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Amazon Q vs Honeycomb Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon Q
Ranking in AI Code Assistants
1st
Average Rating
8.2
Reviews Sentiment
3.6
Number of Reviews
19
Ranking in other categories
No ranking in other categories
Honeycomb Enterprise
Ranking in AI Code Assistants
11th
Average Rating
8.0
Reviews Sentiment
5.4
Number of Reviews
3
Ranking in other categories
Application Performance Monitoring (APM) and Observability (25th)
 

Featured Reviews

Jayesh Patil - PeerSpot reviewer
Connectors and guardrails facilitate question-answer setups effectively
There isn't such an issue we have faced with Amazon Q regarding speed increasing. Syncing and indexing takes a lot of time, and they need to improve upon that. Remaining everything is good for us, and that is also acceptable as we can set it as a nightly job. Once it's done, it takes around one hour max for any number of documents. We were trying to address specific issues and challenges by implementing Amazon Q in our environment because currently, they don't provide any APIs directly. We find it difficult to integrate with our product. The second challenge is while connecting Jira, we need the ACLs to maintain our security, but it doesn't allow us to connect to Jira if our ACLs are on. We need to turn them off to connect to it. Even though we connected with the support team of AWS, they were not able to resolve our issue, so we were disappointed at that moment. As a part of improvement, we don't see any improvement areas for Amazon Q at present. We first need to test that we can integrate it with our product. We need the APIs before we can suggest improvements.
meetharoon - PeerSpot reviewer
Its pattern-matching and code transformation capabilities can be adapted for mass identification and remediation of vulnerable libraries
I asked very specific questions to Mr. Pell about consideration of code security scenarios in pattern design and rules, specifically that tuned with OWASP Top 10. I believe addition of code security focus can be a value-add, though the way Grit architecture is designed and how it works, it is and may not become an alternative choice of code security solutions. Rather, it must be treated as a powerful supplementary tool that augments the existing code security solutions (such as Snyk or Checkmarx) in a DevSecOps or Secure DevOps environment. Anyone interested in learning more on this front or have queries, can get in touch with me for a consulting.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The best feature of Amazon Q is the voice chat, where it talks back to you in normal language and you can query it."
"The benefits of Amazon Q are that you don't need to build any code base at the backend to develop your RAG system or AI LLM-based summarization systems to do question-answer sets on the documents."
"Once the configuration is complete, users can manage all Kubernetes clusters using Amazon Q prompt, and when checking pods in the Kubernetes cluster, there is no need to use commands as users can simply write a prompt like 'Please show me the Kubernetes pods and namespace and all,' and Amazon Q automatically provides all the required details."
"The best feature Amazon Q offers is the code security scan, which actually depicts the threat assessment of the code or whether a particular code snippet can be utilized by attackers to find loopholes."
"Amazon Q saved my time more than other products, such as GitHub Copilot, because it is conscious about particular AWS services."
"What I find best about Amazon Q is that I have used multiple AI tools such as Copilot and earlier Chat GPT, and I think that, apart from the other tools, Amazon Q has an edge because if I want to run any command, such as scanning my whole database and checking schemas, it can generate the command and ask for permission whether I want to execute it."
"Amazon Q significantly reduced the time we spent on testing; it served as a great tool where we could ask questions, get answers, and complete testing efficiently."
"The best feature of Amazon Q is that it has knowledge of my entire code base, entire repository, and its flows."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
"The approach offers significant benefits in terms of efficiency, consistency, and proactive security management, particularly valuable for organizations with large, distributed development teams."
"The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing."
 

Cons

"I discovered that the application logs me out automatically after some time, which becomes problematic as I then lose access to my chat history."
"One most important improvement would be having deeper domain-specific intelligence for Amazon Q."
"While great for standard tasks, it sometimes struggles with more complex or multi-layered problems in large code bases."
"If I start with a prompt in one tab and then try to continue in another, it does not retain that context."
"Even though we connected with the support team of AWS, they were not able to resolve our issue, so we were disappointed at that moment."
"The model is not able to give answers properly with the traffic it is facing, so it needs to be scaled more."
"While using Amazon Q, I faced some challenges, such as navigating the interface initially."
"If I start with a prompt in one tab and then try to continue in another, it does not retain that context."
"The way Grit architecture is designed and how it works, it is and may not become an alternative choice of code security solutions."
"We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced."
"The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
10%
Manufacturing Company
8%
Performing Arts
6%
Computer Software Company
15%
Financial Services Firm
14%
Comms Service Provider
8%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise12
No data available
 

Questions from the Community

What needs improvement with Amazon Q?
One most important improvement would be having deeper domain-specific intelligence for Amazon Q. While it can pull enterprise data sources, adding more domain-tuned models, for example in pharma, w...
What is your primary use case for Amazon Q?
My main use case for Amazon Q is primarily focused on business perspectives. I was able to do a Q&A sort of interaction. If I simply asked what the revenue was for this quarter, Amazon Q was ab...
What advice do you have for others considering Amazon Q?
My advice for others looking into using Amazon Q is that we should start small because we have to understand how exactly it works. Take a small use case, such as documentation or a codebase review....
What needs improvement with Honeycomb.io?
We faced some OpenTelemetry metrics lost between the communication from the service and the Honeycomb.io. I can't say if this is a Honeycomb.io issue or if there are some limitations in OpenTelemet...
What is your primary use case for Honeycomb.io?
The solution is mainly used for stack observability. It observes service behavior or any kind of failure that may be happening. The tool is also related to research. My company is working more on t...
What advice do you have for others considering Honeycomb.io?
We set up Honeycomb.io on all the services so that we can have all the set traces of the communication between all the services inside the company. This helps us understand where it could be failin...
 

Comparisons

 

Also Known As

No data available
Grit
 

Overview

 

Sample Customers

Information Not Available
Clover Health, Eaze, Intercom, Fender
Find out what your peers are saying about Amazon Q vs. Honeycomb Enterprise and other solutions. Updated: September 2025.
869,202 professionals have used our research since 2012.