Sentry vs Datadog vs New Relic: Best Monitoring for Startups (2026)

Your app is crashing and you don't know about it. Users are hitting errors and silently leaving. Monitoring fixes this — but which tool fits your stage and budget? Here's how Sentry, Datadog, and New Relic compare in 2026.

Quick Verdict

	Sentry	Datadog	New Relic
Best for	Error tracking, crash reporting	Full observability (enterprise)	All-in-one (generous free tier)
Core strength	Errors + performance	Infrastructure + APM + logs	APM + logs + errors
Free tier	5K errors/mo	14-day trial	100GB/mo free forever
Pricing	$26/mo (team)	$15+/host/mo (adds up fast)	Free → $0.30/GB
Setup	5 minutes	30+ minutes	15 minutes
Best for stage	Seed → Series A	Series B+	Any stage
Open source	✅ Self-hostable	❌	❌

What Each Tool Actually Does Best

Sentry:    "Your app crashed. Here's the exact line of code, the user who hit it,
            the browser they used, and the release that introduced it."

Datadog:   "Here's everything: server CPU, container metrics, API latency p99,
            log patterns, database slow queries, and distributed traces across
            47 microservices."

New Relic:  "Here's your app performance, errors, and logs in one place.
            Free for small teams. Scales when you need it."

Sentry: Error Tracking That Developers Love

Sentry captures every error with full context:

// Setup — 2 minutes
import * as Sentry from '@sentry/nextjs'

Sentry.init({
  dsn: 'https://your-key@sentry.io/project',
  tracesSampleRate: 0.1, // 10% of transactions for performance
  release: process.env.VERCEL_GIT_COMMIT_SHA,
})

When an error happens, Sentry captures:

Stack trace with source maps (exact line of code)
Breadcrumbs — what the user did before the crash
User context — who was affected
Release tracking — which deploy introduced the bug
Session replay — video of what the user saw

// Automatic error capture — no try/catch needed
// Sentry catches unhandled errors in React, API routes, middleware

// Manual capture for handled errors
try {
  await processPayment(order)
} catch (error) {
  Sentry.captureException(error, {
    tags: { feature: 'payments' },
    extra: { orderId: order.id, amount: order.total },
  })
  // Show user-friendly error
}

Why Teams Choose Sentry

Best error tracking: No one does crash reporting better
Source maps: See the exact TypeScript line, not minified JS
Release health: Track crash-free sessions per deployment
Issue grouping: Smart grouping reduces noise (1,000 errors → 5 issues)
Performance monitoring: Transaction traces with web vitals
Session replay: See exactly what users experienced
Self-hostable: Run Sentry on your own infrastructure (free)

Sentry Pricing

Developer:   Free — 5K errors, 10K performance units, 1 user
Team:        $26/mo — 50K errors, 100K perf, unlimited users
Business:    $80/mo — 100K errors, custom retention

Sentry Limitations

Not full observability: No infrastructure metrics, no log aggregation
Performance is secondary: APM exists but isn't as deep as Datadog/New Relic
No server monitoring: CPU, memory, disk — use something else
Alert fatigue: Default alerts can be noisy without tuning

Datadog: The Enterprise Observability Platform

Datadog is the full observability suite — monitoring everything from infrastructure to application code:

What Datadog Monitors

Infrastructure:  Servers, containers, Kubernetes, cloud services
APM:             Distributed traces, service maps, latency analysis
Logs:            Centralized logging with pattern detection
RUM:             Real user monitoring (frontend performance)
Synthetics:      Uptime checks and API testing
Security:        Threat detection, compliance monitoring
CI/CD:           Pipeline visibility and test performance

Why Teams Choose Datadog

Complete picture: One tool for everything — infra, APM, logs, RUM
Distributed tracing: Follow a request across 20 microservices
Dashboards: Best-in-class visualization and alerting
Integrations: 700+ integrations (AWS, GCP, K8s, databases, everything)
Log analytics: Powerful query language for log exploration
Enterprise-ready: SOC 2, HIPAA, FedRAMP compliance

Datadog Pricing (Where It Gets Painful)

Infrastructure:  $15/host/mo
APM:             $31/host/mo
Logs:            $0.10/GB ingested + $1.70/million indexed
RUM:             $1.50/1K sessions
Synthetics:      $5/1K API tests

Real example — 5 servers, APM, basic logging:
  5 × $15 (infra) + 5 × $31 (APM) + 50GB logs × $0.10
  = $75 + $155 + $5 = $235/mo minimum
  Often $500-1,000+/mo for real usage

Datadog Limitations

Expensive: Costs spiral quickly — the #1 complaint
Complex pricing: Hard to predict your bill
Overkill for small teams: You don't need 700 integrations for 3 services
Setup complexity: Agent installation, configuration, dashboard building
Vendor lock-in: Deep integration makes switching painful

New Relic: The Best Free Tier in Monitoring

New Relic reinvented itself with a generous free tier:

// Setup for Node.js
// newrelic.js at project root
exports.config = {
  app_name: ['My App'],
  license_key: 'your-key',
  distributed_tracing: { enabled: true },
  logging: { level: 'info' },
}

// That's it — New Relic auto-instruments Express, Next.js, database calls

Why Teams Choose New Relic

100GB/month free: APM, logs, errors, infrastructure — actually usable free tier
All-in-one: Single platform for APM, errors, logs, and infrastructure
NRQL: Powerful query language for custom analysis
AI-powered alerts: Anomaly detection reduces false positives
Usage-based pricing: Pay per GB ingested, not per host
Good for any stage: Free tier is genuinely useful for small teams

New Relic Pricing

Free:        100GB/mo, 1 full user, unlimited basic users
Standard:    $0.30/GB over 100GB
Pro:         $0.50/GB — advanced features, priority support

New Relic Limitations

UI complexity: Dashboard can feel overwhelming
Agent overhead: Performance impact on small/edge apps
Query-dependent: Getting value requires learning NRQL
Less specialized: Jack of all trades — error tracking isn't as good as Sentry
Data limits: 100GB sounds like a lot until you turn on verbose logging

Decision Matrix

Startup (0-10 employees, early stage)

Best: Sentry (free) + basic uptime monitoring
Why:  You need error tracking. You don't need infrastructure monitoring yet.
Cost: $0/mo

Growing Team (10-50 employees, Series A)

Best: Sentry (errors) + New Relic (APM + logs, free tier)
Why:  Best error tracking + good enough APM at zero cost
Cost: $26-80/mo (Sentry only, New Relic free)

Scale-Up (50+ employees, Series B+)

Best: Datadog (full observability) or New Relic (all-in-one)
Why:  Microservices need distributed tracing and centralized logs
Cost: $500-5,000+/mo

FAQ

Do I need monitoring for a side project?

At minimum, add Sentry (free tier). Knowing when your app crashes is non-negotiable, even for small projects.

Can Sentry replace Datadog?

For error tracking and basic performance, yes. For infrastructure monitoring, log aggregation, and distributed tracing across many services, no.

Is New Relic's free tier really free forever?

Yes. 100GB/month, 1 full platform user, unlimited basic users. No credit card required. It's genuinely the best free tier in monitoring.

Should I self-host Sentry?

If you have the infrastructure skills and want to save money at scale, yes. Self-hosted Sentry gives you unlimited errors for the cost of running Docker containers.

Bottom Line

Sentry is essential for every app — best error tracking, period. New Relic for teams wanting all-in-one monitoring with an incredible free tier. Datadog for enterprises running complex, multi-service architectures.

Our pick: Start with Sentry (error tracking) + New Relic free tier (APM + logs). Add Datadog only when you outgrow them.