Investors just can’t get enough of Big Data startups at the minute, with the latest beneficiary of this goodwill being Deep Information Sciences. The Portsmouth, N.H-based startup has just acquired $10m in series A funding from sources including Stage 1 Ventures, Robert Davoli and others to help develop its ‘high-performing transactional and analytic database’.

Readers might have heard about Deep before. Previously, the company was known as CloudTree, but the name change reflects a switch in focus towards Big Data and its flagship product DeepDB, which enables simultaneous transactions and data analytics in real-time on the same data set, bringing unprecedented speed, simplicity and scale to data-driven decision making.

DeepDB can be accessed via the cloud or on-premise, depending on the needs of the client. Its creators say that it aims to solve three big problems facing enterprises today, that of “minimizing disk space, maximizing cache effectiveness and optimizing CPU and core concurrency.”

“We are bringing to the market an innovative way to manage big data in real time,” says Kurt Dobbins, Co-founder and CEO of Deep. “Our powerful technology, combined with our leadership bench strength, positions us for a fast path to market leadership in big data. We look forward to the opportunity to help our customers overcome the challenges of big data and seize competitive advantages through a next-generation approach to data management.”

So far, it looks like Deep is more than capable of doing so. It’s only signed up two clients to date, but one of them, Global Relief Technologies, claims it was able to update its databases with information from employees’ mobile devices much more rapidly than before, completing a process that used to take one day in just 17 minutes.

We do of course have other database offerings that provide a mix of transactional and analytic functionality, such as JustOneDB and SAP HANA. But tests show that DeepDB far outperforms these systems in many use cases. For example, one case shows that DeepDB was able to gorge its way through 1.72 million transactions a second. In comparison, MySQL using the InnoDB storage engine managed a mere 32,000 transactions a second.

With Wikibon estimating the Big Data industry to be worth $18.1 billion by the end of 2013, we’ve seen the emergence of a large pool of database providers claiming to offer unique products. Whether or not that’s true is debatable, but with Big Data seemingly growing on trees these days, it’s not hard to imagine cases wherein enterprises require different kinds of databases to complete different kinds of tasks. Even so, DeepDB has a tough challenge ahead of it, and will need to secure more clients in order to demonstrate that it truly is one of the best options in the Big Data transaction and analytics market.