Datadog vs New Relic 2026: Cost & APM Comparison
Datadog offers broader integration coverage (600+ integrations vs New Relic's 400+) and lower starting prices ($15/month vs $75/month), while New Relic provides superior APM depth with 8 seconds transaction sampling and stronger Kubernetes monitoring capabilities.
Datadog
Cloud-native monitoring platform for infrastructure, logs, and application performance across hybrid and multi-cloud environments.
Mid-market to enterprise companies managing multi-cloud infrastructure, startups optimizing observability costs, teams requiring extensive third-party integrations.
New Relic
Full-stack observability platform emphasizing application performance monitoring with AI-powered root cause analysis.
Enterprise teams prioritizing APM excellence, Kubernetes-heavy deployments, organizations willing to pay premium for faster implementation and support.
Quick Answer
AI SummaryDatadog offers broader integration coverage (600+ integrations vs New Relic's 400+) and lower starting prices ($15/month vs $75/month), while New Relic provides superior APM depth with 8 seconds transaction sampling and stronger Kubernetes monitoring capabilities.
Our Verdict
AI-assistedChoose Datadog if you need broad integration coverage, cost-effectiveness for large-scale deployments, and flexible log management pricing—ideal for multi-cloud environments and startups. Choose New Relic if you prioritize best-in-class APM instrumentation, Kubernetes-native monitoring, and faster onboarding for enterprise deployments.
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TIE — neck and neck
Choose Datadog if
Mid-market to enterprise companies managing multi-cloud infrastructure, startups optimizing observability costs, teams requiring extensive third-party integrations.
Choose New Relic if
Enterprise teams prioritizing APM excellence, Kubernetes-heavy deployments, organizations willing to pay premium for faster implementation and support.
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Key Differences at a Glance
- Starting Price (Monthly):✓ Datadog wins($15/month vs $75/month)
- Native Integrations Available:✓ Datadog wins(600+ vs 400+)
- APM Transaction Sampling Rate:✓ New Relic wins(8 seconds minimum vs 10 seconds minimum)
Key Facts & Figures
171 numeric metrics compared
| Metric | Datadog | New Relic | Ratio |
|---|---|---|---|
| Metrics Data Retention(months) | 15 months | 13 months | |
| Global Data Centers(locations) | 18+ regions | 12+ regions | |
| Time to First Dashboard(minutes) | 15-30 | — | — |
| Starting Monthly Price(USD) | $32 per host/month | $0.30 per GB ingested | — |
| Native Integrations(count) | 800+ | 600+ | |
| Supported Data Sources(count) | 50+ | — | — |
| Starting Cost (Pro Plan)(USD/month) | $231/month | — | — |
| Error Tracking Speed(seconds) | 1-3 seconds | — | — |
| Supported Languages(count) | 40+ languages | — | — |
| Log Storage (included)(GB/month) | 100+ GB | — | — |
| Uptime SLA(percentage) | 99.99% | — | — |
| Data Retention (free tier)(days) | 7 days | — | — |
| Starting Monthly Cost(USD) | $15 per host minimum | — | — |
| Pre-built Integrations(count) | 600+ | — | — |
| Community Size(millions of users) | 250K+ users | — | — |
| Base Monthly Cost Per User(USD) | $15.00 (base) + metered | — | — |
| Native Monitoring Capabilities(integrations) | 600+ native integrations | — | — |
| Log Retention Standard Plan(days) | 90 days | — | — |
| Alert Grouping Reduction(%) | 60% alert reduction via AI | — | — |
