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Amazon Bedrock vs Azure OpenAI Service
This comparison was retrieved by database IDs selected from the catalog.
Amazon Bedrock
Amazon Web Services
Azure OpenAI Service
Microsoft
Pay-as-you-go per token. No minimum. Free trial with limited credits for new accounts. Pricing varies by model from $0.00015/1K tokens (Titan Lite) to $0.015/1K tokens (Claude 3 Opus). Provisioned throughput available.
Pay-as-you-go per token. Free tier with limited credits for new Azure accounts. Pricing matches OpenAI API rates (e.g. GPT-4o at $2.50/million input tokens). Provisioned throughput available. Enterprise custom pricing.
AWS ecosystem (Lambda, S3, SageMaker, CloudWatch)
AWS security certifications including SOC 2, HIPAA, ISO 27001, GDPR, and FedRAMP. VPC support for network isolation. Customer-managed encryption keys.
Full Azure enterprise security stack: SOC 2 Type II, ISO 27001, HIPAA, GDPR, FedRAMP. Regional data residency available. Customer data not used for OpenAI model training.
Bedrock inherits AWS's enterprise security and compliance framework. Data can remain within specific AWS regions for data residency requirements. Model outputs are not used for training. Customer data handling is governed by AWS's standard terms.
Data processed within customer-specified Azure regions. Customer data not used to train OpenAI models. Microsoft enterprise agreements apply to data handling.
- AWS integration simplifies approval for organisations already on AWS
- Comprehensive compliance coverage across HIPAA, SOC 2, ISO 27001
- Access to multiple leading models through one API
- Agents and Knowledge Bases enable enterprise AI application building without custom infrastructure
- Same OpenAI model quality with Azure enterprise compliance coverage
- Regional data residency for GDPR and data sovereignty requirements
- Fits existing Azure enterprise relationships and billing
- HIPAA and FedRAMP coverage for regulated industries
- Developer and enterprise product with no consumer value
- Pricing can become complex for diverse model usage
- Models available more cheaply through direct provider APIs in some cases
- Same or slightly higher cost than direct OpenAI API
- Requires Azure account and familiarity with Azure services
- Less relevant for non-Azure organisations
- Azure service complexity adds overhead for simple use cases
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