The IT Evaluation Guide for Domino’s Data Science Platform


Knowing that models cannot be managed like software or data, Domino was specifically designed with data science workflows in mind while addressing the challenges of all the platform's users across the organization. This paper highlights how Domino data science platform addresses some of the most important topics assessed during an evaluation of a data science platform solutions.

What’s inside:

What is Domino?

Supporting the Data Science Lifecycle

  • Access to Scalable Compute and Data
  • Model Development
  • Model Delivery

Governance, Infrastructure Monitoring, and Guardrails

  • Infrastructure Monitoring, and Guardrails
  • Project and Data Access
  • Software Environment Management
  • Model Authorization


  • Security Functionality
  • Security for Cloud and VPC deployments
  • Employee Security Policies and Procedures
  • Developing Secure Software at Domino

Get the IT Evaluation Guide

Latest resources


451 Research Report - Domino Data Adds Model Management Framework to Data Science Platform


A Data Science Playbook for Explainable ML/AI


A Framework to Build a Model-Driven Business


Accelerate Adoption of SAS Data Science Use Cases in the Cloud Using Domino

Make Your Business Model-Driven

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