Scale
ITC Maratha, Mumbai
June 11, 2026
Kyvos semantic layer is now available for Snowflake customers enabling interactive analytics on massive volumes of data on the cloud
Los Gatos, May 28, 2020 – Kyvos, the industry-leading semantic layer, today announced their integration for Snowflake, a leading cloud data warehouse, with its latest release Kyvos 2020.2.
Kyvos semantic layer helps users perform multidimensional analytics on any scale of data on the cloud using any BI tool of their choice. Using its AI-powered smart aggregation technology, Kyvos delivers the speed-of-thought analytics needed to deal with massive data on the cloud. With support for all major cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, Kyvos helps enterprises scale out their business intelligence (BI) on the cloud while saving costs and without compromising on performance.
Kyvos’ integration with Snowflake will allow Snowflake users to build models on their data and perform complex, multidimensional analytics at a massive scale. They can visualize, explore, and analyze as much data on Snowflake as needed, across hundreds of dimensions and measures, and deep dive into the most granular details, all within seconds.
“We enable interactive, self-service analytics for enterprises with massive data on the cloud, and now deliver this capability with seamless integration for the Snowflake cloud data warehouse,” said Ajay Anand, Chief Product Officer at Kyvos. “We’ve seen enterprises moving towards the cloud rapidly, and we’re excited to bring this integration to help them accelerate analytics on massive data with Snowflake.”
Kyvos empowers users to transform their tabular data models on Snowflake to multidimensional models in the cloud. Users can now visually analyze any amount of data on their BI tool or data science application with SQL or MDX connectivity.
