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Google Gemini AI vs Honeycomb Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 4, 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

Google Gemini AI
Ranking in AI Code Assistants
3rd
Average Rating
8.0
Reviews Sentiment
5.5
Number of Reviews
15
Ranking in other categories
AI Writing Tools (1st), Large Language Models (LLMs) (1st), AI Proofreading Tools (1st)
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)
 

Mindshare comparison

As of October 2025, in the AI Code Assistants category, the mindshare of Google Gemini AI is 6.4%, up from 2.6% compared to the previous year. The mindshare of Honeycomb Enterprise is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Code Assistants Market Share Distribution
ProductMarket Share (%)
Google Gemini AI6.4%
Honeycomb Enterprise0.2%
Other93.4%
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.
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 most valuable feature of Google Gemini for us is its text writing capabilities, which we are using for writing texts and social media posts for our company's social media page."
"I have seen many cases of reduced costs and working hours."
"Recently, Google Gemini has been very stable, without performance issues, even handling network problems smoothly with a retry."
"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."
"Google Gemini has the best combination of scalability, costs, performance, and accuracy."
"Google provides an out-of-the-box solution with a comprehensive ecosystem of tools."
"I would rate my overall experience with Google Gemini as a nine out of ten."
"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."
"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."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
 

Cons

"Currently, it operates mostly autonomously, and while it provides structured activities, making the research configuration more accessible and flexible would be beneficial."
"Sometimes Google Gemini could hallucinate and provide incorrect information, which needs explanation for correction."
"I do not have a special recommendation for improvement."
"The binning process could be more intuitive, especially when grouping data into categories like age groups."
"Google Gemini needs more accurate answers and the ability to export data to Excel or Google Sheets."
"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 digital storytelling campaign or crafting marketing messages."
"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."
"When I have reached out to Google Support, it's been very limiting. I would rate Google at about a five."
"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."
"The way Grit architecture is designed and how it works, it is and may not become an alternative choice of code security solutions."
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Top Industries

By visitors reading reviews
Computer Software Company
11%
University
11%
Comms Service Provider
8%
Government
7%
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 Business6
Midsize Enterprise6
Large Enterprise4
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?
Gemini can be improved in several ways. The ChatGPT platform is much more simple for getting started, whereas Gemini's initial setup is more difficult, particularly when using other services such a...
What is your primary use case for Google Gemini?
We have implemented real-time data streaming and analysis tools in Gemini. We have used them to develop complicated systems such as a tender valuation system and a vision tool to classify images on...
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

Google Bard
Grit
 

Overview

 

Sample Customers

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