Datadog vs New Relic — APM Platform Comparison for DevOps Teams

Sanjeev SharmaSanjeev Sharma
6 min read

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Introduction

Why This Matters

Choosing an Application Performance Monitoring (APM) platform is a significant investment — both financially and in terms of agent installation across your entire fleet. Datadog and New Relic are the two dominant commercial APM vendors, and the right choice depends on your team size, cloud provider, existing tooling, and monitoring complexity. This comparison covers real-world differences in pricing, features, and operational experience.

Feature Comparison

FeatureDatadogNew Relic
Pricing modelPer-host or per-custom-metricPer GB data ingested
Free tierNone (14-day trial)100GB/month free forever
APMExcellent, deep tracesExcellent, distributed tracing
Infrastructure monitoringIndustry-leadingGood
Log managementIntegrated, powerfulIntegrated
SyntheticsComprehensiveAvailable
DashboardsPolished, flexibleModern, queryable
AlertsFeature-rich, complexSimpler, NRQL-based
Integrations700+400+
Mobile APMYesYes
AI/anomaly detectionWatchdog AIApplied Intelligence
Learning curveSteepModerate
Support qualityExcellentGood

Datadog Setup

# Install Datadog Agent (Ubuntu/Debian)
DD_AGENT_MAJOR_VERSION=7 \
DD_API_KEY=your-api-key \
DD_SITE="datadoghq.com" \
bash -c "$(curl -L https://install.datadoghq.com/scripts/install_agent.sh)"
 
# Verify agent status
sudo datadog-agent status
 
# Configure agent
cat > /etc/datadog-agent/datadog.yaml << 'EOF'
api_key: your-api-key
site: datadoghq.com
hostname: my-server
tags:
  - env:production
  - service:my-api
  - team:backend
logs_enabled: true
apm_config:
  enabled: true
EOF
 
sudo systemctl restart datadog-agent
// Datadog APM — Node.js
const tracer = require('dd-trace').init({
  service: 'my-api',
  env: process.env.NODE_ENV,
  version: process.env.APP_VERSION,
  logInjection: true,       // Inject trace ID into logs
  runtimeMetrics: true,     // Collect Node.js runtime metrics
  profiling: true,          // Continuous profiling
  analytics: {
    enabled: true,
    sampleRate: 1.0
  }
});
 
// Custom spans
const span = tracer.startSpan('custom-operation', {
  tags: { 'user.id': userId, 'operation.type': 'db-query' }
});
 
try {
  await doWork();
  span.finish();
} catch (err) {
  span.setTag('error', err);
  span.finish();
}
# Datadog APM — Python (Django/Flask)
import ddtrace
ddtrace.patch_all()  # Auto-instrument all libraries
 
from ddtrace import tracer
 
@tracer.wrap(service='my-service', resource='process-order')
def process_order(order_id):
    with tracer.trace('db.query', service='postgres') as span:
        span.set_tag('order.id', order_id)
        return db.query(f"SELECT * FROM orders WHERE id = {order_id}")

New Relic Setup

# Install New Relic Infrastructure agent (Ubuntu)
curl -Ls https://download.newrelic.com/install/newrelic-cli/scripts/install.sh | bash
sudo NEW_RELIC_API_KEY=your-api-key \
     NEW_RELIC_ACCOUNT_ID=your-account-id \
     /usr/local/bin/newrelic install
 
# Or manual installation
echo "license_key: your-license-key" | sudo tee -a /etc/newrelic-infra.yml
sudo apt-get install newrelic-infra
// New Relic APM — Node.js
// newrelic.js (must be first require in app)
'use strict';
 
exports.config = {
  app_name: ['my-api'],
  license_key: process.env.NEW_RELIC_LICENSE_KEY,
  logging: {
    level: 'info',
    filepath: 'stdout'
  },
  distributed_tracing: {
    enabled: true
  },
  transaction_tracer: {
    enabled: true,
    transaction_threshold: 'apdex_f',
    record_sql: 'obfuscated'
  },
  error_collector: {
    enabled: true,
    ignore_status_codes: [404, 401]
  }
};
// server.js
require('newrelic'); // Must be first
 
const newrelic = require('newrelic');
 
