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.
At Facebook, we use RocksDB as storage engines in multiple data management services and a backend for many different stateful services, including:
- MyRocks -- https://github.com/MySQLOnRocksDB/mysql-5.6
- MongoRocks -- https://github.com/mongodb-partners/mongo-rocks
- ZippyDB -- Facebook's distributed key-value store with Paxos-style replication, built on top of RocksDB.[1] https://www.youtube.com/watch?v=DfiN7pG0D0khtt
- Laser -- Laser is a high query throughput, low (millisecond) latency, key-value storage service built on top of RocksDB.[1]
- Dragon -- a distributed graph query engine. https://code.facebook.com/posts/1737605303120405/dragon-a-distributed-graph-query-engine/
- Stylus -- a low-level stream processing framework writtenin C++.[1]
- LogDevice -- a distributed data store for logs [2]
[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/
The Bing search engine from Microsoft uses RocksDB as the storage engine for its web data platform: https://blogs.bing.com/Engineering-Blog/october-2021/RocksDB-in-Microsoft-Bing
Two different use cases at Linkedin are using RocksDB as a storage engine:
- 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
- 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 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
PaxosStore is a distributed database supporting WeChat. It uses RocksDB as its storage engine.
Apache Doris is a MPP analytical database engine released by Baidu. It uses RocksDB to manage its tablet's metadata.
CockroachDB is an open-source geo-replicated transactional database. They are using RocksDB as their storage engine. Check out their github: https://github.com/cockroachdb/cockroach
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 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 is using RocksDB as a graph storage to store all users' connection data and other social activity data.
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
Check out their blog post: http://blog.cloudera.com/blog/2015/08/inside-santanders-near-real-time-data-ingest-architecture/
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
Alluxio uses RocksDB to serve and scale file system metadata to beyond 1 Billion files. The detailed design and implementation is described in this engineering blog: https://www.alluxio.io/blog/scalable-metadata-service-in-alluxio-storing-billions-of-files/
Pinterest's Object Retrieval System uses RocksDB for storage: https://www.youtube.com/watch?v=MtFEVEs_2Vo
Smyte uses RocksDB as the storage layer for their core key-value storage, high-performance counters and time-windowed HyperLogLog services.
Rakuten Marketing uses RocksDB as the disk cache layer for the real-time bidding service in their Performance DSP.
VWO's Smart Code checker and URL helper uses RocksDB to store all the URLs where VWO's Smart Code is installed.
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 AWS EC2 instances with local SSD drives to cache application data.
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.
Spark Structured Streaming uses RocksDB as the local state store.
Apache Flink uses RocksDB to store state locally on a machine.
Dgraph is an open-source, scalable, distributed, low latency, high throughput Graph database .They use RocksDB to store state locally on a machine.
Uber uses RocksDB as a durable and scalable task queue.
360 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 used in many companies.
LzLabs is using RocksDB as a storage engine in their multi-database distributed framework to store application configuration and user data.
ProfaneDB is a database for Protocol Buffers, and uses RocksDB for storage. It is accessible via gRPC, and the schema is defined using directly .proto files.
IOTA Foundation is using RocksDB in the IOTA Reference Implementation (IRI) to store the local state of the Tangle. The Tangle is the first open-source distributed ledger powering the future of the Internet of Things.
Avrio Project is using RocksDB in Avrio to store blocks, account balances and data and other blockchain-releated data. Avrio is a multiblockchain decentralized cryptocurrency empowering monetary transactions.
Crux is a document database that uses RocksDB for local EAV index storage to enable point-in-time bitemporal Datalog queries. The "unbundled" architecture uses Kafka to provide horizontal scalability.
Nebula Graph is a distributed, scalable, lightning-fast, open source graph database capable of hosting super large scale graphs with dozens of billions of vertices (nodes) and trillions of edges, with milliseconds of latency.
YugabyteDB is an open source, high performance, distributed SQL database that uses RocksDB as its storage layer. For more information, please see https://github.com/yugabyte/yugabyte-db/.
ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values, for building high performance applications using a convenient SQL-like query language or JavaScript extensions. It uses RocksDB as its storage engine.
Milvus is an open source vector database for unstructured data. It uses RocksDB not only as one of the supported kv storage engines, but also as a message queue.
Kafka is an open-source distributed event streaming platform, it uses RocksDB to store state in Kafka Streams: https://www.confluent.io/blog/how-to-tune-rocksdb-kafka-streams-state-stores-performance/.
Solana is a fast, secure, scalable, and decentralized blockchain. It uses RocksDB as the underlying storage for its ledger store.
More databases using RocksDB can be found at dbdb.io.