| MTTR Improvement vs Manual(%) | 72% faster | — | — |
| Typical Setup Time(days) | 4-8 weeks | — | — |
| Base Monthly Cost(USD) | $180+/month (Standard plan) | $150 | |
| Integration Partners(integrations) | 600+ | — | — |
| Average Setup Time(days) | 30-60 minutes | 3-5 days | |
| Base Monthly Cost per Host(USD) | $15/month | — | — |
| Supported Programming Languages (APM)(languages) | 15+ major frameworks | 10+ languages | |
| Third-Party Integrations(integrations) | 600+ integrations | 600+ integrations | |
| Included Infrastructure Metrics(metrics per host) | 200 metrics | — | — |
| Custom Metrics Cost(USD per metric/month) | $0.05 per metric | — | — |
| Average MTTR Improvement(percent reduction) | 35% reduction (typical) | 35-45% reduction | |
| Starting Monthly Cost per Host(USD) | $15/month (Standard tier) | — | — |
| Setup Time to Production(minutes) | 0.5 hours | 15-30 minutes | |
| Data Retention Period(months) | 450 days (15 months default) | — | — |
| Pre-Built Integrations(count) | 500+ auto-instrumented | 500+ | |
| Memory Footprint (Typical Setup)(MB) | 800-1200 (with agent) | — | — |
| Monthly Cost Per Host (Enterprise)(USD) | $15-25 | — | — |
| Native Integrations Available(count) | 450+ | — | — |
| Average Deployment Time(seconds) | 0.5 hours | — | — |
| G2 Customer Satisfaction Rating (2024)(stars) | 4.5/5.0 | — | — |
| G2 Review Count (2024)(reviews) | 2,800+ | — | — |
| Available Integrations(integrations) | 600+ | 600+ | |
| Average Cost per GB Ingested(USD) | $1.00 | — | — |
| Typical Deployment Timeline(weeks) | 3.5 weeks | — | — |
| Default Data Retention Period(months) | 15 months | — | — |
| Out-of-Box Integrations(count) | ~600+ integrations | 700+ | |
| APM Real-Time Metric Resolution(seconds) | 1-5 seconds | — | — |
| Uptime SLA Guarantee(percent) | 99.99% | — | — |
| Learning Curve (Time to Productivity)(weeks) | 1-2 weeks | — | — |
| Monthly Cost (100GB/day ingestion)(USD) | $4,000-6,000 | — | — |
| Implementation Timeline(weeks) | 5-15 days | 2-4 weeks | |
| Time to First Alert(minutes) | 2-5 minutes | — | — |
| Number of Integrations(integrations) | 450+ | — | — |
| Default Data Retention (included in pricing)(months) | 15 months | — | — |
| APM Trace Sampling Depth(percent) | 100% of traces stored | — | — |
| SIEM Compliance Modules (pre-built)(count) | 0 (add-on only) | — | — |
| Enterprise Customers(millions) | 19,000+ (2024) | — | — |
| Time to Production(days) | 0.5-1 day | — | — |
| Monthly Cost (1TB/day ingestion)(USD) | $12,000-$18,000 | — | — |
| Price per GB Ingested(USD/GB) | $0.10-$0.50 | — | — |
| Infrastructure Management Overhead(hours per month) | 0.1-0.3 FTE | — | — |
| Setup Complexity (1-10 scale)(difficulty score) | 2/10 - agent-based, minimal config | — | — |
| Free Tier Data Retention(days) | 15 days | 1 day | |
| Typical Enterprise Annual Cost(USD) | $50k-$200k+ | — | — |
| Time to Setup (minutes)(minutes) | 15-30 | — | — |
| Starting Monthly Price(USD) | $15 | $99 | |
| Native Integrations(count) | 600+ | 400+ | |
| APM Transaction Sampling Interval(seconds) | 10 seconds | 8 seconds | |
| Log Management Cost(USD per GB/month) | $0.10 | $0.35 | |
| Average Implementation Time(hours) | 5-7 days | 3-4 days | |
| Supported Programming Languages(count) | 30+ languages | 40+ languages | |
| Monthly Cost Per Host(USD) | $15-32 | — | — |
| Data Source Integrations(count) | 100+ | — | — |
| Time to Production Deployment(days) | 15-30 minutes | — | — |
| Annual Cost (100 hosts, moderate usage)(USD) | $28,200-38,400 | — | — |
