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Big Squid and Snowflake Announce Advanced Integration: Partnership Sets Precedent on Ease-of-Use Automated Machine Learning for Data-Warehouse Users

Big Squid, the easy to use automated machine learning platform, and Snowflake Inc., the only data warehouse built for the cloud, today announced a partnership that features a native and fully supported integration of Snowflake to Big Squid's Kraken platform. The integration grants greater flexibility to augmented cloud data with predictions from automated machine learning for shared Snowflake and Big Squid customers. The partnership with Snowflake reveals Big Squid's ongoing commitment to democratizing data and making predictive analytics accessible in a variety of applications for a variety of users.

SALT LAKE CITY, May 1, 2019 /PRNewswire-PRWeb/ -- Big Squid, the easy to use automated machine learning platform, and Snowflake Inc., the only data warehouse built for the cloud, today announced a partnership that features a native and fully supported integration of Snowflake to Big Squid's Kraken platform. The integration grants greater flexibility to augmented cloud data with predictions from automated machine learning for shared Snowflake and Big Squid customers. The partnership with Snowflake reveals Big Squid's ongoing commitment to democratizing data and making predictive analytics accessible in a variety of applications for a variety of users.

"Kraken empowers business analysts and data scientists alike to bring machine learning into their workflows. Easily accessing the data they use day-to-day is critical," said Magnuson, Big Squid VP of Product. Of the partnership with Snowflake, he went on to say, "We are extremely excited to partner with such an innovative company. Cloud-based data warehouses are the future of business and Snowflake is doing amazing things in their space."

Kraken customers can already access data directly from many major data warehouses, data storage, and business intelligence platforms. This announcement continues to expand that roster to one of the fastest-growing and sought after cloud-based data warehousing technologies on the market.

Integration with Snowflake's cloud-built data warehouse makes it easy for users to build predictive models by reducing the number of steps required. Snowflake users can pull data directly from their Snowflake instance into Kraken, build a model, and then push those predictions back into Snowflake. Keeping the data centralized in the built-for-the-cloud data warehouse also diminishes the possibility of data corruption through multiple uploads and downloads across multiple applications.

"The Snowflake integration in Kraken allows our team to leverage our real-time warehouse data to make predictions faster, eliminating many manual steps, and opening the door to endless possibilities," said Ryan Thorpe, Senior Manager of Business Intelligence and Analytics at Womply.

Big Squid notes it already has many customers utilizing the integration between Kraken and Snowflake.

The Kraken and Snowflake integration enables shared users to:

  • Build predictions in Kraken with data sourced directly from Snowflake.
  • Push those predictions back into Snowflake.

Use Kraken to keep those predictions up to date as datasets are updated.
"Kraken's platform is accelerating predictive analytics and machine learning by giving business users and decision makers the power to build machine learning models with ease," Snowflake Vice President of Alliances, Walter Aldana said. "Snowflake was built to enable customers to derive immediate value from all their data by bypassing the challenges and costs associated with traditional on-premise and cloud-washed solutions. Together, Kraken and Snowflake deliver an ability to gain valuable insights into future trends, and then act with certainty, to make smarter decisions much faster."