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Introduction

AtScale is leveraging the interactive SQL capabilities being offered by Hadoop vendors to provide OLAP views, making the platform resemble a large data warehouse.

Highlights

  • AtScale provides an alternative for customers seeking to combine the economies of scale of Hadoop with the performance levels of traditional SQL data marts.

Features and Benefits

  • Analyzes AtScale's technology approach to scaling OLAP cubes on Hadoop.
  • Discusses how AtScale's OLAP-on-Hadoop technology complements emerging SQL-on-Hadoop technologies from Hadoop platform vendors.

Key questions answered

  • How could Hadoop be used to overcome the scaling limitations of OLAP?
  • In a mature product segment, why should enterprises consider buying a new OLAP engine?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put AtScale on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Further reading
  • Author

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