Databricks
Neon
| Feature | ||
|---|---|---|
| Pricing | Free / from $0.07/mo | Free / from $19/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.5 / 5 |
| Best For | data-engineering-teams, ml-teams, enterprises, large-scale-analytics | startups, jamstack-developers, serverless-apps, side-projects |
| Founded | 2013 | 2021 |
| Data Lakehouse | ✓ | ✗ |
| Sql Analytics | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Data Governance | ✓ | ✗ |
| Notebooks | ✓ | ✗ |
| Delta Lake | ✓ | ✗ |
| Serverless Postgres | ✗ | ✓ |
| Branching | ✗ | ✓ |
| Autoscaling | ✗ | ✓ |
| Scale To Zero | ✗ | ✓ |
| Point In Time Recovery | ✗ | ✓ |
| Connection Pooling | ✗ | ✓ |
| Logical Replication | ✗ | ✓ |
✓ 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
✓ Neon Pros
- Generous free tier with autoscaling
- Database branching for development workflows
- Scale-to-zero reduces costs for low-traffic apps
- Full PostgreSQL compatibility
- Instant database provisioning
✗ Neon Cons
- Relatively new platform (less battle-tested)
- Cold starts when scaling from zero
- Some PostgreSQL extensions not yet supported
The Verdict
Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. Neon targets startups and jamstack developers and leads with serverless-postgres and branching.
On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $19/mo for Neon. That $18.93/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.
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.