Datadog vs New Relic vs Dynatrace: APM Compared

All three do APM well. The choice is about ecosystem, pricing posture, and which dashboard idiom feels right.

Datadog: bundled-everything

Datadog: massive integration catalog; bundled metrics+logs+traces; tight UX. Industry default at scale.

Cost: per-host + per-event + per-feature. Predictable but adds up.

New Relic: priced for ingestion

• New Relic: usage-based pricing model. Pay for what you ingest. Strong at small-to-mid scale where bundled-pricing penalises light usage.
• Reduced complexity for teams not using everything in Datadog.

Dynatrace: AI-led automation

Dynatrace: heavy investment in AI-led root cause and topology. Strong if you want the platform to do the diagnosis work.

Higher per-host cost; opinionated; less flexible for ad-hoc exploration.

Picking among the three

Pick Datadog if: bundled features fit; budget is not the constraint.

Pick New Relic if: you want pay-as-you-grow.

Pick Dynatrace if: you trust their AI to run your APM.

Antipatterns

• Picking on screenshot demos. All three demo well.
• Picking on annual-deal price. True cost is two years out, after usage grows.
• Running two in parallel. Compounds the bill, splits attention.

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.