Pick / avoid summary (fast)
Skim these triggers to pick a default, then validate with the quick checks and constraints below.
- Cloud-native teams running 50-500 hosts that want a single vendor for infrastructure, APM, and logs without stitching together open-source tools.
- Organizations where the engineering team values pre-built integrations and fast setup over cost optimization and data portability.
- Teams running Kubernetes workloads that need container-aware monitoring with auto-discovery and orchestrator-level visibility.
- Teams with many microservices or containers where per-host pricing (Datadog) would be expensive — consumption-based pricing rewards efficient instrumentation.
- Startups and small teams that need production-grade observability without upfront commitment — the 100GB free tier covers real workloads.
- Organizations with strong .NET or Java applications where New Relic's two decades of APM instrumentation depth matters.
- Cost compounds quickly: infrastructure ($15/host) + APM ($31/host) + logs ($0.10/GB) + synthetics + security = $80-150+/host/month fully instrumented
- Per-host pricing penalizes auto-scaling environments — a fleet that scales from 10 to 100 hosts during peaks costs 10x more
- Per-GB pricing makes cost unpredictable for teams that don't monitor ingestion volume — a logging misconfiguration can spike bills overnight
- User pricing adds cost: full-platform users at $549/month (annual) vs basic users at $0 — team access gets expensive quickly
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CheckEvaluate based on your specific workload, not feature lists.
At-a-glance comparison
Datadog
Unified monitoring platform combining infrastructure metrics ($15/host/mo), APM ($31/host/mo), and log management ($0.10/GB/day) with 750+ integrations. Breadth is the selling point; cost compounds as you add modules.
- 750+ integrations cover virtually every cloud service, database, and framework out of the box
- Unified platform means metrics, traces, and logs are correlated in a single UI without stitching tools together
- Infrastructure monitoring auto-discovers hosts, containers, and services with minimal configuration
New Relic
Full-stack observability with consumption-based pricing ($0.30/GB after 100GB free/month). Covers APM, infrastructure, logs, and browser monitoring. The most generous free tier in the category.
- 100GB/month free tier with 1 full-platform user — enough to monitor a small production environment indefinitely
- Consumption-based pricing ($0.30/GB) benefits teams with many small services where per-host pricing would be expensive
- Full-stack coverage: APM, infrastructure, logs, browser, mobile, serverless, and Kubernetes in one platform
What breaks first (decision checks)
These checks reflect the common constraints that decide between Datadog and New Relic in this category.
If you only read one section, read this — these are the checks that force redesigns or budget surprises.
- Real trade-off: The most-searched monitoring comparison. Both offer full-stack observability but with fundamentally different pricing models: Datadog charges per-host ($15-31/host) while New Relic charges per-GB ($0.30/GB after 100GB free). The decision turns on infrastructure shape and data volume patterns.
- Unified platform vs best-of-breed tools: How many signal types do you need today (metrics, traces, logs, errors)?
- Cost model: per-host vs per-GB vs per-event: Is your host count stable or does it scale 3-10x during peaks?
- Data portability vs vendor convenience: How important is it that your dashboards and alerts survive a vendor change?
Implementation gotchas
These are the practical downsides teams tend to discover during setup, rollout, or scaling.
Where Datadog surprises teams
- Cost compounds quickly: infrastructure ($15/host) + APM ($31/host) + logs ($0.10/GB) + synthetics + security = $80-150+/host/month fully instrumented
- Per-host pricing penalizes auto-scaling environments — a fleet that scales from 10 to 100 hosts during peaks costs 10x more
- Log management pricing at $0.10/GB ingested per day makes high-volume logging expensive compared to Grafana Loki or self-hosted ELK
Where New Relic surprises teams
- Per-GB pricing makes cost unpredictable for teams that don't monitor ingestion volume — a logging misconfiguration can spike bills overnight
- User pricing adds cost: full-platform users at $549/month (annual) vs basic users at $0 — team access gets expensive quickly
- The platform UI has accumulated complexity from years of acquisitions and feature additions — newer engineers find navigation confusing
Where each product pulls ahead
These are the distinctive advantages that matter most in this comparison.
Datadog advantages
- 750+ integrations cover virtually every cloud service, database, and framework out of the box
- Unified platform means metrics, traces, and logs are correlated in a single UI without stitching tools together
New Relic advantages
- 100GB/month free tier with 1 full-platform user — enough to monitor a small production environment indefinitely
- Consumption-based pricing ($0.30/GB) benefits teams with many small services where per-host pricing would be expensive
Pros and cons
Datadog
Pros
- Cloud-native teams running 50-500 hosts that want a single vendor for infrastructure, APM, and logs without stitching together open-source tools.
- Organizations where the engineering team values pre-built integrations and fast setup over cost optimization and data portability.
- Teams running Kubernetes workloads that need container-aware monitoring with auto-discovery and orchestrator-level visibility.