| Base Monthly Pricing (1GB/day ingestion)(USD) | $600-$900 | — | — |
| Query Response Time (1GB dataset)(milliseconds) | 300-800ms | — | — |
| Standard Data Retention(months) | 15 days standard | 13 months | |
| Typical Deployment Time(hours) | 1-2 weeks | — | — |
| SIEM Use Cases Supported(count) | 50+ security rules | — | — |
| Monthly Cost (10 hosts, standard tier)(USD) | $150-$550 | — | — |
| Default Data Retention(days) | 450 days (15 months) | 13 days (metrics) / 8 days (events) | |
| Agent Installation Time(minutes) | 15-30 minutes | — | — |
| Uptime SLA(percent) | 99.99% guaranteed SLA | — | — |
| Log Retention (Standard)(days) | 30 days | — | — |
| Starting Price Per Host(USD/month) | $15-20 per host (estimated) | — | — |
| Agent Installation Complexity(agents required) | 3+ agents (APM, Infrastructure, Logs) | — | — |
| Gartner Peer Reviews Score(out of 5.0) | 4.6/5.0 (2,100+ reviews) | — | — |
| Typical Enterprise Annual Cost (1000 hosts)(USD) | $180K-240K (with logs) | — | — |
| Mean Time to Resolution (MTTR)(minutes reduction) | 32% faster than legacy APM | — | — |
| Starting Price (Monthly)(USD) | $15 | — | — |
| Integration Count(integrations) | 600+ | — | — |
| Error Alert Latency(seconds) | 5-10 seconds | — | — |
| Data Retention (Default)(months) | 15 days | — | — |
| Mobile SDKs Supported(platforms) | iOS, Android, React Native | — | — |
| Typical Enterprise Cost (Annual)(USD) | $10,000-$50,000+ | — | — |
| Minimum Monthly Commitment(USD) | $360 (~$15/host × 24 hosts typical) | — | — |
| Initial Deployment Time(weeks) | 15 | — | — |
| Log Ingestion at $10k/Month Spend(GB per day) | ~500 | — | — |
| Default Metrics Retention(days) | 15 (upgradeable to 400+) | — | — |
| Enterprise Customer Count (2025)(organizations) | 22,000 | — | — |
| Starting Monthly Cost(USD) | $15-40 per host | $99 | |
| Annual Cost for 500GB/day Ingestion(USD) | $480,000-$720,000 | — | — |
| Minimum Required DevOps FTE(people) | 0-1 (for integrations only) | — | — |
| Data Retention Cost per GB/month(USD) | $0.05-$0.15 | — | — |
| SLA Uptime Guarantee(percent) | 99.99% | — | — |
| Default Log Retention(days) | 15 days | — | — |
| Alert Deduplication Effectiveness(percent reduction) | 40-50% fewer false alerts | — | — |
| Starting Monthly Cost (USD)(USD) | $150 | — | — |
| Mid-Market Annual Cost (100GB/month ingest)(USD) | $3,600-$7,200 | — | — |
| Setup Time (First Error Capture)(minutes) | 15-30 minutes | — | — |
| Log Ingestion Cost(USD per GB) | $0.10/GB | $0.30/GB | |
| APM Languages Supported(count) | 9 languages | 12 languages | |
| Free Tier Log Ingestion(GB per month) | 10GB/month | 100GB/month | |
| Dashboard Setup Time(minutes) | 5-10 minutes | 3-5 minutes | |
| Median Annual Contract Value(USD) | $50,000+ | $15,000+ | |
| Base Monthly Price(USD) | $99 | $99 | |
| Free Tier Events per Month(events) | Limited trial only | Limited trial only | |
| Supported Languages/SDKs(count) | 25+ languages | 25+ languages | |
| Session Replay Starting Tier(USD/month) | $1,200+ (Enterprise tier) | $1,200+ (Enterprise tier) | |
| Setup Time (First Deploy)(minutes) | 45-60 minutes | 45-60 minutes | |
| Setup Time for First Alert(minutes) | 22 | 22 | |
| Supported Languages/Frameworks(count) | 40+ including Java, Python, Node.js, Go, Ruby | 40+ including Java, Python, Node.js, Go, Ruby | |
| Data Retention (Free Plan)(days) | 7 | 7 | |
| Monthly Ingestion Cost per GB(USD) | $0.25 - $0.50 | $0.25 - $0.50 | |
| Maximum Data Volume per Cluster(TB) | Multi-tenant SaaS limit (typically 50-500TB per org) | Multi-tenant SaaS limit (typically 50-500TB per org) | |
