AWS CloudWatch vs Datadog: When to Stick With Native
CloudWatch was a punchline for years. In 2026, it is a credible default for many AWS-only workloads.
What CloudWatch can now do
CloudWatch: metrics, logs (Logs Insights), traces (X-Ray), dashboards. All AWS-managed.
Improvements over the last 3 years narrowed the gap with paid platforms.
Where it still falls short
- Falls short on: cross-account aggregation, cross-cloud, ad-hoc query depth, dashboard polish.
- Strong if you live entirely in one AWS account; weak when you have ten.
When to stick with native
Single-account AWS-only workloads. Cost-sensitive teams. Teams that already run on a CloudWatch-driven workflow.
At meaningful AWS scale, CloudWatch can save $5k-$50k/mo vs Datadog. Real money.
When to invest in Datadog
Multi-cloud or multi-account at scale. Need broader integrations. Want polished dashboard culture.
Datadog wins decisively when the AWS-native limits become daily friction.
Antipatterns
- Default to Datadog because ‘everyone does.’ Verify CloudWatch does not solve your case.
- CloudWatch with no metric retention strategy. Default 15 months; cost surprises possible.
- Switching twice in two years. Pick and commit.
What to do this week
Three moves. (1) Run a 30-day trial of the candidate against your real workload. (2) Compare TCO + workflow fit, not just feature checklists. (3) Decide and commit; running both in parallel is the most expensive option.