G2 Vendor Directory

DVC vs. Azure Machine Learning

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

MetricDVC

by lakeFS

Azure Machine Learning

by Microsoft

Overall rating4.74.3
Review count1190
Ease of use7.38.7
Ease of setup7.18.6
Quality of support7.78.8
Meets requirements9.08.7
NPS90.90909148.275862
Small Business27.3%33.3%
Mid-Market54.5%26.7%
Enterprise18.2%40.0%
Total page views64239
Total LLM citations1651,035

DVC

DVC is an open-source, Git-based data science tool. Apply version control to machine learning development, make your repo the backbone of your project, and instill best practices across your team. Find more info at: https://dvc.org DVC has introduced a new open source tool for AI Data Analytics and Actionable GenAI Insights, that can curate vast amounts of unstructured data.

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