G2 Vendor Directory

KNIME vs. Azure Machine Learning

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

MetricKNIME

by KNIME

Azure Machine Learning

by Microsoft

Overall rating4.54.3
Review count12790
Ease of use8.88.7
Ease of setup8.88.6
Quality of support8.68.8
Meets requirements8.98.7
NPS6848.275862
Small Business27.6%33.3%
Mid-Market29.1%26.7%
Enterprise43.3%40.0%
Total page views1,057239
Total LLM citations8,0881,035

KNIME

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

Pros

  • Ease of Use
  • Ease of Learning
  • Learning
  • Coding Ease
  • Graphical Visualization
  • Easy Integrations

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