G2 Vendor Directory

Liminal AI vs. Azure Machine Learning

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

MetricLiminal AI

by Liminal

Azure Machine Learning

by Microsoft

Overall rating4.24.3
Review count2590
Ease of use8.38.7
Ease of setup8.78.6
Quality of support8.28.8
Meets requirements8.78.7
NPS41.66666748.275862
Small Business56.0%33.3%
Mid-Market44.0%26.7%
Enterprise0.0%40.0%
Total page views158239
Total LLM citations101,035

Liminal AI

Liminal is the way enterprises securely run AI. Liminal is a secure AI enablement platform that acts as a central hub for organizations to safely access and administer AI. Employees get unlimited access to the latest models from every leading provider through a single platform. Security and compliance teams get policy enforcement, data protection, and complete visibility into every interaction.

Pros

    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