Vendors · Comparison
Amazon Bedrock Provisioned Throughput vs Databricks Model Serving
Side-by-side comparison of Amazon Bedrock Provisioned Throughput and Databricks Model Serving for single-tenant LLM hosting. Deployment options, compliance, pricing, and operational fit compared.
Amazon Bedrock Provisioned Throughput
Provisioned Throughput reserves per-model capacity in Model Units (MUs), billed hourly with no-commitment, 1-month, or 6-month terms; required for serving customised models. AWS states Bedrock content is stored at rest in the Region of use and not shared with model providers. Example per-MU rates are published for some models; most quotes require an AWS account team.
Databricks Model Serving
Mosaic AI Model Serving deploys custom MLflow models and fine-tuned foundation models on Databricks-managed serverless compute; provisioned throughput allocates dedicated inference capacity. Trust pages list ISO 27001:2022 (including AWS single-tenant), SOC 2 Type II report on request, HIPAA options, FedRAMP Moderate/High; a standard BAA is published. DPA with SCCs published. Databricks, Inc. is headquartered in San Francisco.
From the data
Key differences
- Category Amazon Bedrock Provisioned Throughput is a Hyperscaler dedicated offering; Databricks Model Serving is Managed self-host.
- Compliance Both document SOC 2 Type II, ISO 27001, HIPAA BAA, FedRAMP and GDPR DPA. Only Amazon Bedrock Provisioned Throughput documents SOC 3 and C5.
- Data residency Amazon Bedrock Provisioned Throughput has a verified residency guarantee; Databricks Model Serving's residency guarantee is not verified.
- Jurisdiction Both parent companies are under US jurisdiction.
- Pricing Amazon Bedrock Provisioned Throughput: Per Model Unit (MU) per hour; no-commitment, 1-month, or 6-month terms (no published pricing). Databricks Model Serving: Per DBU per hour by GPU instance size (e.g. A10G 20 DBU/hour); per-token Foundation Model APIs (published pricing).
Generated from the verified vendor data below; sources and dates on each vendor profile.
Side by side
Capabilities compared
| Amazon Bedrock Provisioned Throughput | Databricks Model Serving | |
|---|---|---|
| Category | Hyperscaler dedicated | Managed self-host |
| Deployment models | Provisioned throughputCustom model (provisioned) | Custom model servingProvisioned throughputPay-per-token endpoints |
| Regions | US, Europe, Asia-Pacific | US, Europe, Asia-Pacific |
| Compliance | SOC 2 Type IISOC 3ISO 27001HIPAA BAAC5FedRAMPGDPR DPA | SOC 2 Type IIISO 27001HIPAA BAAFedRAMPGDPR DPA |
| Pricing model | Per Model Unit (MU) per hour; no-commitment, 1-month, or 6-month terms | Per DBU per hour by GPU instance size (e.g. A10G 20 DBU/hour); per-token Foundation Model APIs |
| Public pricing | No | Yes |
| Residency guarantee | Yes | Not verified |
| Parent jurisdiction | US | US |
| Analyst note | Provisioned Throughput reserves per-model capacity in Model Units (MUs), billed hourly with no-commitment, 1-month, or 6-month terms; required for serving customised models. AWS states Bedrock content is stored at rest in the Region of use and not shared with model providers. Example per-MU rates are published for some models; most quotes require an AWS account team. | Mosaic AI Model Serving deploys custom MLflow models and fine-tuned foundation models on Databricks-managed serverless compute; provisioned throughput allocates dedicated inference capacity. Trust pages list ISO 27001:2022 (including AWS single-tenant), SOC 2 Type II report on request, HIPAA options, FedRAMP Moderate/High; a standard BAA is published. DPA with SCCs published. Databricks, Inc. is headquartered in San Francisco. |
Where they diverge
Deployment differentiation
Only Amazon Bedrock Provisioned Throughput
Both
Only Databricks Model Serving
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