Analyze external data in AWS S3 and use remote links to centralize analytics
With a central institute and a vast network of local and regional banks, Crédit Agricole is the world's largest cooperative financial institution. Couchbase enables the company to perform complex price computations and data segmentation analysis using JSON while eliminating the need for ETL.
Système U has over 1,500 independent stores throughout France, making it one of the country’s largest retailers. They use Couchbase Analytics to isolate analytical workloads, streamline analysis of customer and product data, and optimize promotional offers.
Revint provides revenue integrity solutions and services that help healthcare organizations in the U.S. recover over $700 million in underpaid or unidentified revenue every year. As their data volume ballooned, Revint turned to Couchbase to simplify scaling and complex queries for their heavy operational load.
healthcare providers supported
complex analytics queries
BroadJump helps healthcare organizations gain better visibility and control over their expense management to lower costs and operate more efficiently. With Couchbase, the development team is able to use their existing SQL skills to execute complex queries for analytics while improving query performance.
improvement in query performance
The Cincinnati Reds use Couchbase to manage game-day data from a wide variety of sources in real time. They leverage Couchbase’s built-in Analytics and Eventing Services to optimize operations and deliver personalized offers, services, and interactive experiences for their fans.
regular season games
Unmatched agility and flexibility
Analyze operational data in near real time and reduce costs by eliminating a separate layer for analytical data.
Ingest, consolidate, and analyze data from multiple Couchbase data clusters and datacenters in a centralized cluster dedicated to the Analytics Service. Read the feature blog here.
Couchbase Analytics can now dynamically query data that resides in AWS S3 on demand. Read the feature blog here.
Unparalleled performance at any scale
Run analytical queries at any scale with a massively parallel processing (MPP) engine that scales linearly with the flexibility to add capacity on demand with high performance – dramatically reducing the time to insight (TTI) from your NoSQL data.
Multi-dimensional scaling enables analytical queries configured on dedicated nodes to be optimized independently and isolated from operational workloads.
The easiest platform to use and manage
The Couchbase Analytics architecture is easy to adopt and manage. With the easy-to-use web-based management console, you can add nodes with a few clicks.
Simplify operations with analytical and operational workloads in a single platform, while enjoying optional workload isolation out of the box.
Technical features and capabilities
N1QL for Analytics – SQL++ query language
N1QL is the first commercial implementation of the SQL++ query language standard, designed specifically to bring familiar SQL querying to schemaless, semi-structured JSON databases.SQL++ for SQL users
Couchbase Multi-Dimensional Scaling allows analytic workloads to be isolated from the business applications built on the operational data service. Scale up the Analytics Service as needed, independent of the data service.Couchbase core features