AtScale Adaptive Analytics provides an agile approach to cloud data warehousing with Amazon Redshift that is optimized for a cloud-first or hybrid environment. Without moving data, you can use AtScale’s technology to turn Amazon Redshift or Amazon S3 data lakes into a scale-out OLAP server while providing live data access for BI tools like Excel, Tableau, PowerBI or Qlik.
With AtScale and Redshift, you can run live queries against raw data in S3 with consistent, interactive performance. AtScale’s Autonomous Data EngineeringTM automatically creates and manages aggregates in your Redshift cluster to deliver fast consistent performance.
AtScale’s Autonomous Data Engineering™ identifies scenarios and applies multiple strategies the way a world-class data engineering team would respond. The AI-driven optimizer learns from user behavior and data relationships to improve data agility, security and performance – which means no more manual data requirements. Using automated data lineage metadata, you can leave data updates and changes to AtScale and free up your data engineers to work on other projects.
Learn how AtScale improves the performance of business intelligence tools on Amazon Redshift and S3.DOWNLOAD NOW
See how AtScale creates a live connection between Amazon Redshift and BI tools like Tableau and Excel, without interrupting business users.WATCH NOW
In this cloud data warehouse benchmark analysis, we quantify vendor benefits for Amazon Redshift, both with and without AtScale.Download Now
Liberate your data with AtScale and AWS.