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AtScale
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AtScale

Overview
Synopsis

With AtScale, business users get interactive and multi-dimensional analysis capabilities, directly on Hadoop, at maximum speed, using the tools they already know, own and love – from Microsoft Excel to Tableau Software to QlikView.

Category

Business Intelligence

Sub Category

Hadoop Analytics Platform

Company

AtScale

PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.2
7.2
Features & Functionality
7.5
6.9
Advanced Features
7.5
6.7
Integration
7.5
6.5
Performance
7.5
6.5
Training
5.0
Customer Support
7.5
7.3
Implementation
6.1
Renew & Recommend
5.6
Bottom Line

AtScale is an OLAP engine purpose-built for Hadoop. It leverages the latest advancements in the Hadoop ecosystem to support existing BI workloads. Multiple SQL-on-Hadoop Engine Support, Access Data Where it Lays, Built-in Support for Complex Data Types and Single Drop-in Gateway Node Deployment.

7.5
Editor Rating
6.4
Aggregated User Rating
14 ratings
You have rated this

With AtScale, business users get interactive and multi-dimensional analysis capabilities, directly on Hadoop, at maximum speed, using the tools they already know, own and love – from Microsoft Excel to Tableau Software to QlikView. Dynamic Cubes reduce the complexity of traditional approaches by eliminating the need for data movement or tool-specific data structures and the SQL and MDX-compliant interface allows business users to leverage their existing BI tools while providing direct, secure, and interactive access to data on Hadoop.

AtScale is an OLAP engine purpose-built for Hadoop. It leverages the latest advancements in the Hadoop ecosystem to support existing BI workloads. Multiple SQL-on-Hadoop Engine Support, Access Data Where it Lays, Built-in Support for Complex Data Types and Single Drop-in Gateway Node Deployment.

AtScale takes the pain out of OLAP by automatically generating and maintaining aggregate tables. It uses advanced machine-learning algorithms to optimize BI query workloads on-demand, and delivers the performance that users have come to expect from their legacy OLAP systems.

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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
Renew & Recommend

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