AtScale announced that it had recently secured $50 million in Series D funding led by Morgan Stanley in association with Storm Ventures, Atlantic Bridge, and Wells Fargo. AtScale is one of the leading firms in the $122 billion data warehouse visualization market. It has recently moved into high-scale cloud database services and it has active partnerships with Cloudera, Microsoft, and Oracle.
Mike Wheatley reported on AtScale for SiliconAngle:
The funding is a significant validation of AtScale’s technology, which serves as an abstraction layer for Hadoop clusters and other back-end data stores such as Snowflake, Google BigQuery, Amazon Redshift and Microsoft Azure SQL Data Warehouse. AtScale’s platform makes these data stores more easily accessible to a range of business intelligence applications such as Excel spreadsheets and Tableau Software Inc.’s visualization tools, without the need for complicated extract, transform and load procedures.
Essentially, what AtScale does is it makes it easy for companies to tap into massive data lakes and warehouses, which are repositories of structured and unstructured data typically used for business analysis, and gather insights from this information.
With AtScale, companies can build analytics models that connect any supported BI tool to any of the above data stores. AtScale also boosts the performance of these tools with its Adaptive Cache query acceleration technology, which is able to analyze query patterns in real-time to optimize responses.
It works by intercepting queries and rewriting them to a common metadata repository that includes a semantic model, governance rules and a data lineage map. The Adaptive Cache creates summary tables, and machine learning algorithms generate “smart aggregations” that anticipate future queries based upon historical activity.
