AtScale is the business interface for BI on Hadoop. With AtScale business users get interactive and multi-dimensional analysis capabilities, directly on their data in Hortonworks HDP, at maximum speed, and using the BI tools they already own and know and love. IT gets the data security and governance they need, and business users get self-serve real-time access to data in Hadoop that looks like the familiar measures and hierarchies they know. With AtScale you can make BI work on Hadoop with speed, scale and simplicity.
AtScale bridges 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 the data stored within an enterprise goes unused.
Quickly and securely connect the valuable breadth of data in Hadoop with business users to take advantage of existing BI skills and tools.
AtScale is different because:
Play the data where it lays.
Hadoop is the world’s most scalable, open source MPP data platform. Why load data into expensive and proprietary database engines just so it can be queried? With AtScale, data stays right where it landed, eliminating the cost, latency and complexity that comes with moving data.
Any BI tool. Really!
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 Hadoop. Now business users can use the tools they already know and love on Hadoop.
Meeting the needs of IT and business users alike
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.
AtScale is installed on a single edge node and sits on your Hortonworks Data Platform cluster between your BI client applications and Hadoop.
AtScale uses standard interfaces such as ODBC, JDBC or OLE DB to interact with your many BI client tools. AtScale also uses various Hadoop services to optimize and execute BI queries directly on your Hortonworks cluster.
HDP - HDP Certified badge indicates this partner’s solution has been certified to work with HDP; reviewed for architectural best practices and validated against a comprehensive suite of integration test cases, benchmarked for scale under varied workloads and comprehensively documented.
Yarn Ready - Apache Hadoop YARN is the data operating system for Hadoop 2. YARN Ready certification recognizes applications that integrate with YARN and process data via pushdown computation to the cluster. Examples of a YARN ready solution includes an application that has native YARN application master or leverages scale-out capabilities of the platform like Hive, Spark and MR2.
Security Ready - Apache Hadoop is secured with a number of technologies, such as Kerberos, Apache Knox, and Apache Ranger. Security Ready certification recognizes applications that can integrate with Kerberos-enabled HDP cluster and supports HDFS encryption and user impersonation.