BENCHMARK REPORT AtScale Cloud Data Warehouse Benchmark: Amazon Redshift

ATSCALE AND AMAZON WEB SERVICES

Liberate Your Data with AtScale and AWS

Modernize Your Data Architecture

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 you can:

Accelerate data-driven decisions at scale
Control cost complexity & cost of analytics
Get one-consistent view of business metrics & drivers
Mitigate risks associated with data & analytics

MAKE S3 AND THE AWS DATA LAKE WORK LIKE A DATA WAREHOUSE

With AtScale and Redshift, you can run live queries against raw data in S3 with consistent, interactive performance. AtScale’s Autonomous Data Engineering^TM automatically creates and manages aggregates in your Redshift cluster to deliver fast consistent performance.

FREE UP YOUR DATA ENGINEERS TO WORK ON OTHER PROJECTS

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.