About LinkedIn

LinkedIn is the world’s largest online professional network with over 1 billion members. After outgrowing Oracle and then Memcached, LinkedIn chose Couchbase over MongoDB™ and Redis to be the caching solution for its source-of-truth (SoT) data store. Thanks to its ease of use and extremely low latency, Couchbase’s multipurpose database quickly became popular with site reliability engineers across the organization. Today, LinkedIn has a Caching as a Service team that uses Couchbase to support over 50 use cases companywide.

Story highlights
  • Couchbase is used for all in-memory storage in the data center, powering 10+ million queries per second
  • Tremendous performance at scale, averaging <4ms latency for over 2.5 billion items
  • Ease of use, built-in replication and cluster expansion, and automatic partitioning reduced operations costs
Key results
  • 10M+ queries per second
  • <4MS avg latency for 2.5+ billion items
Story highlights
  • Couchbase is used for all in-memory storage in the data center, powering 10+ million queries per second
  • Tremendous performance at scale, averaging <4ms latency for over 2.5 billion items
  • Ease of use, built-in replication and cluster expansion, and automatic partitioning reduced operations costs
Key results
  • 10M+ queries per second
  • <4MS avg latency for 2.5+ billion items

“Couchbase is a highly scalable, distributed data store that plays a critical role in LinkedIn’s caching systems.”

Michael Kehoe, Senior Staff Site Reliability Engineer, LinkedIn
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