Databricks
Evidence
| Feature | Evidence | |
|---|---|---|
| Pricing | Free / from $0.07/mo | Free / from $49/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.3 / 5 |
| Best For | data-engineering-teams, ml-teams, enterprises, large-scale-analytics | data-analysts, data-engineers, startups, analytics-teams |
| Founded | 2013 | 2021 |
| Data Lakehouse | ✓ | ✗ |
| Sql Analytics | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Data Governance | ✓ | ✗ |
| Notebooks | ✓ | ✗ |
| Delta Lake | ✓ | ✗ |
| Sql Reporting | ✗ | ✓ |
| Markdown Pages | ✗ | ✓ |
| Charts | ✗ | ✓ |
| Static Deployment | ✗ | ✓ |
| Git Integration | ✗ | ✓ |
| Data Sources | ✗ | ✓ |
✓ 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
✓ Evidence Pros
- Code-based reports (version controlled)
- Beautiful output
- Fast static deployment
- SQL-first approach
✗ Evidence Cons
- Requires SQL knowledge
- Not for ad-hoc exploration
- Smaller community
The Verdict
Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. Evidence targets data analysts and data engineers and leads with sql-reporting and markdown-pages.
On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $49/mo for Evidence. That $48.93/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 Evidence takes a more focused approach — which can mean a simpler, faster onboarding experience.
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.