Blogs

Our presentation at the cassandra summit

Author : DEVANG MEHTA Oct 13, 2014

Glassbeam was a proud presenter at the recently concluded Cassandra Summit in San Francisco. Our application architect, Mohammed Guller, gave a wonderful PRESENTATION that was very well received by the audience. He talked about the key message and value proposition on which the Glassbeam platform is predicated: Data is exploding in the IOT world, and this is not...

Wrapping up a wonderful quarter!

Author : DEVANG MEHTA Oct 04, 2014

Taking a quick pause to reflect upon what’s been a wonderful Q3 from a product, business development, and customer growth standpoint. We launched Glassbeam 4.2 with lots of interesting features designed to make IOT analytics more intuitive, and actionable, to the end-user. In parallel, we launched a new WHATS NEW PAGE on the Website that contains details of...

Single sign on with SALESFORCE.COM

Author : DEVANG MEHTA Sep 24, 2014

We have some good news for SALESFORCE.COM customers. We have achieved Single-sign-on into Glassbeam from within SF.com – thereby enabling easy access to our leading IOT platform through a simple URL. A user logged into SF.com can automatically access Glassbeam without logging their credentials again. This functionality also allows for mapping of roles between...

Partnering with mphasis – global si to drive significant channel leverage

Author : Sep 16, 2014

We ANNOUNCED, with much excitement, just this morning an important partnership with Mphasis that truly represents an important milestone towards providing Glassbeam’s expertise in both IT and IoT analytics sector to Fortune 1000 clients globally. Mphasis is an HP company and it provides state-of-the art data center, security and monitoring capabilities to...

Introducing glassbeam 4.2

Author : PRAMOD SRIDHARAMURTHY Sep 12, 2014

We are thrilled to announce the release of Glassbeam 4.2. – the latest version of our IOT platform. For those new to GLASSBEAM – our Hyper scale platform, SCALAR, along with breakthrough Semiotic Parsing Language (SPL) is used by manufacturers of technology products to quickly extract strategic intelligence from operational data that gets called home from...

Our take on the gartner hype cycle on iot and big data

Author : Jun 02, 2016

Gartner recently OPINED, through it’s vaunted Hype Cycle report, that Big Data was entering the trough of disillusionment and IOT Analytics was still on the upward slope towards the peak of inflated expectations. We find this report to be encouraging (from a market timing viewpoint) and also a bit misleading from a categorization standpoint. It’s encouraging...

Virtues of call-home data

Author : DEVANG MEHTA Sep 02, 2014

Call-home data is one of the often-used buzzwords in the IOT world; yet the nuances and complexities of instrumenting devices and sending back data in a secure and timely manner are often under under-appreciated. This is a bit mystifying, since following best practices in this area can greatly move a company up in its ability to provide product intelligence,...

Celebrating a memorable day in glassbeam’s history

Author : DEVANG MEHTA Aug 27, 2014

Today we announced a NEW ROUND OF FUNDING and the strengthening of our C-suite and board with very well-known industry experts. Goes without saying, everyone here (and ‘here’ includes Silicon Valley and Bangalore) is thrilled about it. This provides validation of the specific area at the intersection of Internet of Things (IoT) and machine data analytics that we...

CRN lauds our premier iot offering

Author : Jun 02, 2016

This is HOT OFF THE PRESS – CRN announced that Glassbeam had been included as one of 2014′s hottest emerging technology vendors. Check out this list in CRN’S AUGUST 2014 ISSUE. We’re delighted to be featured in this list, and doubly so, since this follows up on being included in CRN’S BIG DATA 100 LIST. Particularly because these awards validate Glassbeam as a...

Ingesting call-home data — learnings from the trenches

Author : SURAJ ATREYA Aug 10, 2014

At Glassbeam, we deal with terabytes of data daily. Our SCALAR platform ingests and parses many files in real time. (The files arrive asynchronously and fast!) These files are then picked up for parsing in the order in which they arrive. For such a demanding requirement, we had to design a system which should not only be concurrent and asynchronous but also...

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