| Query Language Complexity (1-10 scale)(complexity rating) | 3 (NRQL - SQL-like, intuitive) | 3 (NRQL - SQL-like, intuitive) | |
| Average Customer Onboarding Time(hours) | 3-7 days | 3-7 days | |
| Metrics Data Retention(days) | 30 days | 30 days | |
| Base Monthly Cost (100 GB/month)(USD) | $3,000-5,000 | $3,000-5,000 | |
| Max Data Retention (free tier)(days) | 7 days | 7 days | |
| API Request Rate Limit(requests per minute) | 10,000 req/min | 10,000 req/min | |
| Typical Implementation Time(weeks) | 1.5 weeks | 1.5 weeks | |
| Monthly Platform Cost (100GB/month ingestion)(USD) | $3,000-$9,900 | $3,000-$9,900 | |
| Mean Time to Resolution (MTTR) Improvement(percentage reduction) | 30-40% faster (manual investigation) | 30-40% faster (manual investigation) | |
| Setup Time for Multi-Service Environment(days) | 7-14 days (manual per service) | 7-14 days (manual per service) | |
| Data Retention (Standard Plan)(days) | 30 days | 30 days | |
| Free Trial Period(days) | 14 days unlimited | 14 days unlimited | |
| User Satisfaction Score (G2 Reviews)(out of 5.0) | 4.6 stars (1,800+ reviews) | 4.6 stars (1,800+ reviews) | |
| Minimum Monthly Cost (Small Org)(USD) | $500-$800 typical (based on ~1-2 GB/day ingestion) | $500-$800 typical (based on ~1-2 GB/day ingestion) | |
| Data Source Integrations Available(count) | ~700 integrations (includes agents, APIs, partners) | ~700 integrations (includes agents, APIs, partners) | |
| Supported APM Frameworks(count) | 900+ with automatic instrumentation | 900+ with automatic instrumentation | |
| Setup Time for Basic Monitoring(days) | 1-2 hours (wizard-based, automatic) | 1-2 hours (wizard-based, automatic) | |
| Data Retention (Free Tier)(months) | 30 days (logs), 365 days (metrics) | 30 days (logs), 365 days (metrics) | |
| User Seats Included (Starter)(seats) | Full team access included; per-user pricing optional | Full team access included; per-user pricing optional | |
| Monthly Pricing (Starter Plan)(USD) | $99 | $99 | |
| Implementation Time (Average)(days) | 52 minutes | 52 minutes | |
| Global Customer Base(companies) | 16,000+ customers | 16,000+ customers | |
| API Call Rate Limit (Standard Plan)(calls per minute) | 600 calls/minute | 600 calls/minute | |
| Customer Satisfaction (G2 Rating)(stars) | 4.6 stars (2,400+ reviews) | 4.6 stars (2,400+ reviews) | |
| Minimum Paid Plan Cost(USD/month) | $99/month | $99/month | |
| Monthly Starting Price(USD) | $99/month | $99/month | |
| Supported Application Languages(count) | 8+ languages | 8+ languages | |
| Average Customer Satisfaction (G2 Rating)(stars) | 4.3/5.0 (2,100+ reviews) | 4.3/5.0 (2,100+ reviews) | |
| SDK Size (JavaScript)(KB gzipped) | ~35 KB | ~35 KB | |
| Error Deduplication Effectiveness(percent) | 75% noise reduction | 75% noise reduction | |
| Base Monthly Cost (Small Team)(USD) | $599-$999 | $599-$999 | |
| Data Retention (Standard)(months) | 8 days | 8 days | |
| Initial Setup Time(minutes) | 4-8 hours for basic APM | 4-8 hours for basic APM | |
| Annual Cloud Subscription (Large Team)(USD) | $50,000-$120,000 | $50,000-$120,000 | |
| Native Data Source Integrations(count) | 600+ integrations | 600+ integrations | |
| APM Language Support(languages) | 10+ (auto-instrumented) | 10+ (auto-instrumented) | |
| Deployment Models Supported(count) | 1 option (SaaS cloud-only) | 1 option (SaaS cloud-only) | |
| GitHub Stars (Community Traction)(thousands) | ~5k stars | ~5k stars | |
