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:

Solution

Version / Installation Requirements

Alteryx

Amazon SageMaker

  • Amazon SageMaker: No requirements

  • Snowflake: No requirements

Big Squid

  • Big Squid: No requirements

  • Snowflake: No requirements

Databricks

  • Databricks: Runtime 4.2

  • Snowflake: No requirements

Dataiku

  • Dataiku: DSS

  • Snowflake: No requirements

DataRobot

Available in Partner Connect

  • DataRobot: No requirements

  • Snowflake: No requirements

Domino

  • Domino: 3.6 (or higher)

  • Snowflake: See the Domino documentation for requirements

H2O.ai

  • H2O.ai: Driverless AI 1.4.2 (or higher)

  • Snowflake: No requirements

Pyramid Analytics

  • Pyramid: 2018

  • Snowflake: No requirements

Qubole

  • Qubole: Enterprise Edition

  • Snowflake: No requirements

R Language dplyr

SAS

Apache Spark

Zepl

Available in Partner Connect