Datadog
Hex
| Feature | Datadog | Hex |
|---|---|---|
| Pricing | Free / from $15/mo | Free / from $28/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.4 / 5 |
| Best For | devops-teams, sre-teams, cloud-native-companies, enterprises | data-analysts, data-scientists, analytics-engineers, data-teams |
| Founded | 2010 | 2019 |
| Infrastructure Monitoring | ✓ | ✗ |
| Apm | ✓ | ✗ |
| Log Management | ✓ | ✗ |
| Synthetics | ✓ | ✗ |
| Real User Monitoring | ✓ | ✗ |
| Security Monitoring | ✓ | ✗ |
| Dashboards | ✓ | ✗ |
| Alerting | ✓ | ✗ |
| Sql Cells | ✗ | ✓ |
| Python Cells | ✗ | ✓ |
| Charts | ✗ | ✓ |
| Data Apps | ✗ | ✓ |
| Scheduling | ✗ | ✓ |
| Version History | ✗ | ✓ |
✓ 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
✓ Hex Pros
- SQL + Python in one tool
- Beautiful data apps
- Collaborative notebooks
- Good sharing features
✗ Hex Cons
- Expensive for teams
- Learning curve for non-technical
- Limited self-hosting
The Verdict
Datadog is built for devops teams and sre teams, with a focus on infrastructure-monitoring and apm. Hex targets data analysts and data scientists and leads with sql-cells and python-cells.
On pricing, Datadog is the clear winner for budget-conscious users — starting at $15/mo compared to $28/mo for Hex. That $13/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 6), while Hex 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.