AtScale updates platform to enable BI on Hadoop and big data

Matt Baird, AtScale

AtScale, which bills itself as bridging the gap between business users and their data, has expanded its self-service BI platform from BI on Hadoop to BI on Big Data, both on premise and in the cloud, to realise its vision of modernising the BI platform to perform queries at interactive speed and scale for any type of data.

And the vision is fast becoming a reality as, in addition to Hadoop, AtScale is now previewing support for data stored in Teradata, Google Dataproc and BigQuery, building on its existing support for Microsoft Azure and HDInsight.

“We’ve had exposure to some of the most sophisticated use cases for enterprise business intelligence,” said Matt Baird, co-founder and CTO, AtScale. “And every single customer has asked us to extend our capabilities across the rest of their data portfolio.”

Some of the largest enterprises in the world are AtScale customers, including Bloomberg, Comcast, GlaxoSmithKline, Groupon, Home Depot, Cloudera and Hortonworks.

“A modern analytic platform standardises on what’s important, an interactive business view of big data that any tool or application can access, balancing the need for unfettered exploration with standards to ensure data consistency,” said Wayne Eckerson, a thought leader in the BI and analytics field. “In this regard, AtScale is ahead of the pack.”

And it is paying off as AtScale has grown revenue by more than 10X since it launched.

“Enterprises now expect their BI platform to work with any BI tool, whether it talks SQL or MDX, whether it’s packaged or open source. AtScale is the only solution to this need,” said Jerry Yang, founding partner, AME Cloud Ventures and co-founder of Yahoo!.

AtScale’s modern BI platform applies its “universal semantic model” across big data to eliminate the traditional need to move the data, which is costly in terms of time, agility and money.

“The average BI platform company is 22 years old,” said Dave Mariani, CEO and co-founder, AtScale. “We can’t expect them to work well on today’s data stack. We certainly shouldn’t count on them alone for the data platforms of tomorrow: trying to scale BI in ways that are reaching the limits of a quarter century old framework is the road to disappointment.”

AtScale offers one data model across all BI tools, enabling users to draw important business insights from their data without abandoning their preferred tools for the new platforms such as Hadoop or Google BigQuery. AtScale leverages open-source to overcome the negatives associated with proprietary engines and traditional approaches such as data marts, extracts and exports.