Azure Lab Services Ratings (September 2025)
This page breaks down Azure Lab Services ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Azure Lab Services’s overall reputation. This data-driven overview will show you exactly how Azure Lab Services is rated - including how it compares to competitors.
Azure Lab Services's Overall Rating Summary
- Average Rating:3.1/5
- Total Reviews:72 reviews
- Sources:G2, Trustradius, Trustpilot
- Last updated:September 1, 2025
Azure Lab Services Ratings by Source
Platform | Rating | Reviews | Last Update |
---|---|---|---|
![]() | 4.4/5 | 28+ reviews | 01.09.25 |
![]() | 4.5/5 | 8+ reviews | 01.09.25 |
![]() | 1.7/5 | 36+ reviews | 04.05.25 |
What is Azure Lab Services?
Azure Lab Services allows users to set up virtual labs for classes, training, hackathons, and other scenarios, providing on-demand or scheduled access to preconfigured virtual machines. Key features include custom templates for quick provisioning, scheduling for automatic shutdowns and start times, and the ability to scale to hundreds of virtual machines. The service also offers cost management with usage-control features and comprehensive security, with no need for users to share an Azure subscription.
🤔 Azure Lab Services vs Competitors: How Do Ratings Compare?
Check out Azure Lab Services AlternativesFrequently Asked Questions
How many stars is Azure Lab Services rated?
Azure Lab Services has an average star rating of 3.1 out of 5 stars based on average of 72 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Azure Lab Services public reviews pages on platforms: G2, Trustradius, Trustpilot. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Azure Lab Services is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.