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amazon-q

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🇺🇸 USA · Amazon Q Business

Status: 🟩 COMPLETE 🟦 LIVING Last updated: 2026-06-26 Plain-English tagline: Amazon’s enterprise AI assistant — connects to your company’s data (S3, SharePoint, Confluence, Salesforce, ServiceNow, etc.), then answers questions about it. The enterprise sibling of Amazon Q Developer.

Front-matter facts

FieldValue
VendorAmazon Web Services (Seattle, USA)
Country / origin🇺🇸 USA
Recommended for Australian users?✅ Yes — fully accessible from AUS; AUS data residency via Sydney (ap-southeast-2) for enterprise workloads
Privacy summaryEnterprise tier: no training on customer data; tenant-isolated; AUS data residency
Free tierLimited trial via AWS Free Tier
Paid tiersQ Business Lite US20/user/mo · Plus AWS infrastructure costs
First released2024 (re:Invent 2023 announcement; GA 2024)
Last reviewed2026-06-26
Official sitehttps://aws.amazon.com/q/business/

What it is

Amazon Q Business is AWS’s enterprise AI assistant — distinct from Amazon Q Developer (the coding-focused product). Q Business is for business users: it connects to your company’s data sources, indexes them, and lets employees ask conversational questions across that data.

Supported data sources (connectors):

  • AWS — S3, Amazon Q knowledge bases
  • Microsoft — SharePoint, OneDrive, Teams, Outlook, Exchange
  • Atlassian — Confluence, Jira (Aussie company!)
  • Salesforce — CRM data
  • ServiceNow — workflow / ticketing
  • Box, Dropbox, Google Drive
  • Slack, Zoom
  • GitHub, GitLab
  • Web crawlers for intranet sites
  • Custom connectors via API

Key features:

  • Conversational Q&A over company data — “what’s our policy on parental leave?”
  • Document generation — drafts using your data
  • Cross-source search — query across multiple connected systems
  • Citations — answers cite the source documents
  • Custom plugins — connect to your internal apps
  • Q Apps — turn frequent queries into reusable mini-apps
  • Q in QuickSight — AI in BI dashboards
  • Q in Connect — AI in contact-centre

What you’d use it for

  • Internal knowledge search — “where’s our brand guidelines doc?”
  • Policy / HR Q&A — “how much sick leave do I have left this year?”
  • Customer service support — agents query knowledge base while on calls
  • Onboarding new employees — they ask Q Business instead of bothering colleagues
  • Sales-team support — competitive intel, account history queries
  • IT support — common-question automation
  • Compliance / legal Q&A — across stored documents

When NOT to use Q Business:

  • Personal / consumer use (use ChatGPT / Claude / Gemini instead)
  • Pure coding work (use Q Developer)
  • Highly creative tasks (general LLMs better)

How to set up from Australia

  1. Sign in to AWS console (console.aws.amazon.com)
  2. Navigate to Amazon Q Business
  3. Create a Q Business application
  4. Configure data source connectors (start with one — say, SharePoint)
  5. Set up access controls (IAM Identity Center for SSO)
  6. Index data (can take hours for first-time indexing of large repositories)
  7. Users access via web UI or embedded into Slack / Teams
  8. AUS data residency: deploy in Sydney (ap-southeast-2) region

What it costs

Q Business Lite — US$3/user/month

  • Basic conversational Q&A
  • Limited connectors
  • Lower usage caps

Q Business Pro — US$20/user/month

  • Full connector support
  • Custom plugins
  • Q Apps
  • Higher usage
  • Most common tier

Plus AWS infrastructure costs

  • Storage for indexed content
  • Compute for indexing / queries
  • Variable based on data volume + query frequency
  • For 100 users / moderate data: typically US$2K-10K/month all-in

Hidden costs to know about

  • Connector indexing has per-document costs at scale
  • Custom plugins may need additional AWS Lambda / API Gateway costs
  • Initial deployment + IAM Identity Center setup is non-trivial — typically a Solutions Architect or partner project

How it compares to alternatives

CapabilityAmazon Q BusinessGleanMicrosoft 365 CopilotGoogle Workspace + Gemini
Cross-source enterprise searchBest (broadest connectors)Best (specialised)M365 sources onlyWorkspace sources only
AWS integrationNativeLimitedLimitedLimited
Microsoft 365 integrationVia connectorVia connectorNativeVia connector
Workspace integrationVia connectorVia connectorVia connectorNative
AUS data residencyYes (Sydney)LimitedYes (Australia East)Yes (Sydney)
Pricing (per user)US$3-20US$30-50US$30 + M365US$22-30 + Workspace
Best forEnterprises in AWS / multi-sourcePure cross-source enterprise searchM365-centric orgsWorkspace-centric orgs

For organisations in AWS, Q Business is the natural pick. For pure cross-source enterprise search, Glean is the specialist competitor.

Privacy / data handling

  • No training on customer data — contractually committed
  • Tenant-isolated within your AWS account
  • AUS data residency via Sydney region
  • Standard AWS enterprise security (SOC 2, ISO 27001, HIPAA, IRAP for AUS government)
  • Q Business respects underlying source permissions — users only see Q answers based on what they’re authorised to see

Recent changes

  • 2026: More connectors; Q Apps matured; QuickSight Q integration deepened
  • 2025: Q Business Lite tier launched (cheaper entry point)
  • 2024: GA after Nov 2023 re:Invent announcement

Gotchas

  • Setup is non-trivial — IAM Identity Center, connector configuration, indexing all need time and AWS expertise
  • Per-user pricing × infrastructure costs adds up — model total cost carefully
  • Answer quality depends on source data quality — garbage in, garbage out
  • Indexing latency — new documents take time to appear in answers
  • Permission inheritance is genuine but requires correct source permissions setup
  • For very small businesses, Q Business is overkill — use M365 Copilot or Workspace Gemini instead
  • Q Developer is separate — they’re related products but billed and configured separately

See also

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