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

KubeMQ's Overall Rating Summary

  • Average Rating:4.5/5
  • Total Reviews:12 reviews
  • Sources:G2
  • Last updated:September 1, 2025

KubeMQ Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.5/5
12+ reviews01.09.25

What is KubeMQ?

KubeMQ is a Kubernetes-native messaging platform offering a message broker and message queue that supports all messaging patterns, is scalable, highly available, and secure. It enables instant microservices connectivity using a rich set of connectors without requiring code, and simplifies deployment with easy-to-use SDKs and the elimination of predefined topics, channels, brokers, and routes. KubeMQ supports hybrid environments, allowing communication across clouds, on-premises, and edge, and provides portability between all deployments with features like bridging, replication, and aggregation of Kubernetes clusters.

🤔 KubeMQ vs Competitors: How Do Ratings Compare?

Check out KubeMQ Alternatives

Frequently Asked Questions

How trustworthy is KubeMQ?

According to G2 review site KubeMQ holds rating of 4.5/5, indicating that users consistently find value and reliability in the platform as of September 2025.

How many stars is KubeMQ rated?

KubeMQ has an average star rating of 4.5 out of 5 stars based on average of 12 reviews as of September 2025.

Where does the rating data come from?

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

How overall average rating for KubeMQ 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.