My advice to others looking into using Amazon Q is very simple. Go and take a shot on Amazon Q and build cool applications. If someone has any existing project, go ahead and start analyzing the complete project just by giving the prompt in Amazon Q. Turn on agentic mode, go ahead and start building applications using agentic mode, and start debugging applications using agentic mode, and probably use it for all the visualizations that can be done in terms of the applications that I build. Someone can deeply research about the complete application and probably get a lot of ideas. There is a lot that can be done. Probably one is research, the second is amazing development, the third one is automation, and the fourth one is debugging a lot of existing issues and probably putting a fix using Amazon Q. The only advice that I would give is to go ahead, purchase Amazon Q, start building applications, and get hands dirty. This is how to do it. Once someone gets hands dirty using Amazon Q, it would help them figure out the developer inside them. I give this product a rating of eight point five out of ten. Go ahead and pick Amazon Q and start building.
I find Amazon Q easy to use, and I believe anyone can use it without needing extensive technical knowledge. I would definitely recommend Amazon Q to other people; it's a great tool. I find it quite satisfactory. On a scale of 1-10, I rate Amazon Q an 8.
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. Combining with other AWS services is amazing for deeper analytics, connecting with Athena and Redshift. For automation, pairing it with Lambda could be a game changer and reduce manual effort. Getting into more domain-specific areas, having deeper knowledge, and ensuring data security and governance are taken care of should come first. Since it is available for multiple regions, we have to ensure proper data mesh implementation. This is already present as Amazon Q is available for multi-region deployment. AWS has many services, and learning all of them could be tricky, time-consuming, tough, and potentially boring. Amazon Q could be a game-changer if used correctly, and there is always scope to make it better. I rate Amazon Q 8 out of 10.
I haven't gone for the pro pricing, but I'm still using the free version of Amazon Q and it really works for me. If I'm in a work environment, I think I need to update to a pro version, but the pro version isn't that expensive to me because of my needs. It's really worth the money I'm paying. I have logged in. I'm an Amazon user and order their products, but in terms of their technological side, I haven't subscribed to their pro versions yet. On a scale of 1-10, I rate Amazon Q an 8 out of 10.
Innovation Strategist at a insurance company with 5,001-10,000 employees
Real User
Top 20
Aug 7, 2025
With a review rating of 7 out of 10, I would recommend Amazon Q. A major advantage is the comprehensive AWS support and integration capabilities. The platform offers extensive integration possibilities with enterprise-level solutions such as Salesforce and others. Once the initial setup is complete, operations proceed smoothly, making it particularly suitable for POCs and small-level projects.
Amazon Q is absolutely worth recommending because it is stable and works effectively with AWS cloud, providing good value for money. The overall rating for this solution is 8.5 out of 10.
Senior Software Engineer at a tech vendor with 1,001-5,000 employees
Real User
Top 5
Aug 5, 2025
In our organization, everybody is using Amazon Q because it is the only AI tool allowed. We are not allowed to use Copilot or other AI tools due to data security concerns around health-related products. While I would recommend it to other associates in our organization, I am not sure if it is free or not since I got the link from my team. If many people usually look for free versions, I will definitely recommend it; however, I would not expect people to jump directly to the subscription version. I want to note that I prefer not to be completely anonymous. However, if I mention the company's name, it raises privacy issues, so I think limiting that is fine. On a scale of one to ten, I rate Amazon Q an 8.5.
Site reliability engineer at a tech services company with 201-500 employees
Real User
Top 20
Jul 16, 2025
I will recommend this solution. With the pricing, it's acceptable based on what you want to achieve or your priorities at a particular time. They have options for businesses. Depending on your workload or what you intend to achieve, you can talk to the customer service team of AWS and they'll help you out. On a scale of 1-10, I rate Amazon Q a 9.
Amazon Q provides context-aware responses and integrates seamlessly with AWS, supporting efficient cloud task management, multi-language frameworks, and documentation capabilities. It's an asset for diverse development needs with auto-logging, intuitive interfaces, and fast deployment.Amazon Q offers advanced natural language interpretation, enriching productivity with robust features like Git-related insights for tracking code changes and built-in redundancy. It supports multi-language...
My advice to others looking into using Amazon Q is very simple. Go and take a shot on Amazon Q and build cool applications. If someone has any existing project, go ahead and start analyzing the complete project just by giving the prompt in Amazon Q. Turn on agentic mode, go ahead and start building applications using agentic mode, and start debugging applications using agentic mode, and probably use it for all the visualizations that can be done in terms of the applications that I build. Someone can deeply research about the complete application and probably get a lot of ideas. There is a lot that can be done. Probably one is research, the second is amazing development, the third one is automation, and the fourth one is debugging a lot of existing issues and probably putting a fix using Amazon Q. The only advice that I would give is to go ahead, purchase Amazon Q, start building applications, and get hands dirty. This is how to do it. Once someone gets hands dirty using Amazon Q, it would help them figure out the developer inside them. I give this product a rating of eight point five out of ten. Go ahead and pick Amazon Q and start building.
I find Amazon Q easy to use, and I believe anyone can use it without needing extensive technical knowledge. I would definitely recommend Amazon Q to other people; it's a great tool. I find it quite satisfactory. On a scale of 1-10, I rate Amazon Q an 8.
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. Combining with other AWS services is amazing for deeper analytics, connecting with Athena and Redshift. For automation, pairing it with Lambda could be a game changer and reduce manual effort. Getting into more domain-specific areas, having deeper knowledge, and ensuring data security and governance are taken care of should come first. Since it is available for multiple regions, we have to ensure proper data mesh implementation. This is already present as Amazon Q is available for multi-region deployment. AWS has many services, and learning all of them could be tricky, time-consuming, tough, and potentially boring. Amazon Q could be a game-changer if used correctly, and there is always scope to make it better. I rate Amazon Q 8 out of 10.
I haven't gone for the pro pricing, but I'm still using the free version of Amazon Q and it really works for me. If I'm in a work environment, I think I need to update to a pro version, but the pro version isn't that expensive to me because of my needs. It's really worth the money I'm paying. I have logged in. I'm an Amazon user and order their products, but in terms of their technological side, I haven't subscribed to their pro versions yet. On a scale of 1-10, I rate Amazon Q an 8 out of 10.
With a review rating of 7 out of 10, I would recommend Amazon Q. A major advantage is the comprehensive AWS support and integration capabilities. The platform offers extensive integration possibilities with enterprise-level solutions such as Salesforce and others. Once the initial setup is complete, operations proceed smoothly, making it particularly suitable for POCs and small-level projects.
Amazon Q is absolutely worth recommending because it is stable and works effectively with AWS cloud, providing good value for money. The overall rating for this solution is 8.5 out of 10.
In our organization, everybody is using Amazon Q because it is the only AI tool allowed. We are not allowed to use Copilot or other AI tools due to data security concerns around health-related products. While I would recommend it to other associates in our organization, I am not sure if it is free or not since I got the link from my team. If many people usually look for free versions, I will definitely recommend it; however, I would not expect people to jump directly to the subscription version. I want to note that I prefer not to be completely anonymous. However, if I mention the company's name, it raises privacy issues, so I think limiting that is fine. On a scale of one to ten, I rate Amazon Q an 8.5.
I will recommend this solution. With the pricing, it's acceptable based on what you want to achieve or your priorities at a particular time. They have options for businesses. Depending on your workload or what you intend to achieve, you can talk to the customer service team of AWS and they'll help you out. On a scale of 1-10, I rate Amazon Q a 9.