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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
4th
Average Rating
8.2
Reviews Sentiment
2.1
Number of Reviews
16
Ranking in other categories
No ranking in other categories
Honeycomb Enterprise
Ranking in AI Code Assistants
11th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
2
Ranking in other categories
Application Performance Monitoring (APM) and Observability (27th)
 

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.
Diego Gomes De Lima - PeerSpot reviewer
Easy to use and the dashboard is very intuitive
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 OpenTelemetry. Alerts are very helpful in Honeycomb.io, but we don't usually merge because we can compare queries with queries for making alerts. We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced.

Quotes from Members

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

Pros

"Amazon Q saved my time more than other products, such as GitHub Copilot, because it is conscious about particular AWS services."
"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 explanation and documentation capabilities are excellent."
"The support team from Amazon provides comfort because previously we used to think and implement, which took considerable time, and now we can complete our projects and requirements in three months or two months."
"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 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 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."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
"The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing."
 

Cons

"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."
"While great for standard tasks, it sometimes struggles with more complex or multi-layered problems in large code bases."
"The model is not able to give answers properly with the traffic it is facing, so it needs to be scaled more."
"Sometimes feedback is needed immediately. It takes a bit of time because there is a workload."
"I discovered that the application logs me out automatically after some time, which becomes problematic as I then lose access to my chat history."
"The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."
"We can make alerts based on static numbers, which may block us from building alerts that could be generic enough or could be serviced."
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Top Industries

By visitors reading reviews
Computer Software Company
19%
Financial Services Firm
10%
Manufacturing Company
7%
Comms Service Provider
6%
Computer Software Company
17%
Financial Services Firm
13%
Manufacturing Company
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with Amazon Q?
I currently use the free tier, and in all my use cases, it's been able to deliver. Even though machine learning models have errors, regarding its benchmark, it's able to perform well. The paid vers...
What is your primary use case for Amazon Q?
I use it for personal tasks and work. For personal projects, when I'm working on a weekend hobby, I can use it to create APIs, which helps to bootstrap. If I have a data set which I want to analyze...
What advice do you have for others considering Amazon Q?
I will recommend this solution. With the pricing, it's acceptable based on what you want to achieve or your priorities at a particular time. They have options for businesses. Depending on your work...
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: July 2025.
865,384 professionals have used our research since 2012.