コードベース全体を把握した上で動作する自律的なコーディングエージェント — 深いコンテキストを活用したマルチファイル編集。
コード実行ツール利用メモリRAG
Demo · hover to playAmazon Q vs Dustwhich AI code agent should you pick in 2026?
AWS's enterprise AI agent — coding assistant, business chat, and customizable Q apps grounded in your AWS data.
CodeTool useRAGMemory
Amazon Q vs Dust — specs
| Spec | Amazon Q | Dust |
|---|---|---|
| Agent Rank | 80 / 100 (A) | 77 / 100 (A) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · from $19 | Subscription · from $29 |
| Open source | No | No |
| Capabilities | Code, Tool use, RAG, Memory | Tool use, Memory, RAG, Multi-agent |
| Integrations | 4 apps | 5 apps |
| Verified | Verified | — |
| Released | Apr 2025 | Mar 2025 |
Agent Rank breakdown
Amazon Q
Agent Rank
80/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 6
- 料金
- 8
- 完成度
- 8
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Dust
Agent Rank
77/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 10
- 料金
- 7
- 完成度
- 7
- 検証性
- 6
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
Amazon Q
メリット
- +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
デメリット
- −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
Dust
メリット
- +"Multiplayer AI" — shared, governed workspaces designed for company-wide use
- +$40M Series B (Sequoia, Snowflake, Datadog) signals strong enterprise validation
- +Deepest connector library among agent platforms (Slack/Notion/GitHub/Salesforce/GDrive)
デメリット
- −French roots — strongest support in EU/UK time zones
- −Higher per-seat pricing than Glean for read-only retrieval use cases
- −Custom agent authoring requires technical user (less low-code than Gumloop)
Pricing
Amazon Q
Free tier
無料
Light use
- +Limited Q Developer chat
- +AWS console access
おすすめ
Q Developer Pro
$19/席/月
Developers
- +Inline completions
- +Code transformation
- +Customizations
Q Business
$20/席/月
Knowledge workers
- +Custom Q apps
- +AWS data grounding
- +Plugin support
Dust
Free
無料
Individuals
- +1 workspace
- +3 agents
- +GPT-4o + Claude 3.5
おすすめ
Pro
$29/席/月
Teams
- +Unlimited agents
- +All integrations
- +Custom data sources
Enterprise
カスタム
Large orgs
- +SSO + audit
- +Custom retention
- +Dedicated tenants
Which one should you pick?
Amazon Q
Pick Amazon Q if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Amazon Q →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Amazon Q or Dust in 2026?+
Pick Amazon Q if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Dust if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Amazon Q for primary work and Dust for the workflows where its specific strengths matter.
What's the price difference between Amazon Q and Dust?+
Amazon Q starts at Subscription · from $19; Dust starts at Subscription · from $29. Amazon Q 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 Dust?+
Both Amazon Q and Dust are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
Readers comparing Amazon Q and Dust also picked
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
- Demo · hover to play
エンタープライズ向けコードインテリジェンスエージェント — コードに関する質問に回答し、大規模モノレポをナビゲート。
コード実行ツール利用RAGメモリDemo · hover to playGitHub のAIペアプログラマー — インライン補完、チャット、そしてPRを自動作成する新しいAgent モードを搭載。
コード実行ツール利用メモリDemo · hover to play
See more alternatives: alternatives to Amazon Q · alternatives to Dust
Want the real monthly cost at your volume? Run the TCO calculator →
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