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Google Gemini AI vs Honeycomb Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 9, 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
7.8
Reviews Sentiment
6.0
Number of Reviews
16
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 (27th), AI Observability (75th)
 

Mindshare comparison

As of January 2026, in the AI Code Assistants category, the mindshare of Google Gemini AI is 6.9%, up from 4.2% compared to the previous year. The mindshare of Honeycomb Enterprise is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Code Assistants Market Share Distribution
ProductMarket Share (%)
Google Gemini AI6.9%
Honeycomb Enterprise0.7%
Other92.4%
AI Code Assistants
 

Featured Reviews

Luís Silva - PeerSpot reviewer
Chief Technical Lead at a consultancy with 201-500 employees
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
CEO at a computer software company with 10,001+ employees
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

"It is like having an expert at my fingertips for those out-of-scope queries."
"Google Gemini has the best combination of scalability, costs, performance, and accuracy."
"The most beneficial aspect of Google Gemini for me is that it's able to do searches much better."
"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."
"I would rate my overall experience with Google Gemini as a nine out of ten."
"I have compared responses from Gemini and ChatGPT and received similar results but presented differently, and every tool has its uniqueness; it is good, and I am enjoying using both tools, but most often I use ChatGPT because I haven't used Gemini recently."
"I have seen many cases of reduced costs and working hours."
"Google Gemini uses all the data that Google has produced."
"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."
"The approach offers significant benefits in terms of efficiency, consistency, and proactive security management, particularly valuable for organizations with large, distributed development teams."
 

Cons

"There are scalability issues, and they are all related to what you can do within that context window of a million tokens."
"Google can improve in model justification and interpretability of answers."
"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."
"Google Gemini often gets factual answers wrong, which is problematic."
"Sometimes Google Gemini could hallucinate and provide incorrect information, which needs explanation for correction."
"When I have reached out to Google Support, it's been very limiting. I would rate Google at about a five."
"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."
"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."
"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
University
11%
Computer Software Company
9%
Comms Service Provider
8%
Government
6%
Computer Software Company
17%
Financial Services Firm
12%
Manufacturing Company
9%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise6
Large Enterprise6
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Google Gemini?
The pricing of Google Gemini AI is not well understood, so no feedback can be provided on the cost. It was thought to have come together with the device subscription.
What needs improvement with Google Gemini?
Google Gemini AI is not used much because it does not appear to be as responsive or as effective as Alexa when responding to questions, queries, instructions, or commands. When in a room with Googl...
What is your primary use case for Google Gemini?
Google Gemini AI is used for common, basic digital assistant queries such as asking about the weather and the time. Often there are conflicting responses from Google Home, Google Home Mini, and the...
What needs improvement with Honeycomb.io?
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 securit...
What is your primary use case for Honeycomb.io?
Although Grit is a tool code code migration and management of technical debt for large chunks of work, we reviewed Grit from the use case of assisting in faster remediation of vulnerable libraries....
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: December 2025.
881,114 professionals have used our research since 2012.