Glassbeam checked in recently, and they turn out to exemplify quite a few of the themes I’ve been writing about. For starters: Glassbeam has an analytic technology stack focused on poly-structured machine-generated data. Glassbeam partially organizes that data into event series… in a schema that is modified as needed. Glassbeam basics include: READMORE...
Glassbeam, a big data applications company specializing in multi-structured machine data analytics, has introduced Glassbeam SCALAR, a cloud-based platform for organizing and analyzing complex machine data. Glassbeam has also introduced a new application, Glassbeam Explorer, and a new tool, Glassbeam Studio. Glassbeam SCALAR is a modern platform for analytics on data from the Internet of
This week Glassbeam announced a new solution for vendors whose products in the hands of clients produce mountains of potentially valuable “back-end” data. Mining that data which can include streams of ongoing customer site configurations, usage, status, location or really any relevant sensor results can help drive vastly better customer support and satisfaction, new and timely revenue
Glen Almendinger’s monthly Harbor Research newsletter today highlights a a company called Glassbeam. The title of the lead article is: Glassbeam: The Future of Machine Data Analytics From Glen’s article: In a truly connected world of smart systems, not only people but all electronic and electro-mechanical products and machines will produce mountains of valuable information, all the time.
No army in the world can fight an idea whose time has come. So said prolific visionary Victor Hugo. One could certainly argue, especially in the age of Big Information, that healthcare exchanges represent one such idea. However, just because an idea is good, doesn’t mean that any implementation plan will guarantee success. And all too often, huge changes to any large system can do more harm than
Another day, another Splunk competitor crops up with a weapon aimed to win the machine data hearts of the IT world. Can Glassbeam’s SCALAR knock Splunk off its perch? For being an emerging field, machine data has been dominated by Splunk ever since it took its log file system and repurposed it to take advantage of the myriad of growing machine data available in the big data wild. The latest
Machine data analytics specialist Glassbeam has announced a trio of new offerings, with the most important being Glassbeam SCALAR, a next generation cloud-based platform for organizing and analyzing complex machine data. “Glassbeam is very focused on machine data analystics and on the Internet of Things phenomenon,” said Puneet Pandit, Glassbeam’s CEO. The company launched in 2009, and went into
Today, machine data analytics vendor Glassbeam announces the release of Glassbeam SCALAR, a cloud-based platform that specializes in machine data analytics for the internet of things. In contrast to machine data analytics vendors such as Splunk and Loggly that focus on analytics related to machine data specific to data center and cloud-based IT environments, Glassbeam concentrates on complex,
Glassbeam Inc., a Mountain View, Calif.-based machine data analytics company, has raised $3 million in new VC funding led by VKRM Group
Venture firm Kleiner Perkins Caufield & Byers will have to litigate or settle a sexual-discrimination lawsuit filed by a former partner, as the California Supreme Court has declined to consider whether the suit can be resolved through arbitration.