# AWS Bedrock vs Azure OpenAI: who uses which

On usedby, 35 companies use AWS Bedrock and 3 use Azure OpenAI. 1 company uses both, including Inkeep. Counts include every proof level, job-post signals included; each company keeps its proof level on each side. Latest check 2026-11-15: 37 of 38 public lines checked.

## Side by side

|  | [AWS Bedrock](https://www.usedby.ai/tools/aws-bedrock.md) | [Azure OpenAI](https://www.usedby.ai/tools/azure-openai.md) |
|---|---|---|
| Public customers | 35 | 3 |
| Confirmed | 16 | 0 |
| Observed | 9 | 0 |
| Signals (job posts) | 7 | 1 |
| Top industries of customers (every proof level) | Artificial Intelligence (3), Cybersecurity (3), Marketing Tech (3) | Artificial Intelligence (2), Legal & Compliance (1) |
| Category | AI inference & GPU cloud | Foundation models & model APIs |
| Security | CSA STAR Level 2 ([aws.amazon.com](https://aws.amazon.com/bedrock/security-compliance/), checked 2026-10-26) | — |
| Your data | Foundation models · Bedrock excludes your data from foundation model training. Fine-tuning uses a private copy. ([aws.amazon.com](https://aws.amazon.com/bedrock/security-privacy-responsible-ai/), checked 2026-11-13) | — |
| Pricing | Cohere Rerank 3.5 · on-demand · $2 / 1,000 queries ([aws.amazon.com](https://aws.amazon.com/bedrock/pricing/), checked 2026-11-13) | — |

## Companies that use both

Every proof level counts; the proof level of each side is shown, strongest proofs first. The first public proof is not an adoption date.

| Company | Proof, AWS Bedrock | Proof, Azure OpenAI | First public proof, AWS Bedrock | First public proof, Azure OpenAI |
|---|---|---|---|---|
| [Inkeep](https://www.usedby.ai/companies/inkeep.md) | Declared by the company | Declared by the company | On or before November 2026 | On or before November 2026 |

## Published results

Reviewed stories only; usedby did not measure the figures.

- AWS Bedrock: [Cox Automotive](https://www.usedby.ai/case-studies/cox-automotive-aws-bedrock.md): **30 minutes**: “30 minutes to complete estimates that previously took 8-48 hours” (captured by usedby 2026-11-11)
- AWS Bedrock: [Doordash](https://www.usedby.ai/case-studies/building-a-generative-ai-contact-center-solution-f.md): **50 percent**: “reduced generative AI application development time by 50 percent” (captured by usedby 2026-11-11)

## Evidence for your decision: AWS Bedrock

Source observations. Check the required plan and conditions before choosing.

### Documented tasks

- AstraZeneca — Automate internal business workflows
  > The teams developed this solution using Amazon Bedrock Agents, which uses multi-agent architecture to automate multistep tasks by seamlessly connecting with company systems, APIs, and data sources.
  [Source](<https://aws.amazon.com/solutions/case-studies/astrazeneca-case-study/>) · VENDOR CASE STUDY · Captured: 2026-10-09T22:50:51.196Z
- Blue Origin — Automate internal business workflows
  > Blue Origin built an AI ecosystem called BlueGPT — a secure LLM gateway, agent marketplace, and multi-agent orchestration platform built using Strands Agents SDK for a model-based agentic design framework, Amazon Bedrock for agent deployment and model access, Amazon EKS for agent runtime envions, Amazon OpenSearch for Retrieval-Augmented Generation (RAG) knowledge bases, Amazon RDS for general purpose databases, and AWS Lambda for scaling serverless workflow automations across all services.
  [Source](<https://aws.amazon.com/es/solutions/case-studies/blue-origin-case-study/>) · VENDOR CASE STUDY · Captured: 2026-10-09T22:51:12.345Z

### Choice criteria

- Pricing: Select-model batch inference discount — Recheck required
  Plan: Unknown · Checked: 2026-10-24T09:17:23.433021+00:00
  > Amazon Bedrock offers select foundation models (FMs) from leading AI providers like Anthropic, Meta, Mistral AI, and Amazon for batch inference at a 50% lower price compared to on-demand inference pricing.
  [Source](<https://aws.amazon.com/bedrock/pricing/>) · Documented · Not tested
  Product: aws-bedrock
  Setup and limits: Named plan, contract entitlement, connector scopes, permissions, volume limits and regional eligibility remain unknown.; Documented only; not\_tested. No authenticated vendor operation executed.; Discount applies only to select supported foundation models in batch inference; model list, region, account eligibility and actual charges require separate checks.
  Scope: Batch inference
  Conditions: 50% lower price compared with on-demand inference applies only to select supported foundation models; supported model list, region and account eligibility require separate checks.; Product scope needs verification


## Capabilities for agents: AWS Bedrock

Documentation and operational tests are separate. A test covers only the stated task and operation.

No reviewed capability profile yet.

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Source: https://www.usedby.ai/compare/aws-bedrock-vs-azure-openai · How we check: https://www.usedby.ai/methodology