Databricks
Dify
| Feature | Databricks | Dify |
|---|---|---|
| Pricing | Free / from $0.07/mo | Free / from $59/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.5 / 5 |
| Best For | data-engineering-teams, ml-teams, enterprises, large-scale-analytics | ai-builders, non-technical-teams, enterprises, developers |
| Founded | 2013 | 2023 |
| Data Lakehouse | ✓ | ✗ |
| Sql Analytics | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Data Governance | ✓ | ✗ |
| Notebooks | ✓ | ✗ |
| Delta Lake | ✓ | ✗ |
| Visual Orchestration | ✗ | ✓ |
| Rag Pipeline | ✗ | ✓ |
| Agent Mode | ✗ | ✓ |
| Multi Model | ✗ | ✓ |
| Knowledge Base | ✗ | ✓ |
| Api Access | ✗ | ✓ |
✓ Databricks Pros
- Unified platform for data engineering, science, and analytics
- Delta Lake provides ACID transactions on data lakes
- Excellent ML/AI capabilities with MLflow integration
- Community Edition is free for learning
✗ Databricks Cons
- Complex pricing with DBU credits
- Requires data engineering expertise to configure
- Vendor lock-in once deeply integrated
✓ Dify Pros
- Open-source and self-hostable
- Visual workflow builder
- Built-in RAG pipeline
- Multi-model support
✗ Dify Cons
- Complex for simple chatbots
- Self-hosting requires resources
- Documentation improving
The Verdict
Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. Dify targets ai builders and non technical teams and leads with visual-orchestration and rag-pipeline.
On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $59/mo for Dify. That $58.93/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Databricks offers broader built-in capabilities (7 features vs 6), while Dify takes a more focused approach — which can mean a simpler, faster onboarding experience.
Both tools are a solid fit for enterprises — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.