// Custom instrumentation
async function processPayment(orderId) {
  return newrelic.startSegment('ProcessPayment', true, async () => {
    newrelic.addCustomAttribute('order.id', orderId);
    return await paymentService.charge(orderId);
  });
}
 
// Custom events
newrelic.recordCustomEvent('OrderCompleted', {
  orderId: order.id,
  amount: order.total,
  currency: order.currency
});

Pricing Comparison

Datadog Pricing (approximate 2024):
- Infrastructure: $15-23/host/month
- APM: $31/host/month
- Logs: $0.10/GB ingested + $0.05/GB scanned
- Custom metrics: $0.05/metric/month after 100 free
 
New Relic Pricing:
- Free: 100GB/month data ingest + 1 full user
- Standard: $0.30/GB after 100GB (all-in: traces, metrics, logs)
- Users: $99/full user/month for Pro tier
 
At 10 hosts with APM and logs (500GB/month):
- Datadog: ~$460/month + log costs
- New Relic: ~$120-150/month (mostly user seats)
 
New Relic tends to be significantly cheaper at scale for data-heavy workloads.
Datadog can become expensive quickly with custom metrics and many hosts.

When to Choose Datadog

  • You need the deepest integrations with AWS, GCP, and Azure native services
  • Your team needs advanced anomaly detection (Watchdog) and AI-powered incident correlation
  • You require enterprise features: compliance reports, audit trails, SSO, and fine-grained RBAC
  • You are investing in a full platform (APM + infrastructure + logs + synthetics + security) from one vendor
  • Budget is not the primary concern and you value polish and support quality

When to Choose New Relic

  • Cost is important — the consumption-based model is more predictable for data-heavy workloads
  • You want 100GB/month free to evaluate properly before committing
  • Your team prefers NRQL (SQL-like query language) over Datadog's proprietary query syntax
  • You need one platform for APM, browser, mobile, serverless, and infrastructure without per-host pricing
  • You have a startup or small team and cannot afford Datadog's per-host fees during growth phases

Common Mistakes

  • Installing both agents on the same host to compare — causes performance overhead and metric duplication
  • Not configuring sampling rates — sending 100% of traces for high-throughput services is expensive on both platforms
  • Ignoring alert quality — both platforms have powerful alerting but require tuning to avoid alert fatigue
  • Not setting service names consistently — inconsistent service names fragment APM data across dashboards
  • Overlooking custom metric costs in Datadog — automated instrumentation can generate thousands of custom metrics

Best Practices

  • Start with a pilot on 10-20% of your infrastructure before full rollout to validate cost projections
  • Configure data retention to match your compliance needs — longer retention means higher costs on both platforms
  • Use Tags/Attributes consistently across all services to enable cross-service filtering and dashboards
  • Set up SLO tracking early — both platforms support SLI/SLO monitoring out of the box
  • Evaluate both platforms' dashboards and alert capabilities with your team before signing contracts

Key Takeaways

  • Datadog charges per host and per custom metric; New Relic charges per GB of data ingested — cost profiles differ dramatically by workload
  • New Relic offers 100GB/month free forever — the most generous free tier among major APM vendors
  • Both platforms provide distributed tracing, infrastructure monitoring, log management, and synthetic monitoring
  • Datadog has a larger integration catalog (700+) and is generally considered the more polished enterprise product
  • New Relic uses NRQL (a SQL dialect) for all queries; Datadog uses proprietary query languages per product area
  • Auto-instrumentation handles most common libraries — explicit SDK code is needed only for custom business metrics
  • Data sampling (sending 10-20% of traces) dramatically reduces cost without losing visibility into P95/P99 latency
  • Annual contracts offer 20-40% discounts on both platforms — negotiate before committing to monthly billing

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Sanjeev Sharma

Written by

Sanjeev Sharma

Full Stack Engineer · E-mopro

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