Upcoming offer to bring faster-time-to-insight and production-ready business intelligence capabilities to the AWS Cloud platform
Las Vegas, NV, November 29, 2017 — AtScale announced today the preview availability of its universal semantic platform for business intelligence (BI) on Amazon Redshift. With this offer, enterprises will gain faster time to insight by deploying Big Data Analytics on the Amazon Cloud and benefit from an enhanced ROI by running production-ready workloads on the cost-effective Amazon cloud platform.
AtScale will also be featured at Amazon re:Invent this week, the conference hosted by Amazon Web Services for the global cloud computing community.
To find out more, go to http://www.atscale.com/redshift.
A Commitment to the AWS Cloud Platform
AtScale counts some of the largest enterprises in the world as customers, many of which have created Big Data Lakes on the Amazon Cloud platform. Amazon EMR (Elastic MapReduce) was one of the first Hadoop-as-a-Service cloud environments AtScale supported as Matt Baird, co-founder and CTO at AtScale, remembers:
“Our vision has always been to remain agnostic to where the data is stored. We work with Hadoop in the cloud exactly the same way we work with Hadoop on premises. We’ve worked with Amazon EMR since day one because we’ve found that the platform’s reliability and flexibility were great assets to enterprises’ I.T. departments.”
The Hadoop-as-a-Service market has witnessed tremendous growth and market leader AWS continues to grow more rapidly than the overall market. Amazon is taking on a dominant role in the enterprise analytics arsenal and market leaders like AtScale are deepening their integration with the Amazon stack.
Beyond Hadoop in the Cloud
AWS EMR is often used as a Hadoop Data Lake, hosting large-scale transformation and processing tasks. To support long-lasting analytical workloads in the cloud, Amazon customers often deploy the Amazon Redshift platform for data warehousing workloads. Now, with data in the EMR Data Lake and the Redshift data warehouse, enterprises need a universal semantic layer that empowers user query and data analysis with best-in-class experience.
AtScale’s upcoming support will let Amazon customers benefit from the affordability, scalability and flexibility of the AWS Cloud platform while enabling enterprise Business Intelligence capabilities whether data is stored in EMR, Redshift or even on-premise.
AtScale already provides support of all on-premises Hadoop distributions and recently announced support for the Google and the Microsoft Clouds. With the added support for the Amazon Cloud, AtScale is the only company that makes enterprises “future-proof” for their Big Data analytics investments across on-premise and multi-cloud Data Lakes.
“The enterprise reality is a hybrid one,” says David Menninger. “Our Data and Analytics in the Cloud benchmark research shows 44% of participants processing a hybrid of cloud and on-premises data. AtScale’s vision to provide analysis on data wherever it resides, aligns well with enterprise requirements and is reflected in its customers’ deployments.”
The AtScale Universal Semantic Layer for Amazon Redshift brings 3 key innovations to cloud users:
By deploying AtScale on Amazon Redshift, enterprises can finally benefit from a highly secure, open and advanced platform for BI on Big Data on premise and in the Cloud. To find out more about how AtScale works, simply go to http://www.atscale.com/redshift
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 your company, go to www.atscale.com/why-atscale