The leading provider of semantic layer software for modern BI and data science teams.
Learn how you can architect a scalable self-service analytics strategy from industry veterans at Microsoft, Tyson Foods, and Gigaom.
What We Do
The AtScale semantic layer connects BI and AI tools to cloud data platforms.
Optimize upstream and downstream queries while exposing business-oriented data models that abstract complexity away from raw data.
Companies implement a semantic layer solution to make data, models, and analysis more accessible, consistent, and secure across the organization. It doesn’t matter the size of the dataset, where it lives, or how it’s formatted.
WORKING WITH DATA-DRIVEN TEAMS
“Running one query in general on Google BigQuery doesn’t cost a lot of money, but when you are talking about the amount of data users we have that are running queries concurrently, it’s important to run queries as efficiently as possible. AtScale helps us reduce the amount of processing in Google BigQuery which saves us money.”
“Tyson Foods leverages AtScale for OLAP use cases on Google Big Query across a number of the company’s mission-critical business functions. AtScale’s Cloud OLAP and Autonomous Data Engineering capabilities seamlessly deliver interactive query response times while minimizing load and improving concurrency across all of our operational data.”
“One of our top priorities was to have the ability to run rapid-fire, multi-dimensional analytics at large scale, directly from the BI tools our data users prefer. With AtScale, users can run live queries, straight to Google BigQuery at great speeds. It is not something that we saw anyone else able to deliver.”
“AtScale’s ability to automatically create and manage highly efficient aggregates is critical to our success. Before we had AtScale, query performance was too slow. To reach AtScale’s level of efficiency and speed, we would have needed to devote significant time and resources to building aggregates by hand.”
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Get an overview of their data & analytics journey and practical advice on building self-service, data-driven cultures that can scale.
Learn how data and analytics leaders at General Mills, EverQuote and Affinity Federal Credit Union are building a self-service, data-driven culture that scales on their cloud data platforms.
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Learn how data and analytics leaders at Cardinal Health, Wayfair, Slickdeals, and bol.com are scaling smarter decision-making across their organizations and making data more accessible as a strategic asset.
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