Domino Data Lab Announces Investment From Snowflake to Deliver an End-to-End Enterprise Data Science Lifecycle Solution

Domino Data Lab, provider of an Enterprise MLOps platform, announced it is receiving an investment from Snowflake Ventures, the venture capital arm of Snowflake, the Data Cloud company, along with the introduction of Snowflake-powered capabilities in Domino 5.2. The announcement was made during the 2022 Snowflake Summit.

To co-develop deeper Domino-Snowflake product integrations available this month, Snowflake participated in Domino’s 2021 Series F round.

The availability of these newest integrations marks a new partnership phase for Domino and Snowflake, according to the vendors.

Through the power of Domino’s platform and Snowpark, the developer framework for Snowflake, the companies deliver an end-to-end enterprise data science lifecycle solution on one common data and deployment platform.

The partnership between Domino and Snowflake accelerates the MLOps lifecycle by automating non-data science tasks, eliminating workarounds caused by inflexible tools and complex processes, and avoiding DevOps tensions between IT and data scientists.

“Data science teams make a massive impact by focusing on building breakthrough models, not worrying about data and infrastructure,” said Nick Elprin, CEO and co-founder of Domino Data Lab. “Now, data scientists using Domino have the power of Snowflake’s world-class data platform at their fingertips, making it even faster to build, deploy, and monitor models. We’re proud of the partnership and excited about the future innovation these new integrations will unleash for our customers.”

Integrations with Snowflake’s Snowpark bridge the gap between data scientists, IT, and the business by allowing data engineers and data scientists to execute workloads directly on Snowflake as the common platform:

  • Accelerated model development with secure access to data in Snowflake’s Data Cloud using OAuth paired with scalable compute via Snowpark libraries.
  • Flexible model deployment using Snowflake for in-database computation—improve prediction response time for critical applications by deploying models and executing Python scoring code inside Snowflake Data Cloud.
  • Streamlined real-time model monitoring in Snowflake Data Cloud Environments with prediction data capture pipelines and monitoring for models deployed to Snowflake, to simplify model management by detecting data drift and model quality.

“We partner with and invest in companies committed to helping customers drive a competitive advantage by mobilizing data,” said Snowflake SVP of product Christian Kleinerman. “This investment with Domino solidifies our partnership and joint commitment to help our enterprise customers leverage the power of the Data Cloud through the adoption of machine learning models.”

These new features will be available this month.

For more information about this news, visit