Architected for performance, versatility, and scale

Couchbase’s memory-first architecture meets modern performance demands by offering in-memory direct access to its underlying key-value engine and its peers such as search and eventing. It also supports a flexible JSON data model favored by developers and easy access via SQL++. Couchbase scales linearly, supports over a dozen programmer-friendly SDKs, includes enterprise-grade security, and is available across major clouds.

Architecture Innovations + Differentiators

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Related resources

  • WHITEPAPER
    Get under the hood

    Explore Couchbase’s distributed, multimodel NoSQL database

    Get the whitepaper
  • DOCUMENTATION
    High availability clustering explained

    Understand how Couchbase handles outages

    Clustering and Availability
  • PRODUCT PAGE
    Take your applications anywhere

    Learn why only Couchbase offers peer-to-peer sync among mobile clients

    Go Mobile

Customer Case Studies

Amadeus powers the travel industry’s most reliable customer experiences

20M

operations/second

<2.5 milliseconds

Response times

Read More

Viber processes 15 billion events per day with Couchbase

60%

reduction in number of total servers

Read More

Sky keeps viewers happy with high performance and availability

50%

reduction in sign-in time

Read More

Revolut strengthens fraud detection with machine learning

75%

improvement in fraud prevention

$3M+

in savings

Read More

Equifax provides agile services and dependable data for lenders.

5ms response times

for 1.5B records

Read More

Frequently Asked Questions

  • How is Couchbase different than other leading databases?

    While depending on the database, customers typically come to Couchbase for four common reasons.
    • Performance: Their current databases are failing in the areas of throughput, latency and high availability. Often it is not just one thing, but overall architecture.
    • Flexiblity: Their databases are rigid and not supporting rapid application development
    • Mobile: They want a robust, proven offline-first product. Couchbase mobile launched in 2014.
    • Lower TCO: Their databases don’t scale and meet demands without add on technologies and/or huge costs.
    Find out more how Capella compares to other cloud databases.

  • Is Couchbase the same as Couch DB?

    Couchbase delivers superior performance, data consistency, query cpabailites, and development tools, while also offering Capella, our database-as-a-service. Find out more here.

  • What is Couchbase architecture?

    Couchbase is a highly available distributed database that performs operations in-memory, but also delivers durability to disk. Data is stored in JSON and queried via SQL++ or KV. Couchbase's architecture has a built in distributed cache and offers multi-model services like full-text search, eventing and analytics. Data can be synchronized to edge devices using the embeddable Couchbase Lite database.

  • What is Couchbase used for?

    Couchbase is used by companies across all industries and a variety of operational use cases. Common cases include, caching to speed of legacy applications, user profile management/personalization, dynamic product catalogs, customer 360, offline-first mobile/IoT apps, and operational analytics. For more customer use cases, see customer stories.

  • Is Couchbase a relational database?

    Couchbase is a NoSQL database, but it does use SQL++ as the query language. The Couchbase Data Model, based on JSON, provides a flexible schema that can evolve by applications over time. Documents often represents a single instance of an object in application code. A document can be considered equivalent to a row in a relational table; with each of the document’s attributes being equivalent to a column. Couchbase provides greater flexibility than an RDBMS in that it can store JSON documents with varied schemas. Developers can express many-to-many relationships without requiring a reference or junction table. Documents can refer to each other by key. Couchbase does contain dynamic data structures that can be model to align to a relational data schema making migration easier. For more on data modeling.

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