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GitHub CoPilot 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

GitHub CoPilot
Ranking in AI Code Assistants
1st
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
28
Ranking in other categories
Rapid Application Development Software (8th)
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)
 

Mindshare comparison

As of August 2025, in the AI Code Assistants category, the mindshare of GitHub CoPilot is 6.6%, up from 4.2% compared to the previous year. The mindshare of Honeycomb Enterprise is 0.2%. It is calculated based on PeerSpot user engagement data.
AI Code Assistants
 

Featured Reviews

TarunRevalla - PeerSpot reviewer
Saves time with context-aware code suggestions and seamless integration
In terms of improvements for Copilot, I haven't considered much since it offers many useful interactions. It integrates well with GitHub repositories, tracks changes on PRs, and provides valuable suggestions where applicable. There is excellent support across various code editors like JetBrains, VS Code, and NeoGen. I also run many automations within GitHub. When an NPR is raised, it automatically provides suggestions, which is part of the enterprise edition without limitations. While I don't see immediate room for improvement, one suggestion is for Copilot to provide specific suggestions for certain lines of code instead of rewriting entire sections. If the tool could focus on specific lines where changes are suggested, it would save time and reduce server load.
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

"The platform's most valuable feature is its code suggestion capability, which leverages AI to provide context-aware suggestions."
"The CoPilot app that you can use while creating presentations is very useful."
"The most valuable aspects in terms of features, revolve around its code generation capabilities."
"GitHub CoPilot is easy to use even for beginners and it supports the integration with CI/CD tools."
"Copilot is highly recommended for everyone."
"Copilot is integrated into my environment, providing the context and the bigger picture of how the code is used throughout the project."
"The product's initial setup phase is easy."
"Efficiencies with GitHub CoPilot have improved by 30%, which means a quicker go-to market and a simplified way of documenting technical designs."
"The solution's most valuable features are the queries for the OpenTelemetry events and all the tracing."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
 

Cons

"The limitation is based on the training dataset and the number of repositories."
"One drawback is that the solution sometimes suggests unwanted code, especially if I accidentally press the tab. This doesn't happen often. Sometimes it seems to understand my code, but other times it doesn't. This inconsistency is confusing."
"They could simplify the API integrations and allow us to automate certain tasks using our own server without just logging into the web page."
"GitHub CoPilot's stability is an area of concern where improvements are required."
"Sometimes it requires multiple iterations to get the code I need, like for creating a login page with specific buttons and logic."
"There's room for improvement to ensure that suggestions align more precisely with the context of what I'm seeking, minimizing instances of unrelated or inaccurate code suggestions."
"The technology offered by the product in the retail industry and banking processes has certain shortcomings, making them areas that can be improved."
"In certain instances, OpenAI didn't respond in the expected way. The responses were more general and didn't address the specific point."
"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."
 

Pricing and Cost Advice

"Each user needs their license, whether it's a big team or a small team."
"There is a need to pay around 10 USD to be able to use the solution."
"The solution is costly."
"GitHub CoPilot comes readily available for enterprise customers, so it's a free add-on if you already have GitHub's enterprise license."
"GitHub Copilot is a paid service, costing approximately $6 per month. There might be a free trial available."
"We have a license but need another one for the GitHub CoPilot tool."
"The pricing is reasonable. I think it is 10 USD per user."
"It's affordable."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
8%
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 is your experience regarding pricing and costs for GitHub CoPilot?
I honestly don't have a clue about how much we usually pay for GitHub CoPilot because the increase in license costs is managed by another team, and I am not the administrator, so I generally don't ...
What needs improvement with GitHub CoPilot?
The areas of GitHub CoPilot that need improvement include the ability to debug, which is applicable to AI-driven tools that allow you to code, and to understand our application better and learn fro...
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...
 

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 GitHub CoPilot vs. Honeycomb Enterprise and other solutions. Updated: July 2025.
865,164 professionals have used our research since 2012.