mirror of https://github.com/facebook/rocksdb.git
83 lines
4.9 KiB
Markdown
83 lines
4.9 KiB
Markdown
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.
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## Facebook
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At Facebook, we use RocksDB as storage engines in multiple data management services and a backend for many different stateful services, including:
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1. MyRocks -- https://github.com/MySQLOnRocksDB/mysql-5.6
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2. MongoRocks -- https://github.com/mongodb-partners/mongo-rocks
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3. ZippyDB -- Facebook's distributed key-value store with Paxos-style replication, built on top of RocksDB.[*] https://www.youtube.com/watch?v=DfiN7pG0D0khtt
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4. Laser -- Laser is a high query throughput, low (millisecond) latency, key-value storage service built on top of RocksDB.[*]
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4. Dragon -- a distributed graph query engine. https://code.facebook.com/posts/1737605303120405/dragon-a-distributed-graph-query-engine/
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5. Stylus -- a low-level stream processing framework writtenin C++.[*]
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[*] https://research.facebook.com/publications/realtime-data-processing-at-facebook/
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## LinkedIn
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Two different use cases at Linkedin are using RocksDB as a storage engine:
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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
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2. Apache Samza, open source framework for stream processing
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Learn more about those use cases in a Tech Talk by Ankit Gupta and Naveen Somasundaram: http://www.youtube.com/watch?v=plqVp_OnSzg
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## Yahoo
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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
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## CockroachDB
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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
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## DNANexus
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DNANexus is using RocksDB to speed up processing of genomics data.
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You can learn more from this great blog post by Mike Lin: http://devblog.dnanexus.com/faster-bam-sorting-with-samtools-and-rocksdb/
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## Iron.io
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Iron.io is using RocksDB as a storage engine for their distributed queueing system.
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Learn more from Tech Talk by Reed Allman: http://www.youtube.com/watch?v=HTjt6oj-RL4
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## Tango Me
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Tango is using RocksDB as a graph storage to store all users' connection data and other social activity data.
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## Turn
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Turn is using RocksDB as a storage layer for their key/value store, serving at peak 2.4MM QPS out of different datacenters.
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Check out our RocksDB Protobuf merge operator at: https://github.com/vladb38/rocksdb_protobuf
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## Santanader UK/Cloudera Profession Services
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Check out their blog post: http://blog.cloudera.com/blog/2015/08/inside-santanders-near-real-time-data-ingest-architecture/
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## Airbnb
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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
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## Pinterest
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Pinterest's Object Retrieval System uses RocksDB for storage: https://www.youtube.com/watch?v=MtFEVEs_2Vo
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## Smyte
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[Smyte](https://www.smyte.com/) uses RocksDB as the storage layer for their core key-value storage, high-performance counters and time-windowed HyperLogLog services.
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## Rakuten Marketing
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[Rakuten Marketing](https://marketing.rakuten.com/) uses RocksDB as the disk cache layer for the real-time bidding service in their Performance DSP.
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## VWO, Wingify
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[VWO's](https://vwo.com/) Smart Code checker and URL helper uses RocksDB to store all the URLs where VWO's Smart Code is installed.
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## quasardb
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[quasardb](https://www.quasardb.net) is a high-performance, distributed, transactional key-value database that integrates well with in-memory analytics engines such as Apache Spark.
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quasardb uses a heavily tuned RocksDB as its persistence layer.
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## Netflix
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[Netflix](http://techblog.netflix.com/2016/05/application-data-caching-using-ssds.html) Netflix uses RocksDB on AWS EC2 instances with local SSD drives to cache application data.
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## TiKV
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[TiKV](https://github.com/pingcap/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.
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## Apache Flink
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[Apache Flink](https://flink.apache.org/news/2016/03/08/release-1.0.0.html) uses RocksDB to store state locally on a machine.
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## Dgraph
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[Dgraph](https://github.com/dgraph-io/dgraph) is an open-source, scalable, distributed, low latency, high throughput Graph database .They use RocksDB to store state locally on a machine.
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## Uber
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[Uber](http://eng.uber.com/cherami/) uses RocksDB as a durable and and scalable task queue.
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## 360 Pika
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[360](http://www.360.cn/) [Pika](https://github.com/Qihoo360/pika) is a nosql compatible with redis. With the huge amount of data stored, redis may suffer for a capacity bottleneck, and pika was born for solving it. It has widely been widely used in many company
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