The cloud, mobile, and social networking have transformed the requirements of data centers and databases, says Tarun Thakur, CEO and co-founder of Datos IO. Traditional relational databases, for which users need to set up schemas at the outset, are not a good match for this new, more dynamic world, he says. A look at what’s happened with Informatica, Riverbed (News - Alert), and Veritas – all of which recently went private, eliminating $12 billion in market cap from this product category – illustrates that fact, he says, as does the rise of a new breed of database solutions like Amazon Aurora, Apache, Hadoop, SAP (News - Alert) Hana, and talend, among many others.
What’s needed, says Thakur, are distributed databases that users can scale horizontally rather than vertically. To address that need, Dataos IO today formally unveiled what it says is the industry’s first distributed versioning platform for next-generation scale-out databases.
Dataos IO is not just another startup. The 16-month-old company already has $15.25 million in Series A funding under its belt, 19 product betas in the pipeline, seven deployments with early adopters, and four customers – including eBay (News - Alert) and Barracuda – that it can mention by name.
“We do believe we’ll have a first mover advantage,” said Thakur in a recent interview, adding that customers want to run analytics and elastic search on top of their databases.
The Dataos IO platform allows for ease of deployment and scaling; cluster-consistent versioning, with support for app-centric, resilient, native formats; orchestrated repair-free restores, with no app downtime; and semantic deduplication to allow for a smaller data footprint.
Sarkar, a former Data Domain (News - Alert) (EMC), Veritas and IBM Research veteran, said Dataos IO is “a company that is reinventing recovery for the new world.” Its product is slated to be generally available next year.
Edited by Dominick Sorrentino