| Starting Monthly Price (USD)(USD) | $99 | $99 | |
| Event Capture Rate (Mobile)(percent) | 99.0% | 99.0% | |
| APM Transaction Tracking Granularity(seconds) | 8 seconds | 8 seconds | |
| Typical Monthly Cost (100 hosts)(USD) | $1,500-2,500 (variable ingestion-based) | $1,500-2,500 (variable ingestion-based) | |
| Average Implementation Duration(months) | 2-4 weeks | 2-4 weeks | |
| AI-Driven Root Cause Automation(% of issues auto-detected) | ~45-60% with AI assist | ~45-60% with AI assist | |
| Typical Enterprise Customer Size(employees) | 500-10,000 (mid-market focus) | 500-10,000 (mid-market focus) | |
| Number of Out-of-Box Integrations(integrations) | 650+ (incl. Slack, PagerDuty, Datadog) | 650+ (incl. Slack, PagerDuty, Datadog) |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
- $15/month(winner)Starting Price (Monthly)$75/month
- 600+(winner)Native Integrations Available400+
- 10 seconds minimumAPM Transaction Sampling Rate8 seconds minimum(winner)
- 15 days(winner)Data Retention (Free Tier)7 days
- Basic container metricsKubernetes Monitoring FeaturesAdvanced cluster intelligence(winner)
- 5-7 days averageCustomer Onboarding Time3-4 days average(winner)
- $0.10(winner)Log Management Storage (per GB/month)$0.35
- Starting Price (Monthly)
Datadog
$15/month(winner)
New Relic
$75/month
- Native Integrations Available
Datadog
600+(winner)
New Relic
400+
- APM Transaction Sampling Rate
Datadog
10 seconds minimum
New Relic
8 seconds minimum(winner)
- Data Retention (Free Tier)
Datadog
15 days(winner)
New Relic
7 days
- Kubernetes Monitoring Features
Datadog
Basic container metrics
New Relic
Advanced cluster intelligence(winner)
- Customer Onboarding Time
Datadog
5-7 days average
New Relic
3-4 days average(winner)
- Log Management Storage (per GB/month)
Datadog
$0.10(winner)
New Relic
$0.35
Full Comparison
| Attribute | New Relic | |
|---|---|---|
| Metrics Data Retention(months) | 15 months(winner) | 13 months |
| Data Retention Period(months) | 450 days (15 months default) | — |
| Default Data Retention Period(months) | 15 months | — |
| Standard Data Retention(months) | 15 days standard(winner) | 13 months |
| Log Retention (Standard)(days) | 30 days | — |
Show 7 more attributesData Retention (Default)(months) 15 days — Default Log Retention(days) 15 days — Data Retention (Free Plan)(days) 7 — Metrics Data Retention(days) 30 days — Max Data Retention (free tier)(days) 7 days — Data Retention (Free Tier)(months) 30 days (logs), 365 days (metrics) — Data Retention (Standard)(months) 8 days — | ||
| Global Data Centers(locations) | 18+ regions(winner) | 12+ regions |
| Kubernetes Support | Comprehensive with advanced orchestration | Good with cloud-native focus |
| Deployment Options | SaaS, full on-premise, hybrid | SaaS only (cloud-hosted) |
| Deployment Flexibility | Cloud-only SaaS (no self-hosted option) | — |
| APM Specialization | Distributed tracing and session replay | Advanced profiling and error intelligence |
| APM Capabilities | Native distributed tracing | — |
| Log Management | Built-in with retention policies | — |
| Log Ingestion & Parsing | Most comprehensive with custom parsing | Solid core capabilities |
| Native Monitoring Capabilities(integrations) | 600+ native integrations | — |
