COMPARE
Key caching features of Couchbase vs. the competition
- What’s included
- JSON support
- Sub-document access
- Real-time analytics
- Secondary indexing
- Scalability
- Multi-dimensional scaling
- Replication across data centers
- Container/Kubernetes
- DBaaS on all major public cloud providers
- HA replication/failover
- Couchbase
- Redis
- Requires additional module
- Lacks complex query capabilities
- Basic indexing, not complex queries
- Lacks advanced sharding
- Not fully automatic
- Memcached
- Lacks advanced sharding
- Basic Kubernetes support
- Oracle Coherence
- Lacks deep analytics tools
- Limited capability
CUSTOMERS
Caching success stories
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"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, LinkedIn10+ million queries per second< 4 ms average latency -
“Couchbase was able to embrace with us our vision to the cloud, and that we wanted to operate data stores directly on PaaS.”
Vincent Bersin, Unit Manager, NoSQL Solutions, Amadeus20M operations per second< 2.5 ms response times -
"None of the other solutions came even close to Couchbase’s broad enterprise capabilities."
Aviram Agmon, CTO, Maccabi Health Care2.3 million customers on a single app0 downtime for thousands of daily connections