This page breaks down Axual 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 Axual’s overall reputation. This data-driven overview will show you exactly how Axual is rated - including how it compares to competitors.

Axual's Overall Rating Summary

  • Average Rating:4.2/5
  • Total Reviews:29 reviews
  • Sources:G2, Gartner
  • Last updated:September 1, 2025

Axual Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.5/5
14+ reviews07.07.25
Gartner logoGartner
4/5
15+ reviews07.07.25

What is Axual?

Axual Governance offers centralized governance and self-service for any Kafka, enabling organizations to scale development teams with built-in self-service, data governance, and security functionalities. The platform's graphical user interface allows teams to control clusters, topics, applications, and schemas from a central overview, creating a marketplace for events and accelerating production by 60-80%. Axual works with various Kafka providers, consolidating multiple clusters into one central Kafka, reducing costs by 40%, and ensuring regulatory compliance.

🤔 Axual vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How trustworthy is Axual?

According to G2 and Gartner review sites Axual holds ratings of 4.5/5 and 4/5 respectively from 29 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.

How many stars is Axual rated?

Axual has an average star rating of 4.2 out of 5 stars based on average of 29 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from Axual public reviews pages on platforms: G2, Gartner. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for Axual 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.