AtScale came into being to bridge the gap between business users and their data.
The average enterprise sits on a mountain of data that business users could use to drive better performance. Unfortunately, most enterprises are not equipped to gain value out of their data: according to Forrester, close to 75% of data stored within an enterprise goes unused. Enterprises need ways to deliver data to business users with simplicity, speed and security.
Back in 2009 at Yahoo, AtScale’s founding team experienced this first hand, and witnessed the power and potential of Hadoop and Big Data. However, we struggled to make the data in Hadoop accessible to the business users who needed it. Tired of moving data into expensive, legacy databases, the AtScale team decided to build what they could not buy.
AtScale was built on the following core principles.
"A modern analytic platform standardizes on what’s important; an interactive business view of big data that any tool or application can access. In this regard, AtScale is ahead of the pack."
- Wayne Eckerson, Principal and Founder, Eckerson Group
You’ve invested in great BI tools. Your users should be able to leverage them for big data too. AtScale makes just about any BI tool scream on big data. Now business users can use the tools they already know and love on all their big data, on-prem or in the cloud.
So much data, so many places and so many BI tools. How can an enterprise deliver consistent and secure data to them all? AtScale’s virtual cubes deliver a single semantic layer, providing consistency, fast performance, and data governance regardless of the type of access.
You should never have to move data to make it available for analysis. Data marts and rigid transformation workflows reduce agility which can bury IT in weeks of data wrangling to make data available to business users. With AtScale you can leave the data in your Hadoop or data lake where it lies, and make new data and changes to data accessible to your users immediately with no extra effort.
AtScale is purpose-built for BI on big data and BI on Hadoop. It leverages the latest advancements in the Hadoop and broader big data ecosystem to support existing BI workloads.