Concurrent, a company aiming to simplify data management on the Hadoop framework, has secured $10 million in funding. The round was lead by Bain Capital Ventures, with Rembrandt Ventures and True Ventures also participating. Concurrent founder Chris Wensel is the mastermind behind the Cascading framework that simplifies storing and processing data on Hadoop, by abstracting away the complexities of running conventional MapReduce jobs.
There has been alot of market interest recently in technologies which simplify the process of data storage and management, and make big data technologies easier to use. This is something which Concurrent chief executive, Gary Nakamura, is well aware of: “There’s ton of innovation around this notion of data and how to crete data products that end users will consume,” he stated.
Using Hadoop typically requires special training; training which can prove exceptionally valuable, given Hadoop’s broad remit of applications. But Concurrent works to provide greater ease of access to Hadoop, and makes it easier to write applications.
Products targeted at augmenting the Hadoop experience are doing well across the board. Trifacta, aiming to clean up data in Hadoop, had a $25 million round of funding at the end of May; Splice Machine, aiming to give real-time capabilities to Hadoop, announced a $15 million funding round in February. Hadoop-on-Premium services such as Cloudera and Hortonworks also continue to draw in serious investment.
Although Concurrent has less than 10 paying customers to date, it’s first commercial product Driven (which manages Cascading apps) only came out four months ago, and they’re tapping into a market of an estimated 7,000 Cascading users. Concurrent has raised $14.95 million to date; clearly the investors see promise in the idea of making Big Data technology more accessible and easier to use.
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