Datadog
By Datadog Inc.
A monitoring and analytics platform for large-scale applications.
AWS Xray
By Amazon Web Services
A service that provides analytics and insights for distributed applications.
Comparison Matrix
| Feature | Datadog | AWS Xray |
|---|---|---|
| Pricing | $15/Host | $5/1 million traces |
| Supported Integrations | 400+ | 100+ |
| Data Retention | 15 months | 30 days |
| Alerting and Notification | Yes | No |
| Security and Compliance | Yes | Yes |
| Customer Support | 24/7 | 24/7 |
Overall Score Comparison
Feature Benchmark Ratings
Datadog Analysis
Pros
- Comprehensive monitoring and analytics capabilities
- Wide range of supported integrations
- Longer data retention period
Cons
- Higher cost compared to AWS Xray
- More complex setup and configuration
AWS Xray Analysis
Pros
- Native integration with AWS services
- Cost-effective pricing model
- Simpler setup and configuration
Cons
- Less comprehensive monitoring and analytics capabilities compared to Datadog
- Shorter data retention period
AI Verdict
Datadog is the winner due to its comprehensive monitoring and analytics capabilities, wider range of supported integrations, and longer data retention period. However, AWS Xray is a cost-effective alternative that is suitable for businesses and individuals who are already using AWS services.
Frequently Asked Questions
What is the main difference between Datadog and AWS Xray?
Datadog is a comprehensive monitoring and analytics platform, while AWS Xray is a service that provides analytics and insights for distributed applications.
Which one is more cost-effective?
AWS Xray is more cost-effective due to its pricing model based on the number of traces.
Can I use Datadog with AWS services?
Yes, Datadog supports integrations with AWS services.
What is the data retention period for Datadog and AWS Xray?
Datadog has a data retention period of 15 months, while AWS Xray has a data retention period of 30 days.
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Comparison Audit Summary
This dynamic audit side-by-side report for Datadog vs AWS Xray has been automatically generated using our proprietary AI model. The ratings, features, and final verdict represent an aggregate evaluation across official documentation, technical benchmarks, and market feedback as of June 2026.
