Overview
Product Information on Amazon Q Business
What is Amazon Q Business?
Amazon Q Business Pricing
Overall experience with Amazon Q Business
“AI-Powered Search and Automated Workflows Offer Efficiency With Some Limitations”
“Quick Fix Times Not Enough to Offset Common Web Service Downtime Issues”
About Company
Company Description
Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.
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A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: Amazon Q Business
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Performance of Amazon Q Business Across Market Features
Amazon Q Business Likes & Dislikes
1.) Ai powered search and insights - gives fast, accurate answers across all your company's documents, tools, and data sources, which saves a ton of time digging through files. 2.) Automated workflows - Q Business doesn't just answer questions, it can do things like generate content, summarize docs, draft emails, or trigger workflows directly from your chat. 3.) seamless integrations with AWS and enterprise apps - It connects easily with existing AWS infrastructure, slack, Jira, confluence, SharePoint, and other tools, making adoption smooth and giving teams more centralized AI assistance
It supports all of the systems we need, it has a turnaround time to fix that is quick, and it is widely accessible by users. But I really have to dig deep to think of anything I like about this service.
We like the inline code suggestions and the chatbot which helps to get knowledge of new technologies and to understand how this can be implemented in our codebase.
1. Occasional inconsistencies in search accuracy - While powerful, Q business can sometimes return partial or irrelevant results, especially with complex or older documents. 2. Setup and integration can be time-consuming - Connecting multiple data sources, managing permissions, and configuring security policies require technical expertise and can slow down onboarding. 3. Limited customization - There's not always enough control over how the model answers, adapts to company-specific language, or prioritizes certain data, which can impact reliability.
It often goes down and we're left waiting in the dust. I hate that I cannot guarantee access. It seems IT is frequently sending a mass message to us stating that AWS is down and they're working on the problem (but it happens SO OFTEN it's barely functional at times).
When it comes to security, Amazon Q sometimes prioritizes functionality over best practices. For example, it may suggest IAM policies with wild card permissions, which violates the Principle of Least Privilege. While this helps to complete the tsks faster, we must remain vigilant and carefully review all AI generated output, especially regarding security, to ensure they meet our compliance standards.
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Amazon Q Business Reviews and Ratings
- BUSINESS DEVELOPMENT ASSOCIATE50M-1B USDSoftwareReview Source
AI-Powered Search and Automated Workflows Offer Efficiency With Some Limitations
AWS has been nothing but exceptional to use throughout my daily life. Being able to not only be able to work more efficiently in tech is key but having a system in place that helps me be successful is huge. - ASSOCIATE CONSULTANT50M-1B USDBankingReview Source
Amazon Q Streamlines Development but Security Oversights Require Close Monitoring
We've started using Amazon Q to enhance the productivity of our developers and DevOps teams and to deliver high-quality software. It integrates easily with VS Code and provides inline code completion across a wide variety of languages. We are particularly impressed with the chat side bar, which helps us implement new technologies and understand how to integrate them into our existing code base. I would say Amazon Q has increased our delivery rate by more than 40% after 1 year of usage. We expect this to increase as people become more familiar with its usage. - Engineering Manager50M-1B USDConsumer GoodsReview Source
Amazon Q Business Excels In Natural Language Queries But Faces Setup Challenges
Overall the Expirence with Amazon Q Business has been positive. It integrates well with the AWS ecosystem and helps users quickly find relevant information using natural language queries. AI-Driven responses improve productivity, though fine tuning and data source configuration require some initial effort. - Devops Enginner10B+ USDMediaReview Source
AWS-Centric Integration Offers Streamlined Operations, But Limits Multi-Cloud Flexibility
It is a strong choice for applying and unleashing generative AI for enterprise level use cases. Building lightweight apps in a scalable and secure manner has been straightforward, with the added benefit of seamless AWS-native integrations. Amazon Q Business lowers the barrier to deriving insights from large, governed datasets, and overall our workflow efficiency has improved to a great extent through its adoption. - PRODUCT OWNER<50M USDManufacturingReview Source
Rapid creation of generative AI-powered, secure, reusable and customizable apps.
We have been working to create an ecosystem for our business applications that are running across different organizations. Connecting these applications and gathering data to create meaningful insights was a challenging task for us. However, Amazon Q Business has significantly simplified this process, making our integration efforts much more efficient and effective. This helps the management leadership team to generate the report by collecting the data from across the organization.