提交 90ffed1f 编写于 作者: I Igor Canadi 提交者: Yueh-Hsuan Chiang

Update USERS.md with link to LinkedIn blog post (#1088)

上级 99a3bf8f
......@@ -9,7 +9,7 @@ At Facebook, we use RocksDB as a backend for many different stateful services. W
## LinkedIn
Two different use cases at Linkedin are using RocksDB as a storage engine:
1. LinkedIn's follow feed for storing user's activities
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
......@@ -55,4 +55,4 @@ Pinterest's Object Retrieval System uses RocksDB for storage: https://www.youtub
## 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.
\ No newline at end of file
quasardb uses a heavily tuned RocksDB as its persistence layer.
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册