Add Venice as a RocksDB user (#13179)

Summary:
[Venice](https://venicedb.org/) is a derived data platform using RocksDB as its storage engine. It is LinkedIn's ML feature store, powering thousands of recommender use cases, including the Feed, Video recommendations, and People You May Know.

Pull Request resolved: https://github.com/facebook/rocksdb/pull/13179

Reviewed By: hx235

Differential Revision: D66724729

Pulled By: cbi42

fbshipit-source-id: a027d6664f2924473884a3d5d129748ea1e5fe37
This commit is contained in:
Koorous Vargha 2024-12-05 12:09:44 -08:00 committed by Facebook GitHub Bot
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@ -38,12 +38,11 @@ Snowflake [uses](https://www.snowflake.com/blog/how-foundationdb-powers-snowflak
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
## LinkedIn
Two different use cases at Linkedin are using RocksDB as a storage engine:
1. [Venice](https://venicedb.org/) is a derived data platform using RocksDB as its storage engine. It is LinkedIn's ML feature store, powering thousands of recommender use cases, including the Feed, Video recommendations, and People You May Know.
2. 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
3. Apache Samza, open source framework for stream processing.
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
Learn more about LinkedIn's follow feed and Apache Samza 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