Amazon Web Services (AWS)
Datadog
| Feature | Amazon Web Services (AWS) | Datadog |
|---|---|---|
| Pricing | Free / from $0/mo | Free / from $15/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.5 / 5 |
| Best For | enterprises, startups, large-scale-applications, machine-learning-teams | devops-teams, sre-teams, cloud-native-companies, enterprises |
| Founded | 2006 | 2010 |
| Compute Ec2 | ✓ | ✗ |
| Storage S3 | ✓ | ✗ |
| Serverless Lambda | ✓ | ✗ |
| Databases Rds | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Containers Ecs | ✓ | ✗ |
| Cdn Cloudfront | ✓ | ✗ |
| Infrastructure Monitoring | ✗ | ✓ |
| Apm | ✗ | ✓ |
| Log Management | ✗ | ✓ |
| Synthetics | ✗ | ✓ |
| Real User Monitoring | ✗ | ✓ |
| Security Monitoring | ✗ | ✓ |
| Dashboards | ✗ | ✓ |
| Alerting | ✗ | ✓ |
✓ Amazon Web Services (AWS) Pros
- Most extensive service catalog of any cloud provider
- Global infrastructure with 30+ regions worldwide
- 12-month free tier covering many services
- Mature enterprise tooling and compliance certifications
✗ Amazon Web Services (AWS) Cons
- Complex pricing that is hard to predict
- Steep learning curve with overwhelming service count
- Console UI feels dated compared to competitors
✓ 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
Amazon Web Services (AWS) is built for enterprises and startups, with a focus on compute-ec2 and storage-s3. Datadog targets devops teams and sre teams and leads with infrastructure-monitoring and apm.
On pricing, Amazon Web Services (AWS) is the clear winner for budget-conscious users — starting at $0/mo compared to $15/mo for Datadog. That $15/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 Amazon Web Services (AWS) 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.