G2 Vendor Directory

Amazon SageMaker vs. Roboflow

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

MetricAmazon SageMaker

by Amazon Web Services (AWS)

Roboflow

by Roboflow

Overall rating4.34.7
Review count57160
Ease of use8.69.4
Ease of setup8.69.3
Quality of support8.99.0
Meets requirements8.99.2
NPS46.29629686.875
Small Business30.9%77.5%
Mid-Market34.5%13.8%
Enterprise34.5%8.8%
Total page views4014,410
Total LLM citations1,60630,407

Amazon SageMaker

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment.

Pros

  • Ease of Use
  • Implementation Ease
  • Model Management
  • Time-Saving
  • Features
  • Fast Processing

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