G2 Vendor Directory

Azure Machine Learning vs. Roboflow

A side-by-side comparison based on G2 review data.

MetricAzure Machine Learning

by Microsoft

Roboflow

by Roboflow

Overall rating4.34.7
Review count90160
Ease of use8.79.4
Ease of setup8.69.3
Quality of support8.89.0
Meets requirements8.79.2
NPS48.27586286.875
Small Business33.3%77.5%
Mid-Market26.7%13.8%
Enterprise40.0%8.8%
Total page views2394,410
Total LLM citations1,03530,407

Azure Machine Learning

Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces.

Pros

  • Features
  • Ease of Use
  • Customer Support
  • Data Management
  • Implementation Ease
  • Efficiency

Roboflow

Roboflow has everything you need to build and deploy computer vision applications. Over 1,000,000 users from businesses of every size — from startups to public companies — use the company's end-to-end platform for image and video collection, organization, annotation, preprocessing, model training, and deployment. Roboflow provides tools for each step in the computer vision deployment lifecycle and integrates with your existing solutions so you can tailor your pipeline to meet your needs.

Pros

  • Ease of Use
  • Efficiency
  • Annotation Efficiency
  • Data Labelling
  • Features
  • Data Management