G2 Vendor Directory

Azure Machine Learning vs. Cloudera

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

MetricAzure Machine Learning

by Microsoft

Cloudera

by Cloudera

Overall rating4.34.2
Review count90205
Ease of use8.78.6
Ease of setup8.68.4
Quality of support8.88.4
Meets requirements8.78.9
NPS48.27586245.641026
Small Business33.3%34.3%
Mid-Market26.7%27.5%
Enterprise40.0%38.2%
Total page views239964
Total LLM citations1,0351,693

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

Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights.

Pros

  • Ease of Use
  • Scalability
  • Security
  • Features
  • Performance
  • Data Management