Try our new research platform with insights from 80,000+ expert users

Gemini vs Honeycomb.io comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 26, 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

Gemini
Ranking in AI Code Assistants
2nd
Average Rating
8.0
Reviews Sentiment
5.5
Number of Reviews
14
Ranking in other categories
AI Writing Tools (1st), Large Language Models (LLMs) (1st), AI Proofreading Tools (1st)
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 (25th)
 

Mindshare comparison

As of July 2025, in the AI Code Assistants category, the mindshare of Gemini is 5.9%, up from 1.4% compared to the previous year. The mindshare of Honeycomb.io is 0.2%. It is calculated based on PeerSpot user engagement data.
AI Code Assistants
 

Featured Reviews

Luís Silva - PeerSpot reviewer
Tool proves competitive with cost-effectiveness and speed while benefiting decision-making and integration capabilities, but shows room for enhancing creativity and handling large data contextually
There is another benefit in that Google Gemini is highly competitive from a cost perspective. The cost per token is very competitive. It's not the best - the Chinese models such as DeepSeek are better, but I can't use them. From a cost perspective, between European and United States options, Google Gemini is very competitive. It's not only its cost, it's also very performing. The time it takes to process the prompts and context information is very fast. It's one of the fastest models in the market. That's another advantage. There are other models which are also very good in quality but not as fast, such as Anthropic Claude. Google Gemini currently has a very good balance. The AI capabilities of Google Gemini are a multi-modal LLM which allows me to pass documents, images, and texts in the same prompt. Being multi-modal makes my life easier. I don't have to translate information before I can work with it. Google provides free tools to test scenarios, which speeds up development and reduces costs. It's a very fast and accurate model with quality responses.
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

"Recently, Google Gemini has been very stable, without performance issues, even handling network problems smoothly with a retry."
"I'm impressed with its orchestration capabilities, which structure the workflow for research automatically and meaningfully, making it a helpful tool."
"The most valuable feature of Google Gemini is its ability to function as an intelligent assistant, providing accurate answers to natural language queries and performing translations."
"Google Gemini has the best combination of scalability, costs, performance, and accuracy."
"Google Gemini uses all the data that Google has produced."
"It is like having an expert at my fingertips for those out-of-scope queries."
"I would rate my overall experience with Google Gemini as a nine out of ten."
"The best features for my use cases with Google Gemini are its dynamic LLM model that can perform dynamic searches, which is wonderful for factual searches to understand numbers and to generate real-time answers."
"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

"Google Gemini needs more accurate answers and the ability to export data to Excel or Google Sheets."
"There are scalability issues, and they are all related to what you can do within that context window of a million tokens."
"Google Gemini often gets factual answers wrong, which is problematic."
"I conducted some research using Google Gemini, and sometimes the results are not correct. For example, when I asked for information about marketing and inquired about the sources used, the sources were not relevant or had no relation to the subject I was researching."
"Currently, it operates mostly autonomously, and while it provides structured activities, making the research configuration more accessible and flexible would be beneficial."
"Google Gemini could improve its functionalities compared to other tools like ChatGPT, especially in the customization options, Canvas mode, and web search tools, which aren't as advanced."
"Google can improve in model justification and interpretability of answers."
"I do not have a special recommendation for improvement."
"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."
report
Use our free recommendation engine to learn which AI Code Assistants solutions are best for your needs.
863,429 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
University
11%
Computer Software Company
11%
Comms Service Provider
8%
Government
7%
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 Google Gemini?
If ten is expensive and one is free, I would rate it a three or four.
What needs improvement with Google Gemini?
Google Gemini's biggest strength is also its drawback; it's excellent for generating reports and working with data in real-time, but it isn't the most creative LLM for tasks such as creating a digi...
What is your primary use case for Google Gemini?
My use cases for Google Gemini are largely towards market research where I generate reports and understand the market, and there is a clear differentiator with Google Gemini that wasn't there earli...
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

Google Bard, Google Gemini
Grit
 

Overview

 

Sample Customers

Information Not Available
Clover Health, Eaze, Intercom, Fender
Find out what your peers are saying about Gemini vs. Honeycomb.io and other solutions. Updated: June 2025.
863,429 professionals have used our research since 2012.