Machine Learning & Data Science

Also referred to as advanced analytics, artificial intelligence (AI), and “Big Data”, machine learning and data science cover a broad category of vendors, tools, and technologies that provide advanced capabilities for statistical and predictive modeling.

These tools and technologies often share some overlapping features and functionality with BI tools; however, they focus less on analyzing/reporting past data. Instead, they focus on examining large data sets to discover patterns and uncover useful business information that can be used to predict future trends.

Snowflake is known to inter-operate with the following machine learning and data science platforms and technologies:


Version / Installation Requirements


Amazon SageMaker

  • Amazon SageMaker: No requirements

  • Snowflake: No requirements

Big Squid

  • Big Squid: No requirements

  • Snowflake: No requirements


  • Databricks: Runtime 4.2

  • Snowflake: No requirements


  • Dataiku: DSS

  • Snowflake: No requirements


Available in Partner Connect

  • DataRobot: No requirements

  • Snowflake: No requirements


  • Domino: 3.6 (or higher)

  • Snowflake: See the Domino documentation for requirements

  • Driverless AI 1.4.2 (or higher)

  • Snowflake: No requirements

Pyramid Analytics

  • Pyramid: 2018

  • Snowflake: No requirements


  • Qubole: Enterprise Edition

  • Snowflake: No requirements

R Language dplyr


Apache Spark


Available in Partner Connect