AtScale Achieves Amazon Redshift Ready Designation

AtScale, the leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced that it has achieved the Amazon Redshift Ready designation, part of the Amazon Web Services (AWS) Service Ready Program. This designation recognizes that AtScale has demonstrated successful integration with Amazon Redshift.

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“AtScale is a powerful solution for Amazon Redshift customers that are looking to pair the agility, breadth of services, and pace of innovation that AWS provides with the ability of our semantic layer to simplify data access and improve enterprise BI and AI programs”

Achieving the Amazon Redshift Ready designation differentiates AtScale as an AWS Partner Network (APN) member with a fully supported product integrating with Amazon Redshift. AWS Service Ready Partners have demonstrated success building products integrated with AWS services, helping AWS customers evaluate and use their technology productively, at scale, and at varying levels of complexity.

“AtScale is a powerful solution for Amazon Redshift customers that are looking to pair the agility, breadth of services, and pace of innovation that AWS provides with the ability of our semantic layer to simplify data access and improve enterprise BI and AI programs,” said David Mariani, Chief Technology Officer and Founder at AtScale. “We’re thrilled to achieve AWS Service Ready status.”

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To support the seamless integration and deployment of these solutions, AWS established the AWS Service Ready Program to help customers identify products integrated with AWS and spend less time evaluating new tools, and more time scaling their use of products that are integrated with AWS.

Organizations that use AtScale to establish a semantic layer on Amazon Redshift can help drive self-service data access while ensuring high performance query performance for analytics applications. As a single source of governed metrics and drill-down dimensions, AtScale supports live access to Redshift data with common BI tools including Tableau, Power BI, Excel, and Looker. Data Science users leverage AtScale AI-Link to connect AutoML platforms and ML models to Redshift data with Python scripts.

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