rocksdb/USERS.md

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 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
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.[*]
5. Dragon -- a distributed graph query engine. https://code.facebook.com/posts/1737605303120405/dragon-a-distributed-graph-query-engine/
6. Stylus -- a low-level stream processing framework writtenin C++.[*]

[*] https://research.facebook.com/publications/realtime-data-processing-at-facebook/

LinkedIn

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

1. 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
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

Santanader UK/Cloudera Profession Services

Check out their blog post: http://blog.cloudera.com/blog/2015/08/inside-santanders-near-real-time-data-ingest-architecture/

Airbnb

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

Pinterest's Object Retrieval System uses RocksDB for storage: https://www.youtube.com/watch?v=MtFEVEs_2Vo

Smyte

Smyte uses RocksDB as the storage layer for their core key-value storage, high-performance counters and time-windowed HyperLogLog services.

Rakuten Marketing

Rakuten Marketing uses RocksDB as the disk cache layer for the real-time bidding service in their Performance DSP.

VWO, Wingify

VWO's Smart Code checker and URL helper uses RocksDB to store all the URLs where VWO's Smart Code is installed.

quasardb

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.

Netflix

Netflix uses RocksDB on spinning disks to cache application data.

TiKV

TiKV is a GEO-replicated, high-performance, distributed, transactional key-value database. TiKV is powered by Rust and Raft. TiKV uses RocksDB as its persistence layer.

Apache Flink

Apache Flink uses RocksDB to store state locally on a machine.

Dgraph

Dgraph is an open-source, scalable, distributed, low latency, high throughput Graph database .They use RocksDB to store state locally on a machine.

Uber

Uber uses RocksDB as a durable and and scalable task queue.