RocksDB Users and Use Cases

RocksDB Users and Their Use Cases

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.[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.[1]
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++.[1]
7. 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/

8. Libra -- Blockchain https://libra.org

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. 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

Alluxio

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

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 Netflix uses RocksDB on AWS EC2 instances with local SSD drives 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 scalable task queue.

360 Pika

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 widely used in many company

LzLabs

LzLabs is using RocksDB as a storage engine in their multi-database distributed framework to store application configuration and user data.

ProfaneDB

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

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

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.

XTDB

XTDB (Formerly known as 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

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.

Apache Hadoop Ozone

Ozone is a scalable, redundant, and distributed object store for Hadoop. Apart from scaling to billions of objects of varying sizes, Ozone can function effectively in containerized environments such as Kubernetes and YARN. https://blog.cloudera.com/apache-hadoop-ozone-object-store-architecture/

Apache Doris

http://doris.apache.org/master/en/administrator-guide/operation/tablet-meta-tool.html

Apache Pegasus

Apache Pegasus is a horizontally scalable, strongly consistent and high-performance key-value store. https://github.com/apache/incubator-pegasus