kamalakar r.
KR
DevOps Team Lead
Small-Business (50 or fewer emp.)
"Robust Message Tracking, Needs Better Observability"
4/5
What do you like best about meshIQ?

I like that with meshIQ, we can trace messages from producers to local consumers and see where it is still live or failing. It allows us to understand the journey of messages across Kafka topics and queues. This feature helps in visualizing message tracking and real-time flow, which is beneficial. Review collected by and hosted on G2.com.

What do you dislike about meshIQ?

meshIQ is not perfect in assessing observability; it requires understanding of the message flow, which can be challenging. The observability options seem slow for teams, especially with a new tool builder. Some aspects are dense and data-heavy, making it difficult. The setup isn't quick or easy, and becomes unmanageable if you're not familiar with the system. Integrating with Kafka clusters is also an area that could use improvement. Review collected by and hosted on G2.com.

Response from Arthur A. Abramov of meshIQ

Thank you so much for your feedback! We’re continuously improving both our UI and backend to simplify initial setup and configuration. You’ll be pleasantly surprised by our upcoming meshIQ Version 12.1 release, scheduled for Q1 2026.

In the meantime, we’re excited to introduce our new AI chatbot, now live in the Customer Resource Center. Simply open the Resource Center and click the chatbot in the bottom-left corner to start chatting.

Jimmy can help you:

Answer FAQs instantly

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4.6 out of 5 · Verified reviews from real users

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