BitYota, a startup coming out of stealth mode Tuesday, has a simple concept: Offer data warehousing as a service so big data can be consumed rapidly across companies and keep the hardware layer in the background.
The idea is overdue and it's no wonder that BitYota has raised $12 million in funding from a bevy of venture firms headlined by Andreessen Horowitz.
According to Dev Patel, CEO of BitYota, the game plan for his company is to offer data warehousing infrastructure at a lower cost and abstract it from the customer. Big data projects will stress storage and data warehousing budgets. The choice for companies will be to add more hardware, upgrade to pricier systems and stress capital budgets trying to scale. BitYota's plan is to offer data warehousing as a service starting at $1,500 a month for 500GB of data. The promise is that customers will get data warehousing analytics without worrying about hardware.
The challenge for BitYota is that Amazon Web Services also launched a similar effort. Patel said the AWS effort isn't necessarily competitive. "It's not a competitor to us. Amazon is taking the traditional data warehouse and making it available. We focus on a SaaS approach where the hardware layer is abstracted away," said Patel. In other words, BitYota's version of data warehousing as a service doesn't include setting up clusters---whether it's on-premise or in the cloud.
"Data warehousing as a service can allow big data to be consumed by more companies than before," said Patel. Indeed, BitYota's service could appeal to large companies that need an add-on to their existing data warehouse as well as smaller companies.
Patel, also a founder, added that BitYota hopes to be "the equivalent of Salesforce.com for data warehousing." Initially, the company plans to focus on mobile, advertising technology and education applications.
BitYota's other key pitch is that it is built on cloud infrastructure. Its first deployment was on Amazon Web Services, but assuming clouds have typical frameworks BitYota could run on other services such as Rackspace. The BitYota team features executives from Oracle, BMC, Twitter, Veritas and other key data warehousing players.
Overall, BitYota's approach could play well with corporations. Many big data pilots include Hadoop clusters intertwined with analytics infrastructure. At some point, all that data will require more operating and capital expenses to scale.
Meanwhile, BitYota uses SQL technology, which will appeal to enterprises. Patel added that BitYota will easily import customer data, schedule number crunching and deliver information via standard business intelligence tools and dashboards.
As for the competition, BitYota may wind up seeing similar offerings from hardware and software based outfits such as Teradata and IBM. "We have built this from the ground up on cloud infrastructure and don't assume any high-end hardware," said Patel. "Some traditional data warehouse players will have to reconstitute on a new stack."