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GitHub CoPilot vs Honeycomb.io comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 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
7.1
Number of Reviews
28
Ranking in other categories
Rapid Application Development Software (10th)
Honeycomb.io
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 (23rd)
 

Mindshare comparison

As of June 2025, in the AI Code Assistants category, the mindshare of GitHub CoPilot is 7.0%. The mindshare of Honeycomb.io 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

"In terms of understanding user queries and providing code that aligns with my expectations, there is room for improvement."
"The product's initial setup phase is easy."
"The most valuable skill and characteristic of GitHub CoPilot is that you can find any information in seconds."
"I can upload code snippets or class files and ask for solutions to improve them, which works well. It's a great productivity tool that saves me time searching websites. While there are alternatives like ChatGPT and other AI tools, the advantage of the tool is that it is built into the IDE."
"GitHub CoPilot has good stability and performance."
"Copilot is highly recommended for everyone."
"The most valuable aspects in terms of features, revolve around its code generation capabilities."
"Copilot is integrated into my environment, providing the context and the bigger picture of how the code is used throughout the project."
"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

"Sometimes it requires multiple iterations to get the code I need, like for creating a login page with specific buttons and logic."
"There are no extensions provided by the product for Eclipse."
"The tool must improve its ability to work with multiple files."
"It would be useful if we could use the solution to create documents, not only prompts."
"The solution is expensive. It should also support other programming languages."
"It cannot be fully depended on to build every component and run a large enterprise application without significant human intervention."
"They could improve the product in terms of integration with other tools."
"Sometimes, if it is a bigger piece of code, it breaks in between."
"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."
"GitHub CoPilot is less expensive than other solutions."
"It's affordable."
"The pricing for GitHub Copilot is around ten dollars per month."
"The solution is costly."
"A personal license is priced at ten dollars per month, while a professional or enterprise license costs nineteen dollars per user, and these rates are consistent for all users."
"The product offers a free version and a paid version. Whether to choose the product's free version or paid version depends on the size of the company where it will be used."
"GitHub CoPilot's pricing is reasonable. Our licensing costs were initially monthly, but then we switched to yearly payments. I rate the tool's pricing an eight out of ten."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
10%
Healthcare Company
9%
Manufacturing Company
9%
Computer Software Company
16%
Financial Services Firm
14%
Manufacturing Company
9%
Comms Service Provider
7%
 

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...
 

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 GitHub CoPilot vs. Honeycomb.io and other solutions. Updated: June 2025.
858,435 professionals have used our research since 2012.