AtScale + Databricks

Learn how AtScale enables Databricks customers to build high-performance, self-serve BI and analytics programs

AtScale + Databricks

AtScale + Databricks

AtScale helps data teams build a semantic layer for data and analytics that simplifies and accelerates business intelligence and data science programs on a Databricks Lakehouse.

Self Service, Multi Dimensional Analytics

Self-Service, Multi-Dimensional Analytics

Deliver high-performance access to live cloud data on Databricks. Establish a single source of enterprise metrics accessible from any BI tool. Modernize legacy analytics with a full dimensional analysis engine on live data with no data extracts.

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Operationalize Data Science Models

Use AI-Link to bridge data from AtScale semantic models to AI/ML models. Accelerate feature engineering by expanding data sets and maintaining a governed set of time-relative measures. Publish model results back to the business for consumption in any BI tool.

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Operationalize Data Science Models

Automate Data Engineering

AtScale’s AI-driven resource orchestration intelligently manages aggregates and data movement to deliver speed-of-thought analytics performance on massive cloud data sets, all while optimizing cloud resource consumption.

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Accelerate Performance

Accelerate dimensional analytics performance with intelligent aggregates

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Reduce Cloud Costs

Optimize cloud resource consumption with automated resource orchestration

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Remove Complexity

Simplify query design and eliminate time-consuming data engineering

Choose your Analysis Platform

Use the AtScale semantic layer to connect live Databricks Lakehouse data to analysis tools of your choice including Power BITableau, LookerExcel, and Jupyter Notebooks.


Learn more about the power of AtScale + Databricks.

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Solution Brief

Building a Semantic Lakehouse with AtScale and Databricks

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On-Demand Webinar

How to Use a Data Lakehouse for AI & BI at Scale

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