Datadog
Depot
| Feature | Depot | |
|---|---|---|
| Pricing | Free / from $15/mo | Free / from $20/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.5 / 5 |
| Best For | devops-teams, sre-teams, cloud-native-companies, enterprises | engineering-teams, ci-cd-pipelines, monorepo-teams, docker-heavy-teams |
| Founded | 2010 | 2022 |
| Infrastructure Monitoring | ✓ | ✗ |
| Apm | ✓ | ✗ |
| Log Management | ✓ | ✗ |
| Synthetics | ✓ | ✗ |
| Real User Monitoring | ✓ | ✗ |
| Security Monitoring | ✓ | ✗ |
| Dashboards | ✓ | ✗ |
| Alerting | ✓ | ✗ |
| Fast Builds | ✗ | ✓ |
| Remote Caching | ✗ | ✓ |
| Github Actions | ✗ | ✓ |
| Multi Platform Builds | ✗ | ✓ |
| Buildkit Compatible | ✗ | ✓ |
| Build Analytics | ✗ | ✓ |
✓ 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
✓ Depot Pros
- Dramatically faster Docker builds
- Drop-in replacement for docker build
- Native layer caching
- GitHub Actions integration
✗ Depot Cons
- Only for container builds
- Costs scale with usage
- Newer platform
The Verdict
Datadog is built for devops teams and sre teams, with a focus on infrastructure-monitoring and apm. Depot targets engineering teams and ci cd pipelines and leads with fast-builds and remote-caching.
On pricing, Datadog is the clear winner for budget-conscious users — starting at $15/mo compared to $20/mo for Depot. That $5/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 Depot 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.