Azure Batch Ratings (September 2025)
This page breaks down Azure Batch 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 Batch’s overall reputation. This data-driven overview will show you exactly how Azure Batch is rated - including how it compares to competitors.
Azure Batch's Overall Rating Summary
- Average Rating:2.6/5
- Total Reviews:72 reviews
- Sources:G2, Trustradius, Trustpilot
- Last updated:September 1, 2025
Azure Batch Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4/5 | 20+ reviews | 01.09.25 |
 Trustradius | 4.3/5 | 10+ reviews | 23.09.24 |
 Trustpilot | 1.6/5 | 42+ reviews | 01.09.25 |
What is Azure Batch?
Azure Batch offers cloud-scale job scheduling and compute management, allowing users to scale to tens, hundreds, or thousands of virtual machines, stage data, and execute compute pipelines with autoscaling capabilities. It supports both Linux and Windows environments, enabling users to run large-scale jobs using existing code or Docker containers, and provides SDKs for various development tools including Python and Java. Batch also features a high-scale job scheduling engine, manages compute resources dynamically, and offers per-second billing with no upfront costs or termination fees.
🤔 Azure Batch vs Competitors: How Do Ratings Compare?
Check out Azure Batch AlternativesFrequently Asked Questions
How many stars is Azure Batch rated?
Azure Batch has an average star rating of 2.6 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 Batch 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 Batch 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.