The car company Tesla makes fully electric vehicles that are the absolute finest, cleanest, quietest and fastest electric cars on the market. Whereas other cars are really just modest hybrids of electric and gas, a Tesla is a purely electric vehicle, and it is exponentially better for it.
In-Memory Computing is to traditional computing what a Tesla is to a Prius. Many people view it as merely a way to speed everything up, but it’s important to understand that In-Memory represents an entirely new paradigm. The agility at which you can process data, literally hundreds if not thousands of times faster than before, means you can do things that were never before possible.
Right now products like SAP’s HANA and Oracle’s Exalytics are on the lips of technology leaders, but it has yet to light the fire under people’s noses for the simple fact that it’s misunderstood.
As part of our series on In-Memory Computing, we wanted to clear the air. Over the next few months we’ll look at whether In-Memory is ready for the mainstream, just how practitioners are adopting it today and what all beyond the technology it will take to enable Real Time Analytics. And we’re kicking off the whole thing with a look at one of the hottest products in the In-Memory market today, SAP HANA.
Here’s a brief rundown of the whole series, and take a look at our channel page to find full topic descriptions, all the available podcasts for streaming, a list of guests and other In-Memory related resources and organizations.
Can SAP HANA Hold Up to Scrutiny?
SAP HANA might just be the poster boy for In-Memory, but we wanted to know if it was the real deal and sat down with Jeffrey Word, VP of Product Strategy at SAP, and Chris Nokkentved, CTO of Enterprise Application Services at HP, to find out what makes it a viable solution, what are some of its core differentiators from other products and how companies can identify a use case that works for them. You’ll learn that In-Memory is no panacea, but the possibilities are truly impressive.
Is In-Memory Computing Ready for the Mainstream?
Massimo Pezzini is a Research VP with Gartner, and he’s the authority on what the In-Memory marketplace looks like and whether or not the vendor solutions are feasible. On this Analyst Corner he cuts away at some of the hype surrounding In-Memory by exploring its positives within certain industries as well as its limitations and lack of standards across the board.
Exploring and Embracing In-Memory Computing – Panel Discussion – Launching soon
To find the real results of In-Memory, we went to the source and discovered how practitioners were actually adopting it. We’ll find out what use cases and benefits they’ve identified beyond speed, and we’ll ask what pitfalls they’ve fallen into as a result or what incremental ROI they’ve seen.
Enabling Real Time Analytics
Just how real is “real-time analytics” today? Everyone’s trying to glean insights from Big Data, but the idea of real time analytics has been something of an illusory one, and it pays to be seen in just what way being real time can be a competitive advantage. In this Viewpoint we explore how IT can have a hand in its implementation and how In-Memory can make it happen.