Cons
- Cost compounds quickly: infrastructure ($15/host) + APM ($31/host) + logs ($0.10/GB) + synthetics + security = $80-150+/host/month fully instrumented
- Per-host pricing penalizes auto-scaling environments — a fleet that scales from 10 to 100 hosts during peaks costs 10x more
- Log management pricing at $0.10/GB ingested per day makes high-volume logging expensive compared to Grafana Loki or self-hosted ELK
- Vendor lock-in is real: custom metrics, dashboards, and monitors don't export cleanly to other platforms
New Relic
Pros
- Teams with many microservices or containers where per-host pricing (Datadog) would be expensive — consumption-based pricing rewards efficient instrumentation.
- Startups and small teams that need production-grade observability without upfront commitment — the 100GB free tier covers real workloads.
- Organizations with strong .NET or Java applications where New Relic's two decades of APM instrumentation depth matters.
Cons
- Per-GB pricing makes cost unpredictable for teams that don't monitor ingestion volume — a logging misconfiguration can spike bills overnight
- User pricing adds cost: full-platform users at $549/month (annual) vs basic users at $0 — team access gets expensive quickly
- The platform UI has accumulated complexity from years of acquisitions and feature additions — newer engineers find navigation confusing
- Some newer modules (logs, Kubernetes monitoring) feel less mature than Datadog's equivalents
Neither Datadog nor New Relic quite fits?
That usually means a constraint isn’t matching — use the comparisons below to narrow down, or go back to the category hub to start from your requirements.
Keep exploring this category
If you’re close to a decision, the fastest next step is to read 1–2 more head-to-head briefs, then confirm pricing limits in the product detail pages.
FAQ
How do you choose between Datadog and New Relic?
Choose Datadog when cloud-native teams running 50-500 hosts that want a single vendor for infrastructure, apm, and logs without stitching together open-source tools.. Choose New Relic when teams with many microservices or containers where per-host pricing (datadog) would be expensive — consumption-based pricing rewards efficient instrumentation..
When should you pick Datadog?
Pick Datadog when: Cloud-native teams running 50-500 hosts that want a single vendor for infrastructure, APM, and logs without stitching together open-source tools.; Organizations where the engineering team values pre-built integrations and fast setup over cost optimization and data portability.; Teams running Kubernetes workloads that need container-aware monitoring with auto-discovery and orchestrator-level visibility..
When should you pick New Relic?
Pick New Relic when: Teams with many microservices or containers where per-host pricing (Datadog) would be expensive — consumption-based pricing rewards efficient instrumentation.; Startups and small teams that need production-grade observability without upfront commitment — the 100GB free tier covers real workloads.; Organizations with strong .NET or Java applications where New Relic's two decades of APM instrumentation depth matters..
What’s the real trade-off between Datadog and New Relic?
The most-searched monitoring comparison. Both offer full-stack observability but with fundamentally different pricing models: Datadog charges per-host ($15-31/host) while New Relic charges per-GB ($0.30/GB after 100GB free). The decision turns on infrastructure shape and data volume patterns.
What’s the most common mistake buyers make in this comparison?
Choosing between Datadog and New Relic based on feature checklists without testing with your actual workload patterns and data volumes — the right choice depends on your specific use case, not marketing comparisons.
What’s the fastest elimination rule?
Pick Datadog if cloud-native teams running 50-500 hosts that want a single vendor for infrastructure, apm, and logs without stitching together open-source tools..
What breaks first with Datadog?
Monthly bill exceeds budget when team enables APM + logs + security across all hosts — typical for teams that start with infrastructure-only and expand. Auto-scaling cost spikes during peak traffic when host count triples and per-host billing follows. Custom metric cardinality explosion when developers instrument application-specific metrics without governance on label dimensions.
What are the hidden constraints of Datadog?
Custom metrics beyond the included 100/host are billed at $0.05/metric/month — high-cardinality instrumentation can generate thousands of custom metrics. Log retention defaults to 15 days; extending to 30+ days doubles the storage cost per GB. Indexed logs (searchable) cost more than archived logs — teams often discover they need indexed logs after setting up archival-only pipelines.
What breaks first with New Relic?
Monthly ingestion bill spikes when a new service or logging change pushes volume past the free tier unexpectedly. Team access becomes a bottleneck when only 1 full-platform user can access advanced features and others are limited to basic views. Data retention proves too short at 8 days for incident investigation — teams discover they need Data Plus after losing historical data.
What are the hidden constraints of New Relic?
Full-platform users ($549/mo) vs basic users ($0) creates a two-tier access model that frustrates teams wanting equal access. Default data retention is 8 days for most telemetry — extending retention requires Data Plus at $0.50/GB. High-cardinality custom attributes are subject to limits — exceeding them silently drops data without obvious errors.
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Sources & verification
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