BOSTON–(BUSINESS WIRE)–AtScale, the leading provider of intelligent data virtualization, today announced a partnership with DataRobot, the leading enterprise AI platform, to deliver a turnkey approach to predictive and descriptive data analysis. The partnership builds a bridge between data science and business intelligence to incorporate and share the same KPIs used for predictive and prescriptive business decisions.

“We are thrilled to partner with DataRobot to accelerate our go-to-market within the data science community. DataRobot’s vision for maximizing business value via AI is unparalleled, and the combination of our capabilities is another step toward democratization of predictive and prescriptive analytics,” said Christopher Lynch, executive chairman and CEO, AtScale.

Organizations globally are moving AI predictions into day-to-day business operations. The combination of DataRobot and AtScale provides a consumable enterprise metrics hub with consistent, governed KPIs and a simplified interface for automated feature creation utilizing DataRobot’s Feature Importance and Impact functionality. AtScale uniquely makes DataRobot predictions consumable to business intelligence and reporting workstreams, providing both technical and non-technical stakeholders access to predictions using the tool of their choice.

“Our global market presence and diverse customer base continue to highlight the need for greater unity between the data science and business intelligence communities,” said Jeremy Achin, co-founder and CEO, DataRobot. “AtScale’s intelligent data virtualization adds a new business constituency in the enterprise who can incorporate AI predictions for operational decision making.”

About AtScale
AtScale powers the analysis used by the Global 2000 to make million dollar business decisions. The company’s Intelligent Data Virtualization platform provides organizations the opportunity to enhance or create a self service data culture by leveraging its business-friendly semantic layer, intelligent data engineering, easy-to-use web-based design interface, multi-cloud support, and strong data source and client integration.

Learn more about why AtScale is a leader for enterprises to deliver fast, accurate data-driven business intelligence and machine learning analysis at scale in GigaOm’s Data Virtualization Radar Report. For more information, visit www.atscale.com, and connect with us on Twitter, and LinkedIn.

About DataRobot
DataRobot is the leader in enterprise AI, delivering trusted AI technology and enablement services to global enterprises competing in today’s Intelligence Revolution. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting-edge software and world-class AI implementation, training, and support services, empowers any organization – regardless of size, industry, or resources – to drive better business outcomes with AI.

DataRobot has offices across the globe and funding from some of the world’s best investing firms including Alliance Bernstein, Altimeter, B Capital Group, Cisco, Citi Ventures, ClearBridge, DFJ Growth, Geodesic Capital, Glynn Capital, Intel Capital, Meritech, NEA, Salesforce Ventures, Sands Capital, Sapphire Ventures, Silver Lake Waterman, Snowflake Ventures, Tiger Global, T. Rowe Price, and World Innovation Lab. DataRobot was named to the Forbes 2020 Cloud 100 list and the Forbes 2019 and 2020 Most Promising AI Companies lists, and was named a Leader in the IDC MarketScape: Worldwide Advanced Machine Learning Software Platforms Vendor Assessment. For more information visit www.datarobot.com, and join the conversation on the DataRobot Community, More Intelligent Tomorrow podcast, Twitter, and LinkedIn.

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The latest AtScale platform update, released Wednesday, aims to simplify data searches and speed up the process of data analysis.

With the rollout of its 2019.2 platform, AtScale is attempting to make accessing and analyzing big data simpler and faster across both different databases and business intelligence platforms.

AtScale is a data virtualization warehouse vendor that was founded in 2013. The AtScale platform serves as a conduit between data lakes and other data sources such as Teradata, Oracle, Snowflake, Redshift, BigQuery, Greenplum and Postgres, and data analysts doing BI on platforms from Microsoft, Tableau, Qlik and other vendors.

In addition to faster performance, key components of the updated AtScale platform include augmented semantic intelligence in time-series  and time-relative analysis, and stronger security, particularly for Tableau Server Impersonation.

Using machine learning and augmented intelligence capabilities, the AtScale platform is now able to query data and receive the relevant information in just seconds, according to the vendor.

“AtScale offers an important technology capability,” said Boris Evelson, an analyst at Forrester. “With information stored in data lakes, and BI platforms existing outside those data lakes, AtScale connects the two. AtScale is bringing the BI to the data.”

He added, “It is definitely a trend to bring BI to where the data is.”

Bringing BI to the data fast is where the new AtScale platform looks to improve over previous iterations.

With the latest AtScale platform, Matthew Baird, co-founder and chief technology officer of AtScale, said enterprises using effectively structured queries can reduce query time from 30 minutes using traditional cloud data warehouses to less than 10 seconds.

“At AtScale we’re trying to be really smart about how we structure the query,” Baird said.

That, he said, comes down to the algorithms AtScale uses and the quality of its ML and AI capabilities.

Baird, who noted the need for trained data analysts far exceeds the number of data analysts available, said AtScale is trying to put the capabilities of what would be a data engineering team in the AtScale platform.

“When a query comes in, the team in the server can make decisions, and it can rewrite the query as needed,” he said.

The newest AtScale platform update comes just six weeks after the company released version 2019.1, which expanded support for cloud data transformation for on-premises, hybrid cloud and multi-cloud users.

Dave Menninger, senior vice president at Ventana Research, noted that while sometimes viewed in the same category as cloud data warehouses such as Snowflake and Google BigQuery, the AtScale platform builds out from what enterprises already have stored in the cloud.

AtScale “focuses on creating and managing the metadata needed to access and optimize queries of large and diverse data sources,” Menninger said.

Meanwhile, Wayne Eckerson, president of The Eckerson Group, said AtScale is finding its place as a platform that supports any and all databases and BI technologies and will provide their users with the same view of business data.

AtScale’s focus on the universal semantic layer – a means of abstracting and simplifying complex data into common business terms – is a good position for AtScale because all BI vendors can support a semantic layer, Eckerson said.

That, according to Baird, has been a significant attraction for customers.

“We’re seeing customers say they’re on a journey from a bunch of data sources to a single source of truth, and you guys can do that,” Baird said.

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