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Jeremy Douglas
Real User
Senior BI and Reporting Analyst at a financial services firm with 10,001+ employees
Feb 22 2018

What is most valuable?

The GUI interface is nice and easy to use. The only complaint is around the organization of the icons as they are not saved across users. All the items are grouped together and you have to separate them.

How has it helped my organization?

The product had many issues. We had great collaboration with the product development team, but the product was not able to meet our 10 second refresh requirements.

What needs improvement?

The aggregations were not always being picked up by Tableau. There was also an issue with the incremental aggregation not working as indicated.


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AtScale Questions

What is AtScale?

With AtScale, you can query data in-place where it lands in your Big Data Lake or Hadoop cluster, without additional data movement, but with OLAP and your BI tool of choice.

Drive Hadoop adoption for your business

With AtScale, I.T. can give business analysts to direct and efficient access the valuable data in your Hadoop or other Data Lake, all while preserving the control, security, and responsiveness of your existing big data platform.

  • Dynamic Cubes ensure consistency and control
  • Support for any Hadoop distribution
  • Smart Aggregations dramatically increase query throughput
  • Support for SQL or MDX over ODBC, JDBC, or OLE DB
  • Zero-footprint install + no data movement = reduced complexity

Simplify Big Data access for BI users

AtScale turns your Big Data Lake or Hadoop cluster into scaled-out analytical server. Now you can use your BI tool of choice – from Tableau to Microstrategy to Microsoft Excel – to connect directly and query data in Hadoop or other Data Lake, with speed, security and simplicity. 

  • Virtual cubes present complex data as simple hierarchies measures and dimensions
  • Works with virtually any BI tool that can talk SQL or MDX
  • Analyze billions of rows of data directly on your Hadoop cluster
  • Eliminate need for costly data marts, extracts, and custom cubes
  • Consistent data definitions across all BI tools mean consistent answers across users
AtScale customers

Cloudera, Wargaming, eBates, AltiScale

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