BI ON HADOOP
BI ON HADOOP
AtScale is armed with advanced analytics capabilities for the most complex BI needs.
Use your existing visualization tools to connect to and interactively query Hadoop-scale data sets
Our novel approach to business intelligence on Hadoop accesses data as it has been written, directly on the Hadoop cluster, instead of taking it out of the Hadoop cluster and persisting it in a different system for consumption. The results of this type of query-in-place integration are significant: BI agility is significantly enhanced. Operational cost and complexity are reduced. Data freshness is dramatically increased.
The AtScale Intelligence Platform supports Business Intelligence on Hadoop by providing native support and integration for the most widely-adopted BI and visualization tools in today’s enterprises - tools like Tableau, Qlik, Spotfire, and Microsoft Excel. AtScale dynamic cubes integrate nicely with their existing BI tools while also providing a layer of governance to ensure standardization of business logic across big data consumers.
Enable business analysis at the speed of thought and eliminate useless ETL.
Define business metrics in one place to deliver consistent operational reporting.
AtScale’s virtualized OLAP engine turns complex data into friendly terms using concepts like dimensions, measures, hierarchies and cross tabs.
Since you don’t need to move data with AtScale, you can dramatically reduce your time to insight from weeks to minutes.
To make queries lightning fast, AtScale’s Adaptive Cache uses machine learning to automatically tune performance and deliver scale.
AtScale supports all the major Hadoop tools - Cloudera, Hortonworks, MapR, and Microsoft Azure HDInsight. Additionally, AtScale can work natively with the top SQL-on-Hadoop engines - Impala, SparkSQL, and Hive-Tez.