AtScale partners with the best technology companies, solution providers, and resellers to help our customers unleash the power of data for analytics.
AtScale is proud to partner with leading technology providers. Working together, we are helping our customers unleash the power of data analytics.
AtScale 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 Cloud OLAP server while providing live data access for BI tools like Excel, Tableau, Power BI or Qlik.
Easily find, prepare, govern, and protect data of any size and velocity. Guarantee
more pervasive and trusted analytics to deliver scale-out BI and data science on
the Cloudera Data Platform. Open up the enterprise data cloud for high speed, interactive analysis without moving data.
Turn Google BigQuery into a massively parallel, multi-dimensional powerhouse
with AtScale Adaptive Analytics. Working together, AtScale and Google provide a
cost-effective, fast analytics solution that includes a Universal Semantic LayerTM,predictable performance, data governance and data
Get a live, direct connection to data on Azure Synapse without the need for data imports or ETL. Business users can explore their data with the power of OLAP using AtScale’s native PowerBI MDX connector whether data is in a database, data lake or the cloud.
Take full advantage of the Snowflake cloud data warehouse to unleash the true value of your data. Use AtScale Adaptive Analytics to query live data that is accessed securely for data visualization, reporting, or data science at lightning speed. AtScale delivers an MDX interface directly on Snowflake without moving any data or ETL.
Remove the barriers to data access and collaboration. Make Tableau an OLAP powerhouse capable of computing the most complex calculations server-side. Open up new workloads for BI and AI because AtScale Adaptive Analytics (A3) feeds live data instead of pre-aggregated data extracts.