The multidimensional engine that delivers complex analytics at scale.
AtScale re-invented the OLAP engine from the ground up. AtScale’s unique “just in time” approach delivers maximum speed and
scalability with the computational flexibility you need to answer all your business questions.
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.
Upgrade to a modern BI platform with support for time-based calculations, hierarchies, semi-additive metrics, multi-level measures, many-to-many relationships, and more.
Move beyond simple sums, averages, and counts to large scale distinct counts and quantiles using AtScale’s built-in support for HLL++ sketch sets.
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.
Video: Building Business Centric Data Models
Learn how to use the AtScale Design Center to create and manage virtual OLAP cubes.
AtScale Office Hours Webinar: Data Modeling in AtScale
Learn how AtScale enables enterprises to realize the potential of OLAP.
White Paper: AtScale Technical Overview
Learn how the AtScale Design Center works with other parts of AtScale’s Adaptive Analytics Fabric such as the Universal Semantic Layer and accelerated structures.