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Machine data analytics company Glassbeam has announced a new cloud-based software platform called Scalar, in an attempt to help companies take advantage of the emerging business opportunities provided by the "Internet of Things."
People haven't approached the problem from how the user will actually use these tools.
president, Harbor Research
The Santa Clara, Calif. company also announced a new search application called Glassbeam Explorer, as well as Glassbeam Studio, a visual development tool that automatically maps unstructured log files for analytics. Scalar and Explorer will be generally available Nov. 1, while Glassbeam Studio is available in beta.
Internet of Things is a term that is becoming increasingly common as more and more pieces of technology are enabled to transfer information through a network automatically. Machine data analytics takes the information generated by such machines and analyzes it to learn more about how the machines are being used and how effectively they are functioning.
"The center of gravity historically, with these kinds of machine data applications, has been more just [on] kinds of monitoring, alerts and alarms, and support kinds of functions. As people come to understand the big data phenomenon and the whole ability to include machine analytics in that big data story, the pull in the marketplace, the demand for these kinds of technologies, I think, will be quite significant," said Glen Allmendinger, president of Boulder, Colo.-based Harbor Research.
Glassbeam Scalar is designed to handle any log format, piece together multiple data sources, scale horizontally to handle large volumes of data, and be capable of integrating with external BI tools and enterprise applications. The Glassbeam Explorer application is an improved search application that allows users to zoom in on the data from individual log files and features a change-tracking mechanism that highlights the sections of a log file that have changed since the last time it was sent.
Sri Desikan, vice president of products and marketing at Glassbeam, said that these new releases are going to fully enable the company to do many things that its competitors cannot. These competitors include companies such as Splunk, Sumo Logic and Loggly.
"I think it is very unique, actually," said Allmendinger in regard to Glassbeam's machine data analytics technologies. "Everybody's got a piece of everything; nobody's tried to organize the whole. In other words, people haven't approached the problem from how the user will actually use these tools."
Desikan emphasized that the growth of the Internet of Things has created a wealth of information that businesses can use to improve their business efficiency.
"There's technology to analyze it; there are companies like Glassbeam who have made it really, really easy to collect and parse that data. So we're going to see a lot more people generate this data, generate a lot more data, because they can now send it back and analyze it," he said.
Allmendinger said that machine data analytics is still an underdeveloped area because it is so machine-centric, and there are many companies that have not yet mastered it. However, he said that for companies that understand how to take advantage of the technology, there is a lot of value.
"It really has almost equal value in sales and marketing usage, product requirements, and product planning and product development kinds of environments, as well as traditional customer support," he said.
When searching for a product to help with machine data analytics, Allmendinger advises companies to look at customer needs and requirements first. From there, he said that the key to getting the best return on investment is to decide whether those customer needs will be best met with an end-to-end product or an organized set of tools.