Tool Comparison · 2026 Edition

Dynatrace vs New Relic: AI-Driven vs Usage-Based APM

Both are long-standing APM platforms. Dynatrace leads on AI-driven automation and premium pricing. New Relic reinvented itself with usage-based consumption pricing. Here's how they compare today.

TL;DR

Key takeaways

  • Dynatrace is a premium APM platform with heavy investment in AI (Davis) and automation; pricing is per-memory-hour + DEM units.
  • New Relic shifted to a consumption model in 2020: pay per GB ingested + per user. The free tier is generous (100 GB/month, 1 full-platform user).
  • Dynatrace is more opinionated and automated; New Relic is more flexible and query-driven (NRQL).
  • Both can produce surprise bills at scale — Dynatrace from host growth, New Relic from log/metric volume growth.

Instrumentation and setup

Dynatrace OneAgent installs once and auto-discovers everything on the host. It's the fastest 'install to insight' in the industry.

New Relic has an installer wizard and language-specific agents. Setup is quick but less automatic than Dynatrace.

Both support OpenTelemetry alongside their proprietary agents.

If you want zero-config observability, Dynatrace wins. If you prefer explicit control, New Relic feels less magical.

AI and insight

Dynatrace Davis AI is the clear differentiator: real-time root-cause analysis, auto-grouping of related events, and predictive detection.

New Relic has NR AI (incident intelligence) — competent but less mature than Davis.

If your team values 'the platform figures it out', Dynatrace is ahead. If your team wants to write and tune their own detection, New Relic + NRQL is more transparent.

Pricing comparison

Dynatrace: Full-stack monitoring at ~$0.08/host-hour per 8 GiB RAM. A 50-host, 32 GiB-each environment ≈ $140k/year before DEM units.

New Relic: Free up to 100 GB/month ingest. Beyond that, $0.30/GB ingested. 1 full user free, additional at $49–$549/month depending on tier.

New Relic can be dramatically cheaper for low-telemetry workloads and surprise you for high-cardinality ones. Dynatrace is predictable per-host but expensive.

Both offer committed-spend discounts.

Why teams evaluate Atatus

Atatus delivers APM + infra + logs + RUM + SIEM-light at flat per-host pricing — no per-memory and no per-GB meter.

You get managed observability without Dynatrace's enterprise price tag or New Relic's data-volume surprises.

Atatus AI SRE delivers autonomous root-cause analysis and cross-signal correlation across logs, metrics, and traces — comparable to the Davis-style experience without Dynatrace pricing.

OTel-native, PromQL-compatible, with on-prem option.

Side-by-side comparison

Dynatrace

Pros

  • Davis AI root-cause
  • Auto-instrumentation
  • Full-stack coverage
  • Smartscape topology

Cons

  • Premium pricing
  • Per-memory billing
  • Vendor lock-in via OneAgent
  • Hard to tune AI

Pricing: ~$0.08/host-hour per 8 GiB + DEM units

Best for: Enterprises wanting AI-driven ops

New Relic

Pros

  • Generous free tier (100 GB)
  • Consumption pricing
  • NRQL for ad-hoc analysis
  • Broad feature set

Cons

  • Unpredictable at high volume
  • Dated UI in places
  • Alerting is less polished than Dynatrace

Pricing: $0.30/GB ingest + per-user

Best for: Teams starting small or with variable volume

Atatus

Pros

  • Flat per-host pricing
  • APM + logs + infra + RUM + SIEM-light
  • AI SRE for autonomous RCA across logs, metrics, traces
  • OTel + PromQL
  • On-prem option

Cons

  • Davis has a longer production-tuning history

Pricing: Flat per-host, all signals included

Best for: Teams wanting predictable cost + full-stack coverage

Verdict

Dynatrace wins on automation if your budget supports it. New Relic wins on flexibility and generous free-tier onboarding. Both have pricing modes that can surprise finance. Atatus offers a predictable flat-per-host alternative with coverage comparable to either — plus AI SRE for autonomous root-cause analysis across every signal.

Get flat-priced APM with AI SRE for autonomous RCA

Unified APM, logs, RUM, infrastructure monitoring, and SIEM in one AI observability platform. Flat pricing, zero bill shock.