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 Groq
Pricing, pros, cons, and ideal use cases — side by side.
GroqFreemium
An inference provider whose custom LPU hardware delivers exceptionally low-latency responses for open-weight models.
At a glance
| Databricks Mosaic AI | Groq | |
|---|---|---|
| Pricing | EnterpriseConsumption-based, billed within the Databricks platform; enterprise agreements typical. | FreemiumFree tier for evaluation. Usage-based paid tiers for production volume. |
| 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 | Latency-sensitive applications like voice agentsReal-time and interactive AI experiencesTeams running supported open models |
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
Groq
Pros
- Exceptional inference speed and low latency
- OpenAI-compatible API, easy to adopt
- Strong fit for real-time use cases
- Competitive usage pricing
Cons
- Curated model selection, not every model
- Pure inference — no platform or governance layer
- Capacity can be constrained at peak demand
Which should you choose?
Groq 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; Groq leans more toward latency-sensitive applications like voice agents. Shortlist the one whose strengths line up with your biggest constraint.