G2 Vendor Directory

DVC vs. Vertex Explainable AI

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

MetricDVC

by lakeFS

Vertex Explainable AI

by Google

Overall rating4.74.7
Review count1118
Ease of use7.39.3
Ease of setup7.19.4
Quality of support7.79.0
Meets requirements9.09.2
NPS90.90909194.444444
Small Business27.3%33.3%
Mid-Market54.5%33.3%
Enterprise18.2%33.3%
Total page views64170
Total LLM citations16568

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

    Vertex Explainable AI

    Understand AI output and build trust. Explainable AI is a set of tools and frameworks to help you understand and interpret predictions made by your machine learning models, natively integrated with a number of Google's products and services. With it, you can debug and improve model performance, and help others understand your models' behavior. You can also generate feature attributions for model predictions in AutoML Tables, BigQuery ML and Vertex AI, and visually investigate model behavior using the What-If Tool.

    Pros

    • Easy Integrations
    • Collaboration
    • Easy Access
    • Security Protection
    • Cost Saving
    • Data Management