Cloud OLAP (COLAP) enables sub-second, multidimensional analysis with popular BI tools on a modern cloud architecture.
AtScale is the first and only provider to take a new approach to interact with today’s massive data volume on the cloud, empowering BI users to directly query large datasets stored in their cloud data warehouse without unnecessary data movement.
AtScale Cloud OLAP makes data ready for analysis with no data movement or precomputation – eliminating the cost and bottlenecks associated with traditional OLAP solutions.
We agree. Your father’s traditional OLAP is dead.
Business analysts want to slice and dice data, at scale, without having to wait days or weeks for traditional OLAP cubes to build. The business doesn’t care which cloud data warehouse the data is stored in. They care about being able to drill down into data within seconds. With Cloud OLAP both IT and the business can finally have their cake and eat it too.
Create virtual analytics cubes on top of Amazon Redshift, Azure Synapse Analytics, Google BigQuery, Snowflake and other cloud data warehouses quickly, easily and securely.
Enforce existing data security policies already in place. Eliminate data extracts and data movement to ensure data remains secure.
Cloud OLAP enables performant, ad-hoc “what-if” analysis capabilities across your BI tools without the time-consuming data engineering work needed to deliver analytics through cloud data marts.
Connect live to data for “speed-of-thought” query responses for your BI and AI analytics initiatives and let your team drill down and iterate quickly.
AtScale’s Cloud OLAP is used by some of the largest companies to help realize three main business objectives: driving revenue, decreasing costs associated with analytics and mitigating the risks associated with analytics. Here are some examples of how our customers leverage AtScale to realize their positive business objectives.
AtScale’s Universal Semantic Layer™ ensures that every BI tool is analyzing the same exact data, resulting in consistent metrics that are confidently used for making enterprise decisions without costly KPI reconciliation.
Autonomous Data Engineering™ is used by organizations to reduce cloud compute costs by 50-90%, delivering the savings that were expected to be gained by moving to the cloud in the first place – and more accurate forecasting of cloud costs moving forward.
Reduce the manual tasks associated with delivering data for the business by orders of magnitude, creating a force multiplier for data engineering teams. Teams are now able to deliver data for analysis that meets and exceeds SLAs while reducing the demand to hire additional expensive resources.
Cloud OLAP includes all of the power of traditional OLAP analysis without the baggage. AtScale’s Cloud OLAP delivers improved query performance, consistent semantic definitions, live connections to data and self-serve analytics for your business users.
AtScale uses Autonomous Data Engineering to build, manage and maintain intelligent data structures. Queries scan these structures rather than a full table, reducing both query time and cost.
AtScale’s Universal Semantic Layer provides consistent data definitions that can be consumed through a live connection by any supported BI tool (including Microsoft Excel). The result is consistent KPIs across BI tools for confident decision-making.
AtScale’s drag-and-drop data modeling lets you ask new questions of the data without dependence on IT. Business users can quickly and easily publish new dimensions, measures and hierarchies and begin querying the data instantaneously.
AtScale’s Cloud OLAP virtually defines measures, hierarchies and dimensions for what-if, drill-down analysis on top of your cloud and on-premises data platforms including Amazon Redshift, Azure Synapse Analytics, SQL Server, Google BigQuery, Snowflake, Hadoop, Oracle, Teradata and more. Now analysts can keep the MDX performance they love and analyze today’s massive datasets in the cloud.
AtScale provides access to live data on Amazon Redshift and S3 – quickly, easily and securely – for analytics and business intelligence.
Learn MoreAtScale and Google BigQuery together provide a cost effective, business friendly analytics solution that includes a Universal Semantic Layer, predictable performance, data governance and security all in one.
Learn MoreAlong with Microsoft Power BI and the Microsoft Azure cloud, AtScale and Microsoft together deliver a complete self service analytics powerhouse on-premise and in the cloud.
Learn MoreAtScale lets you leverage your Snowflake cloud data warehouse and query live data that is accessed securely for data visualization, reporting, or data science at lightning speed.
Learn More“We leverage AtScale for OLAP use cases on Google Big Query for a number of our mission-critical business functions. AtScale’s Cloud OLAP and Autonomous Data Engineering™ capabilities deliver interactive query response times while minimizing load and improving concurrency across all of our operational data.” — Chad Wahlquist, Director of Data Strategy and Technology, Tyson Foods.
Fortune 50 DIY retailer optimizes a cloud data platform to increase ROI per analysis.
Toyota leverages AtScale, accelerating time-to-insight from weeks to minutes.
Fortune 100 industrial conglomerate embraces the cloud without business disruption.
Learn how AtScale provides a Cloud OLAP (COLAP) solution that involves hosting an OLAP server on a Cloud platform.
DOWNLOAD NOWAtScale 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 NOWLearn how AtScale allows you to scale up and modernize your OLAP infrastructure and while keeping the multidimensional functionality you love.
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