Architected for performance, versatility, and scale

The Couchbase memory-first architecture is designed to meet modern performance and scalability demands. By providing direct in-memory access to the underlying key-value engine, search, and eventing services, Couchbase ensures low latency and high throughput for mission-critical applications.

This Couchbase database architecture supports a flexible JSON data model, enabling developers to store, query, and analyze data efficiently with SQL++ — including vector search for AI-powered applications. Couchbase scales linearly, provides enterprise-grade security with encryption at rest, supports more than a dozen SDKs, and runs seamlessly across all major clouds.

Unique advantages

Related resources

Customer case studies

Amadeus ensures high availability and performance for over 8 million travel booking queries per second with Couchbase.

20M

operations/second

<2.5 milliseconds

Response times

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Viber gains the scalable performance to process up to 15 billion calling and messaging events per day for over 1B mobile users with Couchbase.

60%

reduction in number of total servers

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Sky keeps viewers happy with high performance and availability and cuts disaster recovery time from hours to minutes with Couchbase.

50%

reduction in sign-in time

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Revolut combines machine learning with Couchbase’s speed, agility, and scalability to monitor card transactions and reduce fraud.

75%

improvement in fraud prevention

$3M+

in savings

dev-exp-customer-images_revolut

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 the overall architecture.
    Flexibility: Their databases are rigid and do not support rapid application development.
    Mobile: They want a robust, proven offline-first product. Couchbase Mobile launched in 2014.
    Lower TCO: Their databases don’t scale to meet demands without add-on technologies and/or huge costs.

    Find out more about how Capella compares to other cloud databases.

  • Is Couchbase the same as Couch DB?

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

  • How is Couchbase architected?

    Couchbase is a highly available distributed database that performs operations in-memory. Data is stored in JSON and queried via SQL++ or KV. The architecture includes a distributed cache and multi-model services for full-text, vector, eventing, and analytics, with synchronization to mobile/edge devices via Couchbase Lite.

  • 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 represent 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 modeled to align to a relational data schema making migration easier. Learn more on data modeling.

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