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PRESS & NEWS

What people are saying about us.

November 7, 2019

AtScale Teams up With Snowflake and Rakuten for Webinar on Cloud Analytics

Adaptive Analytics Fabric Leader Discusses Best Practices for Enabling Organizations to Derive Company Insights From Data Faster and More Securely

October 30, 2019

AtScale Named the Best Big Data Analytics Platform by the 2019 Tech Ascension Awards

BOSTON – October 31, 2019 – AtScale, provider of the adaptive analytics fabric, today announced the AtScale A3 Platform has been recognized as the Best Big Data Analytics Platform by the 2019 Tech Ascension Awards.

October 25, 2019

How Will Data Warehousing Evolve With Cloud Technology?

The question "How Will Data Warehousing Evolve With Cloud Technology?" was recently answered on Quora by Chris Lynch, AtScale's Executive Chairman & CEO. Chris discusses the shift from on-premises data warehousing to cloud-based solutions, the increased use of the cloud file system as a data lake, and how enterprises should plan to adopt a data architecture that will insulate them from data being housed in SaaS vendor clouds.

October 25, 2019

The Next Frontier for Big Data: Why Data Analytics is Moving Away from Centralized Systems

AtScale Co-founder & CTO Matt Baird explains why previous data lake technologies, including platforms built on Hadoop, have largely failed to scale and provide performant analytics due to their centralized, monolithic architectures - and how new adaptive analytics fabrics enable agile analytics by combining intelligent data virtualization and autonomous data engineering.

October 24, 2019

What Do We Misunderstand About How Data Is Stored?

The question "What are some common misconceptions that people have about storing data?" originally appeared on Quora in a Q&A session with AtScale's CEO Chris Lynch. This in-depth answer covers differentiating between data storage with data preparation, the need to modernize analytics architecture, and the benefits of simplifying data models to free up resources to focus on decision-making.

October 16, 2019

AtScale Moves up on The insideBIGDATA IMPACT 50 List for Q4 2019

AtScale is proud to be recognized and moving up as an impactful organization in the Big Data space in insideBIGDATA’s Impact50 List. AtScale is dedicated to bringing the power of adaptive analytics to build modernized, insight-driven enterprises throughout the globe.

October 15, 2019

AIOps for Hybrid Multi-Cloud Working Group to Demonstrate Multi-Domain Data Virtualization Framework at ONUG Fall 2019 in NYC

AtScale's Founder & Chief Strategy Officer Dave Mariani on his participation at the ONUG Fall 2019 event with a focus on AIOps: "The ONUG AIOps initiative addresses one of the most vexing challenges in IT operations", the application of Artificial Intelligence (AI) to overcome the operational challenges of ensuring application performance in complex hybrid multi-cloud environments. ONUG is a user-driven community of top enterprise technology leaders who tackle challenges in the design/ build/security/management of tomorrow’s infrastructure.

October 7, 2019

Adaptive Analytics Leader, AtScale, Names Dustin Webber Chief Security Officer

Cloud Security Visionary, Founder of Critical Stack and Threat Stack Will Help AtScale Expand Presence Across Fortune 2000 Enterprises, and Enhance Product Offerings

October 1, 2019

Bimodal analytics: What modern DataOps teams need to know when choosing their analytics platform mix

AtScale's Founder & Chief Strategy Officer Dave Mariani shares what BI and DataOps teams need to know when leveraging analytics technologies in their organizations.

September 27, 2019

3 big data security challenges

AtScale's Founder & Chief Strategy Officer Dave Mariani weighs in on top Big Data security challenges, giving insight on determining access privileges.

September 25, 2019

Paving the Way for DataOps

DataOps needs to be standard practice at any insights-driven business, but there are a number of technical hurdles that prevent companies from fully implementing a DataOps culture. AtScale's Founder & Chief Strategy Officer Dave Mariani outlines how to overcome these hurdles to let DataOps thrive in your organization and start leveraging a shared data intellect across teams.

August 7, 2019

Don’t move the data: Intelligent data virtualization democratizes dispersed data access

Chris Lynch, AtScale's CEO, spoke with Dave Vellante and Paul Gillin, co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the MIT CDOIQ Symposium in Cambridge, Massachusetts. They discussed AtScale’s promise of providing single API access for data analysis, eliminating the business intelligence bottleneck.

August 7, 2019

BigQuery updates highlight AI push, but work remains

AtScale Co-founder and CTO Matt Baird weighs in on Google's latest round of updates to BigQuery.

August 7, 2019

AtScale Adds Time Series to Its Big Data Capabilities

In its bid to make data more easily accessible even across multiple databases and clouds, data virtualization vendor AtScale recently added time-series analysis capabilities. It’s part of the industry trend toward creating “fit for purpose” processing and analysis of Big Data rather than a one-size-fits-all approach. AtScale's Co-Founder and CTO Matt Baird shares insights on the important shift from performance to agility.

August 6, 2019

AtScale Expands into Asia Pacific Region with New Partnership to Accelerate Cloud Data Transformation for Global Enterprises

AtScale’s Data Warehouse Virtualization Platform and intelia Partner to Accelerate Cloud Data Transformation for Global Enterprises in Australia.

July 31, 2019

Orchestrating security policies across your hybrid cloud with intelligent data virtualization

As new, data-intensive systems are spun up to keep pace with business needs, maintaining security and data governance is becoming a top concern. AtScale's Chief Strategy Officer and Co-founder Dave Mariani, explains how intelligent data virtualization, a suite of technologies used to provide cloud data transformation of siloed data, is also an ideal solution for orchestrating security policies across the hybrid cloud.

July 18, 2019

What the Oracle-Microsoft Cloud Partnership Really Means

At the beginning of July, Microsoft and Oracle announced that they were creating a cloud interoperability partnership. It’s not the only cloud partnership that has been announced in recent weeks and months. Taken together, At the beginning of July, Microsoft and Oracle announced that they were creating a cloud interoperability partnership they all add up to fundamental changes in the cloud space and, ultimately, the way organizations work. We will be taking a deeper dive into the cloud space soon, but with Microsoft and Oracle now together at least in this respect, understanding this partnership is a good indication of future moves and trends.

July 18, 2019

The data and AI market landscape 2019: The next wave of hybrid emerges

It’s now data, not big data, and the landscape is no longer complete without AI. There's a wave of consolidation in the BI space which raises the question, will there be a new generation of AI? This article does a deep dive into the AI landscape, and includes AtScale as part of the ecosystem.

July 17, 2019

Updated AtScale platform streamlines analysis of big data

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. By improving the machine learning and augmented intelligence capabilities of its platform, AtScale's newest release attempts to speed data querying.

July 17, 2019

Enterprise Data Virtualization Leader AtScale Adds Sophisticated Time-Series Analysis with 2019.2 Platform Release

July 17, 2019: AtScale, the data warehouse virtualization company, today announced its new 2019.2 platform release. The latest release augments AtScale’s autonomous data engineering innovations with the introduction of a sophisticated time-series and time-relative analysis capability for large volumes of data across disparate databases and platforms. This new capability enables data analyst and data science teams to have unencumbered access to large volumes of dispersed operational time-series data. Data consumers can quickly query and configure data for their specific business definitions using the business intelligence (BI), artificial intelligence (AI) or machine learning (ML) tools of their choice.