Couchbase Analytics

Unlock the power of real-time insights with Couchbase Analytics, the only JSON-native database for operational analytics and real-time write-back for smarter applications.

Advantages of Couchbase for real-time analytic solutions

Modern applications rely on operational data to create next-generation experiences, but enhancing them with dynamic analytics data makes them more personalized. Couchbase bridges the difficult data insight gap by converging operational data and real-time analytics in one platform that enables teams to build critical applications that drive real-time experiences, insights, and actions. As part of the operational data platform for AI, Couchbase Analytics brings that intelligence to everyone acting on your data –the people building experiences and the AI agents working alongside them.

Benefits of JSON analytics with Couchbase Analytics

JSON-native

Seamlessly perform real-time analysis on JSON data.

Unified ingestion

Combine data from multiple databases and flat files for broader analysis.

Developer independence

Perform ad hoc analysis faster, without overwhelming the BI team.

Better applications

Enhance experiences via derived data and real-time context for smarter AI responses and the agents acting on them.

Couchbase Analytics key capabilities

With Couchbase, teams can build real-time insights into critical applications for better recommendations, hyper-personalization, and faster decision-making.

  • Save time, cost, and effort with a single platform

    A single platform saves time, cost, and effort.

  • Zero ETL for JSON

    Automated translation of JSON to a faster, analytics-ready storage format.

  • Open table format support

    Query open formats like Apache Iceberg, enabling zero-ETL, open data lakehouse access (self-managed).

  • Multi-source ingestion

    Combine heterogeneous sources, including Oracle and SQL Server, for broader analysis.

  • Offline feature store

    Store large datasets for training machine learning models.

  • Conversational analytics

    Turn natural language questions into charts in one click without the DW team.

  • Operational write-back

    Copy derived data and derived insights back in milliseconds.

  • Lightning-fast analytics

    Leverage MPP of SQL++ queries and an innovative cost-based optimizer.

  • Compute and storage separation

    Combine fast scaling, S3 and GCS reliability, and unlimited data.

  • Easy access

    Access insights via leading BI tools.

  • Single UI and security

    Control both operational and analytical data.

Real-time analysis of JSON data

Zero ETL means teams can make informed decisions faster, reacting swiftly to application changes and reducing risk. SQL++ based JSON querying solves the challenges teams have with analytics in relational database management systems.

More control and independence

Developers perform ad hoc analysis faster without needing to define schema and in a conversational manner with Capella iQ.

Build critical applications

Utilize real-time metrics to drive action, improve applications, and enhance user experiences.

Single JSON-native platform

The only JSON-native data platform for both operations and real-time analytics services. Build robust apps faster, while saving time and costs.

What customers are saying

Couchbase Analytics FAQ

Get quick answers to questions about Couchbase’s real-time JSON analytics database.

Couchbase Analytics is a real-time, JSON-native analytics engine built into Couchbase Capella. It queries operational data directly with no ETL pipelines, schemas, or separate infrastructure required.

No. Couchbase Analytics ingests and queries JSON data in real time without ETL pipelines or predefined schemas, making operational data instantly available for analysis.

Yes. Couchbase Analytics supports real-time write-back, allowing analytical findings to flow directly into the operational data store for immediate use in live applications.

Couchbase Analytics connects to Tableau, Power BI, and Looker through native JDBC and ODBC connectors, enabling visualization of operational JSON data in familiar BI tools.

Couchbase Analytics uses columnar storage, massively parallel processing, and compute-storage separation to deliver accelerated query performance across large, complex datasets.

Couchbase Enterprise Analytics (self-managed) queries Apache Iceberg tables. Run SQL++ on lakehouse data in place with zero ETL.

Start building

Check out our developer portal to explore NoSQL, browse resources, and get started with tutorials.

Use Capella free

Get hands-on with Couchbase in just a few clicks. Capella DBaaS is the easiest and fastest way to get started.

Get in touch

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