Request A Demo | AtScale

Learn how Snowflake, Databricks, Amazon Redshift, Microsoft Azure, Google BigQuery and InterSystems perform running large-scale analytics with and without a semantic layer at scale.

Schedule a live demo to learn more about:

What a semantic layer is and why would you want one
How using a semantic layer impacts cloud data warehouse performance and cost
Why your semantic layer should be independent of your BI tools and data platform
Where a semantic layer fits in your data & analytics stack

Learn how a semantic layer

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Decouples the analytics consumption layer from the cloud data layer

Delivers a business-oriented model of cloud (and multi-cloud) data sources

Presents a consistent view for BI and Data Science teams to consume with tools of their choice

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Manages and optimizes analytics performance on cloud data

WORKING WITH DATA-DRIVEN TEAMS

“Data and analytics leaders must adopt a semantic layer approach to their company data assets or face losing the battle for competitive advantage.”

Guido De Simoni

Senior Analyst, Gartner

Start Building with the Developer Edition

Build and share semantic models with the community