AtScale delivers BI on Hadoop
Use your existing visualization tools to connect to and interactively query Hadoop-scale data setsGet Started
"AtScale’s no-ETL and no-data movement approach is simply a game-changer. This application should be required for anyone who wants to do BI on Hadoop."- Kevin Johnson, CEO, eBates
Our novel approach to BI 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' approach are significant: BI agility is significantly enhanced. Operational cost and complexity is reduced. Data 'freshness' is dramatically increased.
The AtScale Intelligence Platform supports BI on Hadoop by providing native support 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 data consumers.
The AtScale engine has built-in intelligence that uses dynamic cube definitions and user query patterns to create smart aggregations that deliver interactive query performance on Hadoop data. The AtScale engine supports robust set of rules and algorithms that keep cubes up to date while preserving a performance profile that supports interactive analysis.
AtScale supports all the major Hadoop Distributions - Cloudera, Hortonworks, and MapR, and is available through our cloud partner, AltiScale. Additionally, AtScale can work natively with the top SQL-on-Hadoop engines - Impala, SparkSQL, and Hive-Tez.