提交 47489113 编写于 作者: S Siying Dong 提交者: Facebook Github Bot

Add LogDevice to USERS.md

Summary: Closes https://github.com/facebook/rocksdb/pull/2927

Differential Revision: D5906613

Pulled By: siying

fbshipit-source-id: 607401e05b27508c816c700864fe81514606e4ef
上级 1d6700f9
...@@ -5,12 +5,14 @@ At Facebook, we use RocksDB as storage engines in multiple data management servi ...@@ -5,12 +5,14 @@ At Facebook, we use RocksDB as storage engines in multiple data management servi
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 3. ZippyDB -- Facebook's distributed key-value store with Paxos-style replication, built on top of RocksDB.[1] 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. Laser -- Laser is a high query throughput, low (millisecond) latency, key-value storage service built on top of RocksDB.[1]
4. Dragon -- a distributed graph query engine. https://code.facebook.com/posts/1737605303120405/dragon-a-distributed-graph-query-engine/ 4. Dragon -- 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++.[*] 5. Stylus -- a low-level stream processing framework writtenin C++.[1]
6. LogDevice -- a distributed data store for logs [2]
[*] https://research.facebook.com/publications/realtime-data-processing-at-facebook/ [1] https://research.facebook.com/publications/realtime-data-processing-at-facebook/
[2] https://code.facebook.com/posts/357056558062811/logdevice-a-distributed-data-store-for-logs/
## 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:
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