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Couchbase Adds Spark Connector to Fuel Operational Business Insights


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NoSQL database technology vendor Couchbase has introduced a new Couchbase Spark Connector. According to Couchbase, the new Spark connector will enable businesses to gain business insights faster, enabling them to deliver better customer experiences through web, mobile and IoT applications.

“The Spark data processing engine and Couchbase NoSQL database are a natural fit to perform end-to-end, real-time data analytics,” said Will Gardella, director of big data product management at Couchbase. “Integrating these two memory-centric technologies via the Couchbase Spark Connector provides a compelling big data solution that can dramatically improve overall business success for digital economy businesses.”

Because web, mobile and IoT applications store and process ever increasing amounts of data, when effectively leveraged, this information can help deliver better customer experiences and improve competitive advantage. But, to achieve these benefits, businesses need an analytical platform such as Spark that can extract data insights and an operational database platform such as Couchbase and, because of the data volume and variety, the analytical and database platforms must be scalable and efficiently integrated together.

According to the vendors, the Couchbase Spark Connector provides integration between bothtechnologies, enabling fast streaming data exchange between the two platforms and reducing time to insight.

Examples of use cases that benefit from the Couchbase Spark Connector include real-time product recommendations for e-commerce applications; IoT sensor-driven evaluations of and predictions of component  failures; detection of potential security threats by network monitoring systems; assessment of questionable transactions by fraud detection systems; and aggregation of data from multiple sources for comprehensive product and customer management;

The Couchbase Spark Connector is available for download here. Additionally, Couchbase will be providing demonstrations of the integration at Spark Summit, in booth B7.


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