- https://github.com/mongodb-partners/mongo-rocks 2. MongoRocks -- https://github.com/mongodb-partners/mongo-rocks
3. ZippyDB -- Facebook's distributed key-value store with Paxos-style replication, built on top of RocksDB.[*] https://www.youtube.com/watch?v=DfiN7pG0D0khtt
4. Laser -- Laser is a high query throughput, low (millisecond) latency, key-value storage service built on top of RocksDB.[*]
4. Dragan -- a distributed graph query engine. https://code.facebook.com/posts/1737605303120405/dragon-a-distributed-graph-query-engine/
5. Stylus -- a low-level stream processing framework writtenin C++.[*]
[*] https://research.facebook.com/publications/realtime-data-processing-at-facebook/
## LinkedIn ## LinkedIn
Two different use cases at Linkedin are using RocksDB as a storage engine: Two different use cases at Linkedin are using RocksDB as a storage engine: