Everyone in Big Data is anticipating the Internet of Things trend. Don discusses it as well, along with other issues.
Sramana Mitra: Don, let’s start with introducing our audience to you as well as Infobright.
Don DeLoach: I’m the President and CEO of Infobright. Infobright is a company that offers a purpose-built platform for storing and analyzing machine-generated data. If you had to classify us, it would be the column-based analytic database. There’s a number of clever offerings that I have a high respect for. We are not of the belief that there’s one silver bullet and nobody else does anything good.
We actually have huge respect for a lot of the other technology of the market. But the fact of the matter is our approach differs fairly significantly once you ingest the data. It provides extremely strong and unique qualities for storing and analyzing machine-generated data. We would not characterize ourselves as an enterprise data warehouse. We have on occasions directed interested customers and prospects to what you would might think of as our competitors because we are not trying to be all things to all people but we’re very good at where we focus our efforts.
Sramana Mitra: Where do you focus your efforts?
Don DeLoach: It’s on organizations that spend a lot of time and effort and have a lot of interest in storing and analyzing machine data. Fundamentally if you think about storing logs of some form or fashion, it’s a little deeper than that. If the structure of the data tends to be a limited number of tables or billions of records, then the approach that we take can leverage that type of data with some unique qualities. From a use case standpoint, we tend to do an awful lot of our business as an embedded OEM solution for the telco space – people servicing the mobile network operators. We also do work in more general log management and we have an awful lot of customers in the ad tech space – online analytics, mobile analytics, and gaming.
At the end of the day, it’s all about storing and analyzing that type of data – whether it’s call data records, network events, or even trade logs. We provide them the ability to take what is technologically possible using a number of different modalities from bringing it from the realm of what is possible into the realm of what is more practical, given the type of scale we’re talking about and how these traditional systems need to evolve to accommodate that scale.