New Analytics features
Optimize your JSON analytics pipeline
Measure real-time business operations to derive insights, make immediate decisions, and drive growth.
Is architectural complexity restricting your ability to gain timely insights from operational data?
Time to insight
Improve business efficiency by gaining insights quickly without the need to transform and process operational data.
Increase application agility and reduce maintenance by eliminating the need for schema modifications when JSON source data changes.
Reduce infrastructure complexity, application development complexity, and cost with a single system for operations and analytics.
Bringing NoETL to NoSQL: enabling organizations to derive rich real-time insights on operational data
JSON data analysis provides unmatched agility and flexibility
Use JSON data analysis tools to evaluate operational data in near real time and reduce costs by eliminating a separate layer for analytical data. Ingest, consolidate, and analyze JSON data from multiple Couchbase data clusters, AWS S3, Azure Blob Storage, and data centers in a centralized cluster dedicated to the Analytics Service. Watch the demo here. Couchbase Analytics can dynamically query data. Watch the demo here. Now in Developer Preview, Couchbase Analytics can query your data lake in Azure Data Lake Gen 2 and Google Cloud Storage, and read Parquet files from AWS S3.
Unparalleled performance at any scale
Run analytical queries at any scale with a massively parallel processing (MPP) engine in a highly available environment 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. Watch the demo here. Simplify operations with analytical and operational workloads in a single platform, while enjoying optional workload isolation out of the box.
Customer success spotlight
Domino’s operates over 14,000 restaurants in more than 85 countries and is the world leader in pizza deliveries with over 1.5 million each day. Couchbase Analytics enables Domino’s to build customer loyalty by exploring operational data and delivering personalized marketing campaigns in near real time.
1K% improvement in targeting
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.
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.
500% 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.
42,271 stadium capacity
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.
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.
Use cases & solutions
Aggregate data collected from different sources in one platform to build a single view of your customer or business.
Catalog and inventory
Publish new product and inventory content in real time and scale to millions of products and requests per second to present the right data at the right time.
One platform to manage data from different sources, push it to the edge, and ensure it is stored securely and available online and offline.
IoT data management
Manage, support, and drive real-time data insights at the edge with embedded and cloud databases, sync, and guaranteed data availability.
Videos and presentations
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