AtScale & Amazon RedShift: Cloud Data Warehouse

Learn how AtScale and Amazon Data Exchange are partnering to make it easier to integrate 3rd party data products into your analytics program.

On-Demand Webinar

AtScale + Amazon Redshift

AtScale helps data teams build a semantic layer for data and analytics that simplifies and accelerates business intelligence and data science programs on Amazon Redshift

Self-Service, Multi-Dimensional Analytics

Deliver high-performance access to live cloud data on Amazon Redshift. 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.

AtScale AI-Link

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 while optimizing cloud resource consumption.

Accelerate Performance

Accelerate dimensional analytics performance with intelligent aggregates

Reduce Cloud Costs

Optimize cloud resource consumption with automated resource orchestration

Remove Complexity

Simplify query design and eliminate time-consuming data engineering

Benchmarks

Choose your Analysis Platform

Use the AtScale semantic layer to connect live Amazon data to analysis tools of your choice including Power BI, Tableau, Looker, Excel, and Jupyter Notebooks.