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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-21 11:54:28 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-21 11:54:28 +0000 |
commit | e6918187568dbd01842d8d1d2c808ce16a894239 (patch) | |
tree | 64f88b554b444a49f656b6c656111a145cbbaa28 /src/rocksdb/USERS.md | |
parent | Initial commit. (diff) | |
download | ceph-e6918187568dbd01842d8d1d2c808ce16a894239.tar.xz ceph-e6918187568dbd01842d8d1d2c808ce16a894239.zip |
Adding upstream version 18.2.2.upstream/18.2.2
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to '')
-rw-r--r-- | src/rocksdb/USERS.md | 128 |
1 files changed, 128 insertions, 0 deletions
diff --git a/src/rocksdb/USERS.md b/src/rocksdb/USERS.md new file mode 100644 index 000000000..be42b9b0c --- /dev/null +++ b/src/rocksdb/USERS.md @@ -0,0 +1,128 @@ +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.[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] +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++.[1] +6. 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/ + +## 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 + +## Baidu +[Apache Doris](http://doris.apache.org/master/en/) is a MPP analytical database engine released by Baidu. It [uses RocksDB](http://doris.apache.org/master/en/administrator-guide/operation/tablet-meta-tool.html) to manage its tablet's metadata. + +## 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 + +## Santander 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](https://www.alluxio.io) 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](https://www.smyte.com/) uses RocksDB as the storage layer for their core key-value storage, high-performance counters and time-windowed HyperLogLog services. + +## Rakuten Marketing +[Rakuten Marketing](https://marketing.rakuten.com/) uses RocksDB as the disk cache layer for the real-time bidding service in their Performance DSP. + +## VWO, Wingify +[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. + +## quasardb +[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. +quasardb uses a heavily tuned RocksDB as its persistence layer. + +## Netflix +[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. + +## TiKV +[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. + +## Apache Flink +[Apache Flink](https://flink.apache.org/news/2016/03/08/release-1.0.0.html) uses RocksDB to store state locally on a machine. + +## Dgraph +[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. + +## Uber +[Uber](http://eng.uber.com/cherami/) uses RocksDB as a durable and scalable task queue. + +## 360 Pika +[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 used in many companies. + +## LzLabs +LzLabs is using RocksDB as a storage engine in their multi-database distributed framework to store application configuration and user data. + +## ProfaneDB +[ProfaneDB](https://profanedb.gitlab.io/) 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](https://www.iota.org/) is using RocksDB in the [IOTA Reference Implementation (IRI)](https://github.com/iotaledger/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](http://avrio-project.github.io/avrio.network/) is using RocksDB in [Avrio ](https://github.com/avrio-project/avrio) to store blocks, account balances and data and other blockchain-releated data. Avrio is a multiblockchain decentralized cryptocurrency empowering monetary transactions. + +## Crux +[Crux](https://github.com/juxt/crux) is a document database that uses RocksDB for local [EAV](https://en.wikipedia.org/wiki/Entity%E2%80%93attribute%E2%80%93value_model) index storage to enable point-in-time bitemporal Datalog queries. The "unbundled" architecture uses Kafka to provide horizontal scalability. + +## Nebula Graph +[Nebula Graph](https://github.com/vesoft-inc/nebula) 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 +[YugabyteDB](https://www.yugabyte.com/) 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 +[ArangoDB](https://www.arangodb.com/) 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 +[Milvus](https://milvus.io/) 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 +[Kafka](https://kafka.apache.org/) 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 Labs +[Solana](https://github.com/solana-labs/solana) is a fast, secure, scalable, and decentralized blockchain. It uses RocksDB as the underlying storage for its ledger store. + +## Others +More databases using RocksDB can be found at [dbdb.io](https://dbdb.io/browse?embeds=rocksdb). |