Splunk's DB Connect aims to make more sense of structured data in real-time

Summary:Splunk's description of DB Connect hints that this platform makes more sense of data for use within the enterprise.

Splunk has introduced DB Connect, a new offering intended to enable organizations to easily combine operational intelligence from "machine data" with business context from relational databases.

The San Francisco-based business defines "machine data" as one of the fastest growing and most pervasive segments of big data. Specifically, it's supposed to be the data generated by websites, applications, servers, networks, and mobile devices.

Thus, this new product is designed to allow for structured data from traditional relational databases to be integrated into Splunk Enterprise, the company's core platform for monitoring, processing, and analyzing machine data.

The goals are fairly simple and common for any big data solution these days: improve visibility into the network to drive more visibility, which should in turn improve operational intelligence and richer analytics across an organization.

While there are certainly some obvious sales and other potential revenue-related use cases, Splunk's description of DB Connect hints that this platform makes more sense of data for use within the enterprise.

To get an idea of how it works, Splunk suggested that IT operations teams could track performance, outages and usage by department, location and business segments. Security teams should also be able to use real-time, machine data for incident investigations and threat detections.

Topics: Big Data, Data Centers, Data Management, Networking, Social Enterprise


Rachel King is a staff writer for CBS Interactive based in San Francisco, covering business and enterprise technology for ZDNet, CNET and SmartPlanet. She has previously worked for The Business Insider, FastCompany.com, CNN's San Francisco bureau and the U.S. Department of State. Rachel has also written for MainStreet.com, Irish Americ... Full Bio

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