AWS's fully managed service for accessing foundation models from multiple providers, with agents, guardrails, and knowledge bases built in.
AI Infrastructure comparison
Pricing, pros, cons, and ideal use cases — side by side.
AWS's fully managed service for accessing foundation models from multiple providers, with agents, guardrails, and knowledge bases built in.
A platform for turning messy enterprise documents — PDFs, slides, emails, scans — into clean, structured data ready for RAG and LLMs.
| Amazon Bedrock | Unstructured | |
|---|---|---|
| Pricing | PaidUsage-based pricing (per token, or provisioned throughput). Billed through AWS. | FreemiumOpen-source libraries are free. The managed API and platform are sold on usage-based paid plans. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Enterprises already standardized on AWSTeams needing models inside their cloud security perimeterRegulated organizations with strict compliance needs | Enterprises building RAG over real document setsTeams handling PDFs, scans, and complex file typesData engineers preparing content for LLMs |
Unstructured is the lighter-weight option (Freemium), while Amazon Bedrock sits higher on the pricing ladder (Paid). Amazon Bedrock is built around enterprises already standardized on aws; Unstructured leans more toward enterprises building rag over real document sets. Shortlist the one whose strengths line up with your biggest constraint.
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