Databricks
Datadog
| Feature | Databricks | Datadog |
|---|---|---|
| Pricing | Free / from $0.07/mo | Free / from $15/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.5 / 5 |
| Best For | data-engineering-teams, ml-teams, enterprises, large-scale-analytics | devops-teams, sre-teams, cloud-native-companies, enterprises |
| Founded | 2013 | 2010 |
| Data Lakehouse | ✓ | ✗ |
| Sql Analytics | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Data Governance | ✓ | ✗ |
| Notebooks | ✓ | ✗ |
| Delta Lake | ✓ | ✗ |
| Infrastructure Monitoring | ✗ | ✓ |
| Apm | ✗ | ✓ |
| Log Management | ✗ | ✓ |
| Synthetics | ✗ | ✓ |
| Real User Monitoring | ✗ | ✓ |
| Security Monitoring | ✗ | ✓ |
| Dashboards | ✗ | ✓ |
| Alerting | ✗ | ✓ |
✓ 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
✓ Datadog Pros
- Unified platform for metrics, traces, logs, and security
- 750+ integrations with cloud services and tools
- Powerful dashboards and alerting system
- AI-powered anomaly detection
✗ Datadog Cons
- Per-host pricing becomes expensive at scale
- Complex pricing with many add-ons
- Data ingestion costs can be unpredictable
The Verdict
Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. Datadog targets devops teams and sre teams and leads with infrastructure-monitoring and apm.
On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $15/mo for Datadog. That $14.93/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, Datadog offers broader built-in capabilities (8 features vs 7), while Databricks 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.