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Amazon Q vs Decagon: 2026 comparison

AWS's enterprise AI agent — coding assistant, business chat, and customizable Q apps grounded in your AWS data.

💻CodeSemi-autonomousSubscription · from $19
CodeTool useRAGMemory

Conversational support agents that resolve tickets like your best reps.

🎧SupportAutonomousSubscription
Tool useMemoryRAG

Amazon Q vs Decagon — specs

SpecAmazon QDecagon
Agent Rank78 / 100 (A)72 / 100 (A)
AutonomySemi-autonomousAutonomous
PricingSubscription · from $19Subscription · Free tier
Open sourceNoNo
CapabilitiesCode, Tool use, RAG, MemoryTool use, Memory, RAG
Integrations4 apps3 apps
VerifiedVerifiedVerified
ReleasedApr 2025Apr 2025

Categories: Amazon QCode · DecagonSupport

Agent Rank breakdown

Amazon Q
Agent Rank
78/ 100
AA-tier
Autonomy fit
8
Capabilities
8
Integrations
6
Pricing value
8
Polish & maturity
7
Verifiability
10

Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?

Decagon
Agent Rank
72/ 100
AA-tier
Autonomy fit
9
Capabilities
6
Integrations
4
Pricing value
9
Polish & maturity
5
Verifiability
10

Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?

Pros & cons

Amazon Q
Pros
  • +Best Java + .NET migration features in any coding agent (Q Developer Transformation)
  • +Native AWS data grounding — answers questions about your specific cloud environment
  • +Per-seat pricing is competitive with GitHub Copilot Business
Cons
  • Weaker outside AWS environments
  • Q Business is a different product from Q Developer — confusion is common
  • Less polished IDE experience than Cursor or GitHub Copilot
Decagon
Pros
  • +Chat-first agent with consistently 65–75% tier-1 deflection in production
  • +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
  • +Mid-market priced — easier conversation than Sierra
Cons
  • Voice support exists but is not the strength
  • Sales-led — no self-serve sign-up
  • Per-resolution pricing can sting if tickets spike unexpectedly

Pricing

Amazon Q
Free tier
Free
Light use
  • +Limited Q Developer chat
  • +AWS console access
Recommended
Q Developer Pro
$19/seat/mo
Developers
  • +Inline completions
  • +Code transformation
  • +Customizations
Q Business
$20/seat/mo
Knowledge workers
  • +Custom Q apps
  • +AWS data grounding
  • +Plugin support
Decagon
Growth
Custom
Mid-market
  • +Per-resolution pricing
  • +Zendesk / Intercom integration
  • +Onboarding included
Recommended
Enterprise
Custom
Enterprise
  • +Custom integrations
  • +SSO + audit log
  • +Dedicated CSM

Which one should you pick?

Amazon Q

Pick Amazon Q if its specific capabilities (Code, Tool use) match what you need.

Try Amazon Q →
Decagon

Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.

Try Decagon →

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Frequently asked

Should I pick Amazon Q or Decagon in 2026?+

Pick Amazon Q if its specific capabilities (Code, Tool use) match what you need. Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place. Most working teams running both can use Amazon Q for primary work and Decagon for the workflows where its specific strengths matter.

What's the price difference between Amazon Q and Decagon?+

Amazon Q starts at Subscription · from $19; Decagon starts at Subscription · Free tier. Decagon is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.

Which is more autonomous, Amazon Q or Decagon?+

Decagon is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.

Want the real monthly cost at your volume? Run the TCO calculator →
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