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Amazon Q vs Google Gemini AI 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

Amazon Q
Ranking in AI Code Assistants
1st
Average Rating
8.2
Reviews Sentiment
2.4
Number of Reviews
17
Ranking in other categories
No ranking in other categories
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)
 

Featured Reviews

Jayesh Patil - PeerSpot reviewer
Connectors and guardrails facilitate question-answer setups effectively
There isn't such an issue we have faced with Amazon Q regarding speed increasing. Syncing and indexing takes a lot of time, and they need to improve upon that. Remaining everything is good for us, and that is also acceptable as we can set it as a nightly job. Once it's done, it takes around one hour max for any number of documents. We were trying to address specific issues and challenges by implementing Amazon Q in our environment because currently, they don't provide any APIs directly. We find it difficult to integrate with our product. The second challenge is while connecting Jira, we need the ACLs to maintain our security, but it doesn't allow us to connect to Jira if our ACLs are on. We need to turn them off to connect to it. Even though we connected with the support team of AWS, they were not able to resolve our issue, so we were disappointed at that moment. As a part of improvement, we don't see any improvement areas for Amazon Q at present. We first need to test that we can integrate it with our product. We need the APIs before we can suggest improvements.
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The best feature Amazon Q offers is the code security scan, which actually depicts the threat assessment of the code or whether a particular code snippet can be utilized by attackers to find loopholes."
"The explanation and documentation capabilities are excellent."
"The benefits of Amazon Q are that you don't need to build any code base at the backend to develop your RAG system or AI LLM-based summarization systems to do question-answer sets on the documents."
"The insight capability is specifically the best one because if searching for data, it will take some amount of time and can be really complex manually; with Amazon Q, it was able to give me quick insights in a couple of seconds with summarized results, which is something really amazing."
"Amazon Q saved my time more than other products, such as GitHub Copilot, because it is conscious about particular AWS services."
"The best feature of Amazon Q is the voice chat, where it talks back to you in normal language and you can query it."
"The best feature of Amazon Q is that it has knowledge of my entire code base, entire repository, and its flows."
"The support team from Amazon provides comfort because previously we used to think and implement, which took considerable time, and now we can complete our projects and requirements in three months or two months."
"It is like having an expert at my fingertips for those out-of-scope queries."
"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 provides an out-of-the-box solution with a comprehensive ecosystem of tools."
"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."
"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."
"I have seen many cases of reduced costs and working hours."
 

Cons

"Sometimes feedback is needed immediately. It takes a bit of time because there is a workload."
"The model is not able to give answers properly with the traffic it is facing, so it needs to be scaled more."
"One most important improvement would be having deeper domain-specific intelligence for Amazon Q."
"While great for standard tasks, it sometimes struggles with more complex or multi-layered problems in large code bases."
"I discovered that the application logs me out automatically after some time, which becomes problematic as I then lose access to my chat history."
"Even though we connected with the support team of AWS, they were not able to resolve our issue, so we were disappointed at that moment."
"There are scalability issues, and they are all related to what you can do within that context window of a million tokens."
"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."
"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 can improve in model justification and interpretability of answers."
"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."
"When I have reached out to Google Support, it's been very limiting. I would rate Google at about a five."
"Google Gemini needs more accurate answers and the ability to export data to Excel or Google Sheets."
"Sometimes Google Gemini could hallucinate and provide incorrect information, which needs explanation for correction."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
10%
Manufacturing Company
8%
Comms Service Provider
6%
Computer Software Company
12%
University
11%
Comms Service Provider
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise12
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise6
Large Enterprise4
 

Questions from the Community

What needs improvement with Amazon Q?
One most important improvement would be having deeper domain-specific intelligence for Amazon Q. While it can pull enterprise data sources, adding more domain-tuned models, for example in pharma, w...
What is your primary use case for Amazon Q?
My main use case for Amazon Q is primarily focused on business perspectives. I was able to do a Q&A sort of interaction. If I simply asked what the revenue was for this quarter, Amazon Q was ab...
What advice do you have for others considering Amazon Q?
My advice for others looking into using Amazon Q is that we should start small because we have to understand how exactly it works. Take a small use case, such as documentation or a codebase review....
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...
 

Comparisons

 

Also Known As

No data available
Google Bard
 

Overview

Find out what your peers are saying about Amazon Q vs. Google Gemini AI and other solutions. Updated: September 2025.
868,759 professionals have used our research since 2012.