Leverage SQL Server Analysis Services (SSAS) on any data lake or data warehouse
without moving data or building physical cubes.
AtScale re-invented the OLAP engine from the ground up. AtScale leverages the computation power of your underlying data lake and data warehouse. Don’t worry about scaling your cubing infrastructure. AtScale scales with your data platform because we don’t ingest data or build physical cubes.
Find the needle in the haystack by drilling to the atomic, raw data with AtScale’s automatic data lineage and no data movement architecture.
AtScale optimizes queries, on any data platform, to automatically deliver the fastest query response time while minimizing load and improving concurrency.
Get a headstart on your modernization efforts by leveraging AtScale’s SSAS XMLA cube importer to create an AtScale Virtual Cube instantly on top of Snowflake, Google BigQuery, Amazon Redshift, Hadoop, Oracle, Teradata and more. Keep the same great SSAS MDX power but with a platform built for today’s data types and scale.
AtScale looks exactly like SSAS to Excel so you can connect any Excel client to AtScale using the built-in SSAS drivers that ship with Excel. No need to install client-side drivers.
AtScale works with Tableau in tabular (SQL) mode in addition to MDX mode so you are not limited to OLAP functionality in Tableau. Let your users enjoy Tableau the way it was meant to be used.
AtScale’s Intelligent Data Virtualization technology means no cube builds or stale data. Access data with a “live” connection to your data lake or data warehouse so you can instantly expose new data and new data sources without delay or complicated modeling.
AtScale is built for collaboration and object sharing. Gone are the days where only one developer can work on a cube at a time. With AtScale’s web-based design experience, you can create and edit dimensions, calculations and measures and share those with your teammates in real time.
Easily manipulate your cube, validate your model, and explore data in the easiest and most powerful data modeler.
Automatically extract the business logic from your BI dashboard data models and create a unified semantic layer that works for all BI tools.
Toyota had thousands of BI analysts on their IoT and Finance teams using Tableau and Power BI. As part of the move to a Cloudera data lake on Hadoop, they wanted to provide a single set of business definitions across this user constituency.
Toyota’s data modelers used AtScale’s Adaptive Analytics Fabric to craft virtual cubes that could be easily accessed by analysts in Tableau and Power BI, and that could scale as data grew without the need for complex manual cube rebuilds.
Read this solution sheet to learn how AtScale allows you to scale up and modernize your OLAP infrastructure and while keeping the multidimensional functionality you love.DOWNLOAD NOW
In this post, AtScale founder and CSO, Dave Mariani discusses his “relationship” with OLAP and SQL Server Analysis Services (SSAS) and how it drove him to create AtScale.READ NOW
Join AtScale Founder and CSO, Dave Mariani, as he demonstrates how AtScale’s Adaptive Analytics scales and modernizes your OLAP infrastructure.WATCH NOW