SM: There are many classifications of big data and real time. At this point, that’s one of the reasons why there’s so much activity in the space right now. AZ: Yes. Big data can be sold to enterprises because no matter who you are, you don’t have to be a Facebook anymore to have an
Sramana Mitra: OK, as a follow-on question – this is a good, visceral example to illustrate what you’re talking about. Why has Twitter not been able to monetize along those same lines? It’s similar to Facebook, but Twitter has not succeeded in leveraging the big data/real time element of their infrastructure, why not? Ari Zilka:
Sramana Mitra: I have to say, though, that what you’re describing, even at a big data level, not yet available. Forget big data and real time. Correct? Ari Zilka: That’s where Terracotta comes in. We’re a data management company, and the product’s name is Big Memory. SM: I know, but what I am saying is
SM: There are two trends that we are discussing in this conversation. One is the real-time trend. The other is the big-data trend. So, I would like to do a thought experiment with you that takes both of those into account and use a social media construct on the use case. Let’s say we are looking
Sramana Mitra: Absolutely, that makes sense. Who else in the real-time data access and analytics space plays in the ecosystem? Ari Zilka: In the real-time analytics space, there is a lack of clarity as to what tools to use in the market. The vendors have started to paint fences and mark out territories like complex
Sramana Mitra: So, the way end customers access your product is through other application vendors that are using your product to develop their applications? Ari Zilka: It’s a 50-50 split. Half the world doesn’t even need to know we’re there. They use other applications that use us. We help those vendors sell our product to