Databricks
Gong
| Feature | ||
|---|---|---|
| Pricing | Free / from $0.07/mo | Contact sales |
| Free Plan | ✓ Yes | ✗ No |
| Rating | 4.5 / 5 | 4.6 / 5 |
| Best For | data-engineering-teams, ml-teams, enterprises, large-scale-analytics | sales-leaders, enterprise-sales, revenue-teams, sales-enablement |
| Founded | 2013 | 2015 |
| Data Lakehouse | ✓ | ✗ |
| Sql Analytics | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Data Governance | ✓ | ✗ |
| Notebooks | ✓ | ✗ |
| Delta Lake | ✓ | ✗ |
| Call Recording | ✗ | ✓ |
| Deal Intelligence | ✗ | ✓ |
| Coaching | ✗ | ✓ |
| Forecasting | ✗ | ✓ |
| Market Intelligence | ✗ | ✓ |
| Engagement Data | ✗ | ✓ |
| Integrations | ✗ | ✓ |
✓ 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
✓ Gong Pros
- AI automatically identifies winning behaviors in calls
- Deal intelligence predicts close probability
- Powerful coaching features for sales managers
- Integrates with all major CRM and video tools
✗ Gong Cons
- Very expensive (typically $100+/user/month)
- Requires minimum user commitments
- Reps may feel monitored — trust issues
The Verdict
Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. Gong targets sales leaders and enterprise sales and leads with call-recording and deal-intelligence.
Gong uses custom enterprise pricing, while Databricks starts at $0.07/mo — a tangible advantage for teams with a fixed budget.
Databricks has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. Gong requires a paid subscription from day one.
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.