The venture capital arm of the data cloud company Snowflake has announced that it has invested in the Series F of Enterprise MLOps platform Domino Data Lab. The latter also revealed the presence of Snowflake-powered capabilities in Domino 5.2.
The investment on behalf of Snowflake Ventures will allow both the companies to co-develop deeper Domino-Snowflake product integrations. Through the power of Domino’s platform and Snowpark, the developer framework for Snowflake, the companies will be able to deliver an end-to-end enterprise data-science lifecycle solution on a single shared data and deployment platform.
With Domino, data science teams can easily embed model-driven applications throughout the enterprise, thus leveraging Snowflake’s Data Cloud. The partnership between Domino and Snowflake boosts the MLOps lifecycle by eliminating workarounds caused by inflexible tools and complex processes, automating non-data science tasks, and avoiding DevOps tensions between IT and data scientists.
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Luca Foschini, Chief Data Scientist at Evidation, said that Domino and Snowflake enable their data science team to connect to person-generated health data (PGHD) seamlessly and prototype rapidly within a secure environment.
The partnership has strengthened Domino’s position as the industry’s most open and flexible Enterprise MLOps platform. This is due to the exceptional capabilities across each stage of the MLOps life cycle.
Integrating Snowpark will bridge the gap between IT, data scientists, and the business by allowing direct execution on Snowflake as the common platform. The new features will be available this month.
Christian Kleinerman, Snowflake SVP of Product, said that the investment with Domino solidifies their partnership and joint commitment to help the enterprise customers leverage the power of the Data Cloud through the adoption of machine learning models.
