high-performance

Whitepaper

High-performance applications with distributed caching: Choosing the right solution

CHALLENGES

Get integrated caching from a complete NoSQL solution

Couchbase excels in rapid caching with its memory-first design, and ensures a comprehensive caching solution by expertly managing other key aspects like synchronization, scalability, and adaptability.

CHALLENGE #1

Management

Couchbase automates syncing and failover recovery in caching across data centers and regions.

CHALLENGE #2

Scaling

Couchbase balances efficient indexing with scalable, multi-dimensional growth.

CHALLENGE #3

Flexibility

Couchbase integrates JSON, sub-document ops, and real-time analytics in caching.

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

Linkedin-Image
“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
10+ million queries per second
< 4 ms average latency

High-performance applications with caching

Distributed caching enhances app performance, reduces cost, and is scalable