Amazon Q Business
Generative AI software
AI app builder software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Amazon Q Business and its alternatives fit your requirements.
$3 per user per month
Free Trial
Free version unavailable
Small
Medium
Large
-
What is Amazon Q Business
Amazon Q Business is a generative AI assistant designed for workplace use that answers questions, summarizes content, and helps users act on information across connected enterprise systems. It targets business users and IT teams that need a managed assistant for internal knowledge discovery and task support. The product emphasizes integration with AWS identity and security controls and provides connectors to common business content repositories so responses can be grounded in organizational data.
Enterprise data connectors
Amazon Q Business supports connecting to multiple enterprise content sources so users can query internal knowledge from a single interface. This reduces the need to manually search across separate tools and portals. Connector-based ingestion and indexing align with common enterprise knowledge-assistant deployment patterns. It is well-suited to organizations that already centralize content in established repositories.
AWS security and governance
The product aligns with AWS-native identity, access management, and administrative controls, which can simplify governance for AWS-centric organizations. It is designed to respect permissions when retrieving and presenting content from connected systems. Central administration supports policy-driven rollout and usage management. This can be a practical advantage versus standalone assistants that require separate governance layers.
Developer extensibility on AWS
Amazon Q Business can be extended through AWS services and APIs to fit internal workflows and application contexts. This supports embedding assistant experiences into existing enterprise applications and portals. IT teams can standardize deployment using AWS infrastructure and operational tooling. The approach fits organizations that prefer building and operating within a single cloud ecosystem.
Best fit for AWS shops
Organizations that are not standardized on AWS may face additional complexity in procurement, identity integration, and operations. Some capabilities and administrative workflows assume familiarity with AWS services and concepts. This can increase the learning curve for teams used to non-AWS tooling. As a result, time-to-value may be slower outside AWS-centric environments.
Connector coverage varies
The usefulness of the assistant depends heavily on which repositories and business applications can be connected and how well content is indexed. If a key system is not supported, teams may need custom integration workarounds or accept partial coverage. Data freshness and permission mapping can also vary by source. These factors can limit answer completeness for some organizations.
Output quality needs oversight
Like other generative AI assistants, responses can be incomplete, overly confident, or inconsistent depending on the underlying content and prompt context. Teams typically need governance, user training, and validation practices for high-stakes use cases. This is especially relevant when answers drive operational decisions or customer-facing actions. Human review and clear usage policies remain important.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Amazon Q Business Lite | $3 per user/month | Basic functionality: ask questions and receive permission-aware responses (responses up to ~1 page); enterprise SSO; upload files insights; web browser extension. |
| Amazon Q Business Pro | $20 per user/month | Full capabilities: longer responses (up to ~7 pages); Amazon Q Apps; Amazon Q in QuickSight (Reader Pro); custom/managed plugins; image responses (if image processing selected); integrations (Slack, Outlook, Word, Teams); web browser extension. |
Consumption pricing (anonymous/embed use)
- $200 for 30,000 units per month. 2 units are consumed per ChatSync API call or per prompt from the embedded chat experience. Unused units do not roll over; bundles auto-purchase at the same price when exhausted.
Index pricing (usage-based, charged per index unit per hour)
- Starter Index: $0.140 per hour per index unit (limit 5 units per application).
- Includes: 100 hours of connector usage per month; 20,000 documents or 200 MB extracted text per unit.
- Media processing: $0.003 per image ($3/1000); Audio $0.006 per minute; Video $0.050 per minute.
- Enterprise Index: $0.264 per hour per index unit.
- Includes: 100 hours of connector usage per month; 20,000 documents or 200 MB extracted text per unit.
Other fees / notes from official examples
- Amazon Q in QuickSight enablement fee noted in examples: $250 per month per account.
Free trial details (official)
- 60-day free trial for up to 50 Amazon Q Business Pro or Lite users per application.
- Free trial of 1,500 index hours per application to be used in 60 days.
- Amazon Q in QuickSight user subscription: 30-day free trial for up to 4 users per QuickSight account.
- Free-trial limits: 1 free-trial application per AWS payer account; free trial applies per user; no free trial for anonymous Chat/ChatSync API (consumption billed separately).
Seller details
Amazon Web Services, Inc.
Seattle, Washington, USA
2006
Subsidiary
https://aws.amazon.com/
https://x.com/awscloud
https://www.linkedin.com/company/amazon-web-services/
