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September 5, 2019

The Massive Risk of Lock-In: How Wall Street Future-Proofs their Move to the Public Cloud

Emerging cloud security risks are causing fear among executives. What is at stake? Matthew Baird, Co-founder and CTO of AtScale shares insights.

insideBigData
September 5, 2019
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September 3, 2019

Why Google BigQuery excels at BI on big data concurrency

If you’re trying to do business intelligence (BI) on big data and the capability to handle large number of concurrent queries is a key issue for you, Google BigQuery may well be the way to go, according to a new Business Intelligence Benchmark released Thursday by AtScale, a startup specializing in helping organizations enable BI on big data. AtScale’s benchmark found concurrency to be BigQuery’s greatest strength - with a nice user experience to boot.

IT News UG
September 3, 2019
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August 15, 2019

What you need to know about Cloudera vs. AWS for big data

Cloudera merged with fellow big data management vendor Hortonworks in January 2019 and partnered with IBM in June 2019. AtScale's Chief Strategy Officer Dave Mariani weighs in on this evolution and what it means for a potential AWS face-off.

SearchAWS
August 15, 2019
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August 7, 2019

Don’t move the data: Virtual warehouse 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.

siliconANGLE
August 7, 2019
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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.

AtScale
August 6, 2019
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August 6, 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.

SearchCloudComputing
August 6, 2019
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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.

HelpNet Security
July 31, 2019
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July 31, 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.

The New Stack
July 31, 2019
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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.

CMSWire
July 18, 2019
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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.

AtScale
July 17, 2019
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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.

SearchBusinessAnalytics
July 17, 2019
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July 17, 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.

ZDNet
July 17, 2019
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July 12, 2019

Intelligent Data Virtualization and Freedom of Choice for Data Scientists

The proliferation of BI tools presents organizations with a challenge: each business unit may have selected and implemented its own favorite. This is layered on top of the technical barriers involving legacy data silos, security, data governance . The answer is for companies to let end-users choose the BI tool they prefer, and then make it possible for all these tools to connect to the necessary data.

EnterpriseAI
July 12, 2019
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July 10, 2019

The insideBIGDATA IMPACT 50 List for Q3 2019

We're proud to see AtScale on the list of the industry's most impactful companies! The insideBIGDATA IMPACT 50 list is made up of companies who have proven their relevance by the way they’re impacting the enterprise through leading edge products and services.

insideBIGDATA
July 10, 2019
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July 9, 2019

“Not Good at Analytics, Not Ready for AI” and Other Good Advice from a CTO

Leapfrogging analytics basics and ignoring automation is a sure route to ruin. This article covers these and other real-life suggestions for success from AtScale's CTO Matt Baird, a Silicon Valley veteran.

RTInsights
July 9, 2019
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July 3, 2019

Celebrating Data Independence

A look at how organizations can achieve data independence (being able to do what they want with their data seamlessly), with insights from AtScale's CEO Chris Lynch: “You can’t have big data unless you have all the data."

Datanami
July 3, 2019
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June 24, 2019

Hitting the Reset Button on Hadoop

The consensus seems to be this: Hadoop isn’t dead, and companies should be looking at it, but for what it can do and not to solve all of their problems. Chris Lynch, CEO of AtScale, says the future is all about managing data in a hybrid manner, split between multiple clouds and on-prem.

Datanami
June 24, 2019
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June 13, 2019

AtScale: Setting big data in motion by leaving it where it is

There’s always the next vendor with a tool for extracting and moving data from one repository to another. Then there’s AtScale, with software that seeks to break the data pipeline mold, replacing it with a way to semantically accelerate the use of active data sources without requiring the typical migration process.

Intellyx
June 13, 2019
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June 13, 2019

Big Data Meltdown: How Unclean, Unlabeled, and Poorly Managed Data Dooms AI

AtScale's CEO Chris Lynch weighs in on the importance of focusing on the data and not getting sidetracked by promises of new AI technology, following the release of a recent study that says the lack of clean, well-managed, and labeled data is a major impediment for enterprises getting value out of AI.

Datanami
June 13, 2019
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June 12, 2019

Data Warehouse Virtualization Leader AtScale Surpasses 125 Percent Growth in First Quarter of Fiscal Year 2019

Capitalizing on Market Demand for Data Warehouse Virtualization, Company Appoints Former Storage VP from Citrix to Drive Global Engineering

AtScale
June 12, 2019
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