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Amazon Q

Amazon Q

Amazon Q is a cloud-based knowledge sharing service that enables teams to access information and subject matter experts across their organization. It uses machine learning to surface relevant answers to questions.
Amazon Q screenshot

Amazon Q: Cloud-Based Knowledge Sharing for Teams

A cloud-based knowledge sharing service enabling teams to access information and subject matter experts across their organization, powered by machine learning to surface relevant answers to questions.

What is Amazon Q?

What Is Amazon Q?

Amazon Q is an AI-powered assistant built by AWS for business and developer use cases. It connects to your company's data sources — wikis, intranets, Jira, Salesforce, S3, and more — to answer questions, generate content, and take actions based on your organization's knowledge.

Key Features

Amazon Q Business lets employees ask questions in natural language and get answers sourced from connected enterprise data, with citations. It respects existing access controls, so users only see information they are authorized to access.

Amazon Q Developer (formerly CodeWhisperer) provides AI code generation, debugging, transformation, and explanation directly in IDEs. It can modernize Java applications, generate unit tests, and explain unfamiliar codebases.

Pricing

Amazon Q Business starts at 3 dollars per user per month for the Lite tier. Amazon Q Developer has a free tier for individual developers, with Pro at 19 dollars per user per month adding higher limits and administrative features.

Amazon Q Features

Features

  1. Allows teams to access information across the organization
  2. Surfaces relevant answers to questions using machine learning
  3. Provides access to subject matter experts
  4. Enables knowledge sharing within teams

Pricing

  • Subscription-Based

Pros

Improves access to organizational knowledge

Leverages AI for better search results

Connects employees for expertise sharing

Promotes collaboration and knowledge transfer

Cons

May require change management for adoption

AI accuracy depends on quality of data

Knowledge silos may still exist if not widely adopted

Additional training required for users

Reviews & Ratings

Login to Review
3.6

38 reviews

Rating Breakdown
Ease of Use
4.0
Features
3.6
Value for Money
3.2
Customer Support
3.4
Overall Experience
3.6
Recent Reviews
L
Liam Harris
Apr 24, 2026
More Hype Than Help

After six months of trying to integrate Amazon Q into our workflow, the promised 'relevant answers' are anything but. The machine learning seems to consistently surface outdated or irrelevant information from our internal wiki, missing crucial context. The search function …

pharris7164
Phoenix Harris
Apr 21, 2026
Finally stopped playing phone tag with our experts

As someone supporting a global sales team, Amazon Q has been a lifesaver. Instead of chasing down product managers or waiting on emails, I can now get accurate, sourced answers on complex product specs in seconds. It's like having an …

A
Avery Lopez
Apr 21, 2026
A game-changer for finding internal knowledge

Amazon Q has drastically cut down the time I spend hunting for information or the right expert. It consistently surfaces accurate, relevant answers from our internal docs and connects me to colleagues who can help. It feels like a powerful, …

S
Sarah Miller
Apr 20, 2026
A promising but inconsistent assistant for internal knowledge

Amazon Q is a powerful concept that can be incredibly helpful when it works, surfacing documents and expert contacts I wouldn't have found otherwise. However, its AI-generated answers can be confidently wrong or outdated, forcing me to double-check everything, which …

E
Elena Chen
Apr 19, 2026
Finally Tapping into Our Company's Collective Knowledge

Amazon Q has been a game-changer for our distributed team. Instead of spending hours searching Confluence or pinging various Slack channels, I can now ask a natural language question and get a direct answer pulled from our approved internal documents. …

Rating Distribution
5
16
4
6
3
8
2
8
1
0

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