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.

The following machine learning and data science platforms and technologies are known to provide native connectivity to Snowflake:


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


Available in Partner Connect


Available in Partner Connect

  • DataRobot: No requirements

  • Snowflake: No requirements


  • Domino: 3.6 (or higher)

  • Snowflake: See the Domino documentation for requirements

Available in Partner Connect

  • Driverless AI 1.4.2 (or higher)

  • Snowflake: No requirements


  • Qubole: Enterprise Edition

  • Snowflake: No requirements

R Language dplyr


Apache Spark


Available in Partner Connect