Big Data analytics leader previews industry’s first platform to enable unified business intelligence for Teradata, Hadoop, Google Dataproc and BigQuery
San Mateo, CA, November 17, 2016 – AtScale, the first company to provide enterprises with a fast and secure self-service BI platform for Big Data, today announced a significant expansion of its services, from BI on Hadoop to BI on Big Data. With this announcement, the company introduces a Modern BI Platform that enables businesses to work seamlessly across all of Big Data, on premise and in the Cloud. In addition to Hadoop, AtScale has announced preview availability of support for data stored in Teradata, Google Dataproc and BigQuery. This expands on the company’s existing support for Microsoft Azure and HDInsight.
“A modern analytic platform standardizes 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,” says Wayne Eckerson, a thought leader in the business intelligence and analytics field. “In this regard, AtScale is ahead of the pack.”
The company, which counts some of the largest enterprises in the world as customers, has grown revenue by more than 10X since it launched. Corporations like Bloomberg, Comcast, GlaxoSmithKline, Groupon, Home Depot and many others have participated in the evolution of AtScale’s vision. Cloudera became an AtScale customer very early on and Hortonworks licensed AtScale as part of a worldwide resell deal in mid-2016.
The Modern Business Intelligence Platform
“We’ve had exposure to some of the most sophisticated use cases for enterprise business intelligence,” says Matt Baird, co-founder and CTO at AtScale. “And every single customer has asked us to extend our capabilities across the rest of their data portfolio”.
AtScale’s founding team laid out this vision over 6 years ago: create a modern Business Intelligence platform that can perform queries at interactive speed and scale for any type of data, wherever that data lies: Hadoop, non-Hadoop, on Premises, and in the Cloud.
“As customers embraced AtScale’s approach, the industry realized that enterprises were not buying BI the same way they had 20 years ago” says Jerry Yang, AME Cloud Ventures Founding Partner and co-founder of Yahoo! “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”.
The same goes for data access, integration and movement. Traditional approaches require that IT departments move disparate data into one centralized data warehouse or data marts, a legacy approach that has shown its limits by costing time, agility and money to organizations.
AtScale is the only industry solution that can apply its semantic model across Big Data, without data movement, whether it’s in Hadoop or not, whether it’s on-premises or in the Cloud.
Unlike legacy approaches, AtScale brings business users to the data rather than moving data into proprietary, purpose-built silos.
A Modern Framework for “Big Business Intelligence”
“The average BI platform company is 22 years old,” says Dave Mariani, CEO and co-founder at 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 indeed proposes a new way to frame people’s needs for insights on Big Data:
AtScale makes BI work on Big Data. With AtScale, business users get interactive and multi-dimensional analysis capabilities, directly on Big Data, at maximum speed, using the tools they already know, own and love – from Microsoft Excel to Tableau Software to QlikView. Built by Big Data veterans from Yahoo!, Google and Oracle, AtScale is already enabling the BI on Big Data revolution at major corporations across healthcare, telecommunications, retail and online industries. To see how AtScale can help you, go to www.atscale.com/try