AtScale’s Cloud Data Warehouse Benchmark reports provide quantified results for query performance, user concurrency, compute costs, and semantic complexity. Download them to see how AtScale improves performance across all four measures for Amazon Redshift, Azure Databricks, Azure Synapse Analytics SQL, Google BigQuery, and Snowflake.
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, AtScale’s technology can turn Amazon Redshift or S3 data lakes into a scale-out Cloud OLAP server while providing live data access for BI tools like Excel, Tableau, or Power BI.
Microsoft Azure Databricks provides a fast, easy, and collaborative analytics and AI platform to accelerate and simplify the process of building Big Data and AI solutions. AtScale supports Azure Databricks so that you can perform self-service analytics and collaborate effectively on shared BI, AI, and machine learning projects.
AtScale provides 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.
AtScale turns Google BigQuery into a massively parallel, multidimensional powerhouse. Together, AtScale and Google BigQuery provide an analytics solution that includes a Universal Semantic Layer, predictable performance, data governance and security all in one.
With Snowflake’s cloud data warehouse, you can concentrate on solving business problems rather than managing your data warehouse. AtScale does the same for your BI infrastructure. Together, we deliver uncompromising simplicity for all your data analysis.
