AtScale introduced integration with Snowflake’s Snowpark Java UDFs. Snowpark allows AtScale to execute superior analytic capabilities inside the Snowflake Information Cloud, additional optimizing complicated evaluation, question efficiency and useful resource consumption, leading to unparalleled ROI.
This preliminary integration supplies a basis for embedding extra, high-value providers inside the Snowflake Information Cloud.
The AtScale semantic layer supplies BI analysts and information scientists with a business-oriented, virtualized view of information inside cloud information platforms that may be accessed by way of purposes like PowerBI, Excel, Tableau and DataRobot.
As organizations speed up migrations to the Snowflake Information Cloud, the flexibility for BI and information science groups to take care of constant logical views and excessive efficiency entry is important.
AtScale and Snowflake are a confirmed mixture in manufacturing with main enterprise organizations globally. Now with Snowpark and Java UDFs, AtScale can execute complicated, useful resource intensive dimensional evaluation natively inside the Snowflake Information Cloud, delivering optimum efficiency and useful resource utilization. AtScale’s preliminary implementation consists of:
- Pushdown calculation of semi-additive and non-additive metrics, together with distinct counts and quantiles, at 10x efficiency
- Translation of BI question protocols, together with MDX, DAX, and SQL, to queries pushed right down to Snowflake with no information extraction or motion
- Dynamically producing clever aggregations with computerized question routing – enabling self-optimizing question efficiency
“AtScale shields information customers from the complexity of uncooked information and provides them the flexibility to entry information with the instruments of their selection,” mentioned Scott Howser, Chief Buyer Officer at AtScale. “Snowpark lets us improve our prospects’ expertise, delivering accelerated question efficiency and higher scalability for enterprise intelligence and information science groups engaged on the Snowflake Information Cloud.”
“We see prospects leaning on AtScale’s semantic layer to leverage Snowflake’s platform for dimensional evaluation,” mentioned Tarik Dwiek, Director of Tech Alliances at Snowflake. “With AtScale’s use of Snowpark’s Java UDFs, our joint-customers will leverage extra of Snowflake’s capabilities and see elevated efficiency for his or her superior analytics workloads.”