Amazon Bedrock AgentCoreEnterprise
AWS framework-agnostic runtime for deploying, securing, evaluating, and governing production agents at scale.
AI Infrastructure comparison
Amazon Bedrock AgentCore vs Databricks Mosaic AI
Pricing, pros, cons, and ideal use cases — side by side.
Databricks Mosaic AIEnterprise
Databricks' suite for building, governing, and serving production AI — agents, RAG, fine-tuning, and evaluation — on top of your governed data.
At a glance
| Amazon Bedrock AgentCore | Databricks Mosaic AI | |
|---|---|---|
| Pricing | EnterpriseConsumption-based AWS pricing across the AgentCore services, billed alongside the rest of your AWS spend. Model inference is billed separately through Bedrock or your chosen provider. | EnterpriseConsumption-based, billed within the Databricks platform; enterprise agreements typical. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Enterprises already running on AWSPlatform teams standardizing an agent runtimeOrganizations needing session isolation and policy enforcementTeams moving agent prototypes into governed production | Enterprises building AI on the Databricks lakehouseData teams that want AI governed alongside dataOrganizations unifying data and AI on one platform |
Pros & cons
Amazon Bedrock AgentCore
Pros
- Framework-agnostic — keep LangGraph, CrewAI, or a custom loop
- Managed identity, memory, gateway, and observability primitives
- Evaluations and Harness cover both production monitoring and pre-production testing
- Policy controls give security teams enforceable guardrails
- Inherits AWS compliance and regional footprint
Cons
- Only sensible if you are already committed to AWS
- Consumption pricing across several services is hard to forecast up front
- Component-by-component GA rollout means capability varies by region
- Steeper learning curve than a hosted agent platform
Databricks Mosaic AI
Pros
- AI built directly on governed lakehouse data
- Unity Catalog lineage and access control extend to AI
- Covers agents, RAG, fine-tuning, serving, and evals
- Strong fit for data-mature enterprises
Cons
- Most valuable only on the Databricks platform
- Platform commitment, not a point solution
- Enterprise pricing and procurement
Which should you choose?
Amazon Bedrock AgentCore is built around enterprises already running on aws; Databricks Mosaic AI leans more toward enterprises building ai on the databricks lakehouse. Shortlist the one whose strengths line up with your biggest constraint.