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Hortonworks Partner
Hortonworks Certified MDS ISV/IHV Partner

AtScale – Make BI Work on Apache Hadoop®

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.

What AtScale Does

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.

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The AtScale Difference

AtScale is different because:

  • Query Data Where it Lays – Eliminate cost, latency, and complexity of repeated data movement
  • Use Your BI Tool of Choice – Leverage existing BI tool investment together with modern innovations like your Hortonworks Data Platform (HDP)
  • Simplify Semantic Layer – Optimize your queries with a consistent, secure view of data definitions across BI tools, languages and Hadoop engines

Analyze Data Directly in Hadoop

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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.

  • Leverage Hadoop’s Open Source SQL on Hadoop engines
  • Transform Hadoop’s complex data types into measures and dimensions
  • Eliminate cube building with AtScale’s Virtual Cubes

Your BI Tool. Your Choice.

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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.

  • Support any BI tool that can speak SQL or MDX
  • Provide your Excel users with live access to the data in Hadoop
  • Eliminate costly data marts and data extracts

One Semantic Layer

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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.

  • Web based, one-stop collaborative cube design and library
  • Dynamic performance management using the AtScale Adaptive Cache
  • Full OLAP functionality for modeling your business

AtScale Architecture

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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.


Learn more about AtScale

HDP Certifications

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.