Databricks
PostHog
| Feature | Databricks | PostHog |
|---|---|---|
| Pricing | Free / from $0.07/mo | Free / from $0/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.5 / 5 |
| Best For | data-engineering-teams, ml-teams, enterprises, large-scale-analytics | developers, startups, product-teams, privacy-conscious-companies |
| Founded | 2013 | 2020 |
| Data Lakehouse | ✓ | ✗ |
| Sql Analytics | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Data Governance | ✓ | ✗ |
| Notebooks | ✓ | ✗ |
| Delta Lake | ✓ | ✗ |
| Product Analytics | ✗ | ✓ |
| Session Replay | ✗ | ✓ |
| Feature Flags | ✗ | ✓ |
| Experiments | ✗ | ✓ |
| Surveys | ✗ | ✓ |
| Data Warehouse | ✗ | ✓ |
| Self Hosting | ✗ | ✓ |
✓ 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
✓ PostHog Pros
- All-in-one analytics replacing multiple tools
- Generous free tier (1M events/month)
- Self-hostable for full data control
- Feature flags and experiments built-in
✗ PostHog Cons
- Can be complex to set up properly
- Self-hosting requires infrastructure maintenance
- Less polished UI than Amplitude
The Verdict
Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. PostHog targets developers and startups and leads with product-analytics and session-replay.
Both tools come in at similar price points ($0.07/mo for Databricks, $0/mo for PostHog), so pricing won't make the decision for you.
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.