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Couchbase is an open source distributed key-value database management system using the memcached protocol, optimized for storing data behind interactive Web applications. It is ideally suited for applications that require predictable, low-latency, random access to data with high sustained throughput.

Couchbase automatically spreads data and I/O across servers. This "scale out" approach at the data layer permits virtually unlimited growth of transaction capacity, with linear increases in cost and constant per-operation performance. Couchbase processes both read and write operations with low, quasi-deterministic (sub-millisecond) latency and high sustained throughput. Couchbase maintains its performance characteristics across the entire scaling spectrum: from a single server running Couchbase to a cluster aggregating thousands of Couchbase servers.

Couchbase is in production behind thousands of applications, from shared-server deployments at Heroku to dedicated Couchbase clusters with hundreds of servers at Zynga and NHN. It is used by the vast majority of the most popular websites including Google, Facebook, YouTube, and Twitter, as well as by make social gaming sites.

Couchbase 1.8.0

Free to download


Apache License 2.0

NorthScale, Zynga, NHN


System Requirements
Kernel with epoll

Documentation, FAQ, Blog, Forums, Mailing List

Selected Reviews:

Features include:

  • Persistence:
    • Asynchronously writes data to disk after acknowledging write to client.
      • Tunables to define item ages that affect when data is persisted
    • Supports working set greater than a memory quota per "node" or "bucket"
      • Tunables to affect how max memory and migration from main-memory to disk is handled
    • Configurable “tap” interface: External systems can subscribe to filtered data streams – supporting, for example, full text search indexing, data analytics or archiving
  • Replication and failover:
    • Multi-model replication support: Peer-to-peer replication support with underlying architecture supporting master-slave replication
    • Configurable replication count: Balance resource utilization with availability requirements
    • High-speed failover: Fast failover to replicated items based upon request
    • vBucket (currently it supports up to 4096) which contains or owns a subset of the key space, each which can be configured independently
  • Scalability / Performance:
    • Distributed object store: Easily store and retrieve large volumes of data from any application, using any language or application framework
    • Dynamic cluster resizing and rebalancing: Effortlessly grow or shrink a membase cluster, adapting to changing data management requirements of an application
    • Guaranteed data consistency: Never grapple with consistency issues in your application – no quorum reads required
    • High sustained throughput
    • Low, predictable latency providing predictable performance. When operating out of memory, most operations occur in far less than 1 ms (with gigabit Ethernet)
    • Auto-migration of hot data to lowest latency storage technology (RAM, SSD, disk); multi-threaded
  • Supports two main protocols: Classic ASCII, and a newer binary
  • Returns data with sub-millisecond latency
  • Fully compatible with Memcached

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Last Updated Monday, May 25 2015 @ 12:03 PM EDT

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