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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 gives us the best of all worlds when it comes to managing customer marketing data.”
18K+
stores
90+
countries
“Couchbase is a trifecta of value. We get more features, save time, and spend less money all at once.”
50%
reduction in overall storage needs
500%
improvement in query performance
“To set up a resilient implementation of Couchbase, it took us minutes. We stood up three servers, balanced the load, and instantly we were resilient.”
16M
customers
70K+
square mile service area
Explore related resources
Couchbase Analytics datasheet
Get enterprise analytics for self-managed deployments
Read the docs to learn more about Capella Analytics.
Couchbase Analytics FAQ
Get quick answers to questions about Couchbase’s real-time JSON analytics database.
What is Couchbase Analytics?
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.
Does Couchbase Analytics require ETL?
No. Couchbase Analytics ingests and queries JSON data in real time without ETL pipelines or predefined schemas, making operational data instantly available for analysis.
Can analytics results update operational data?
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.
What BI tools work with Couchbase Analytics?
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.
How does Couchbase Analytics handle scale?
Couchbase Analytics uses columnar storage, massively parallel processing, and compute-storage separation to deliver accelerated query performance across large, complex datasets.
Does Couchbase Analytics support Apache Iceberg?
Couchbase Enterprise Analytics (self-managed) queries Apache Iceberg tables. Run SQL++ on lakehouse data in place with zero ETL.
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