UPDATED 03:01 EDT / OCTOBER 21 2013

Machine Data Analytics Gets a Boost from Glassbeam’s Cutting Edge SCALAR Software

Glassbeam is hoping to carve out a slice of the Splunk-dominated machine data analytics market with a new cloud-based service for tapping operational data. Dubbed SCALAR, the software brings structure to the Internet of Everything with a proprietary language that helps engineers describe information in large-scale data warehouse environments.

SCALAR runs Glassbeam’s Semiotic Parsing Language on a stack of open source components that couples Cassandra with Solr to analyze both unstructured and multi-structured machine data. The solution doubles as an application platform that supports several tools and dashboards, including the newly unveiled Explorer log management solution.

Explorer features search and visualization capabilities that can be utilized to integrate different types data and identify patterns across multiple information sources. According to the company, users can leverage this functionality to improve troubleshooting and create a central data repository for compliance and audit purposes. Explorer is joined by Glassbeam Studio, a visual development environment that aims to make it easier for developers to map data streams and generate meta definitions inside SCALAR.

Puneet Pandit, the chief executive officer of Glassbeam, said that his company’s solutions help organizations unlock the true value of machine data.

“Our solutions are already deployed and trusted by some of the world’s largest Fortune 500 companies. There is more to log analysis than IT logs and operational intelligence, and our ultra scalable platform takes the next step to unlocking the value of machine data – product and customer intelligence for the entire enterprise,” Pandit stated. “We are proudly at the forefront of machine data analytics for the next era and the Internet of Things.”

Like Glassbeam, Splunk is working to expand its machine data solution beyond log analysis. The company recently allied with Pentaho to deliver a platform for extracting information from a wide range of connected devices, including sensors and smart machinery. The latter segment has drawn the attention of GE, which is also partnering aggressively to usher in what it calls the Industrial Internet.


Since you’re here …

… We’d like to tell you about our mission and how you can help us fulfill it. SiliconANGLE Media Inc.’s business model is based on the intrinsic value of the content, not advertising. Unlike many online publications, we don’t have a paywall or run banner advertising, because we want to keep our journalism open, without influence or the need to chase traffic.The journalism, reporting and commentary on SiliconANGLE — along with live, unscripted video from our Silicon Valley studio and globe-trotting video teams at theCUBE — take a lot of hard work, time and money. Keeping the quality high requires the support of sponsors who are aligned with our vision of ad-free journalism content.

If you like the reporting, video interviews and other ad-free content here, please take a moment to check out a sample of the video content supported by our sponsors, tweet your support, and keep coming back to SiliconANGLE.