Databricks Mosaic AIEnterprise
Databricks' suite for building, governing, and serving production AI — agents, RAG, fine-tuning, and evaluation — on top of your governed data.
AI Infrastructure comparison
Databricks Mosaic AI vs LiteLLM
Pricing, pros, cons, and ideal use cases — side by side.
LiteLLMFreemium
An open-source LLM gateway that gives you one consistent API and proxy across 100+ model providers, with key management and spend tracking.
At a glance
| Databricks Mosaic AI | LiteLLM | |
|---|---|---|
| Pricing | EnterpriseConsumption-based, billed within the Databricks platform; enterprise agreements typical. | FreemiumOpen-source and free to self-host. A paid enterprise edition adds SSO, audit logs, and support. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Enterprises building AI on the Databricks lakehouseData teams that want AI governed alongside dataOrganizations unifying data and AI on one platform | Teams using multiple model providersPlatform teams centralizing LLM access and spendEnterprises wanting provider portability |
Pros & cons
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
LiteLLM
Pros
- One consistent API across 100+ providers
- Proxy adds key management, budgets, and spend logging
- Avoids provider lock-in
- Lightweight to adopt
Cons
- Self-hosting the proxy is your operational burden
- A gateway is one more hop to monitor
- Advanced governance features are in the paid edition
Which should you choose?
LiteLLM is the lighter-weight option (Freemium), while Databricks Mosaic AI sits higher on the pricing ladder (Enterprise). Databricks Mosaic AI is built around enterprises building ai on the databricks lakehouse; LiteLLM leans more toward teams using multiple model providers. Shortlist the one whose strengths line up with your biggest constraint.