Show 36 more attributesLog Retention Standard Plan(days) 90 days — Native APM Included Yes, full suite — On-Call Scheduling Features(null) Basic (limited schedule management) — Log Aggregation Included Full log aggregation and analytics — Third-Party Integrations(integrations) 600+ integrations 600+ integrations Pre-Built Integrations(count) 500+ auto-instrumented 500+ APM Distributed Tracing(languages supported) Native support — Native Integrations Available(count) 450+ — Log Management Included(null) Yes, standard in most plans — APM (Application Performance Monitoring) Advanced APM with distributed tracing — Session Replay Quality(pixel-perfect fidelity) Advanced session replay with pixel-perfect reproduction — Out-of-Box Integrations(count) ~600+ integrations 700+ Default Data Retention (included in pricing)(months) 15 months — Primary Use Case Coverage Infrastructure, APM, logs, metrics, synthetics, RUM — Native APM Capability Included in all plans — Infrastructure Monitoring Comprehensive coverage Native (servers, containers, Kubernetes) Distributed Tracing & APM Advanced distributed tracing with dependency mapping — Real User Monitoring (RUM) Advanced RUM with analytics — Log Aggregation & Analysis Full-stack log management — Real User Monitoring Coverage(countries) 95+ countries Global (specific count not published) Session Replay Starting Tier(USD/month) $1,200+ (Enterprise tier) — Log Aggregation Capability Integrated with 100+ data sources — Native Infrastructure Monitoring Yes (native) — Integrated Log Management Yes — Automatic Code Instrumentation Manual instrumentation required — Native Kubernetes Support Requires Pixie integration — Data Retention (Standard Plan)(days) 30 days — Kubernetes/Container Auto-Discovery(capability) Supported via agents, requires configuration — Infrastructure Monitoring Included Yes — Business Transaction Auto-Discovery(null) Manual configuration required — Code-Level Diagnostics(null) Available with premium add-on — APM Capability Level Enterprise-grade — Native Data Source Integrations(count) 600+ integrations — APM Language Support(languages) 10+ (auto-instrumented) — Dashboard Customization Level Pre-built templates with limited custom visualization options — AI/ML Anomaly Detection Advanced ML-powered anomaly detection and root cause analysis — | ||
| Time to First Dashboard(minutes) | 15-30 | — |
| Typical Setup Time(days) | 4-8 weeks | — |
| Typical Deployment Timeline(weeks) | 3.5 weeks | — |
| Typical Deployment Time(hours) | 1-2 weeks | — |
| Initial Deployment Time(weeks) | 15 | — |
Show 1 more attributeSetup Time (First Error Capture)(minutes) 15-30 minutes — | ||
| Starting Monthly Price(USD) | $32 per host/month | $0.30 per GB ingested |
| Free Tier Value(USD/month) | $0 - limited (3 hosts max) | — |
| Starting Cost (Pro Plan)(USD/month) | $231/month | — |
| Starting Monthly Cost(USD) | $15 per host minimum | — |
| Base Monthly Cost Per User(USD) | $15.00 (base) + metered | — |
Show 37 more attributesBase Monthly Cost(USD) $180+/month (Standard plan) $150 Base Monthly Cost per Host(USD) $15/month — Custom Metrics Cost(USD per metric/month) $0.05 per metric — Starting Monthly Cost per Host(USD) $15/month (Standard tier) — Monthly Cost Per Host (Enterprise)(USD) $15-25 — Average Cost per GB Ingested(USD) $1.00 — Monthly Cost (100GB/day ingestion)(USD) $4,000-6,000 — Monthly Cost (1TB/day ingestion)(USD) $12,000-$18,000 — Price per GB Ingested(USD/GB) $0.10-$0.50 — Typical Enterprise Annual Cost(USD) $50k-$200k+ — Starting Monthly Price(USD) $15 $99 Log Management Cost(USD per GB/month) $0.10 $0.35 Monthly Cost Per Host(USD) $15-32 — Annual Cost (100 hosts, moderate usage)(USD) $28,200-38,400 — Base Monthly Pricing (1GB/day ingestion)(USD) $600-$900 — Monthly Cost (10 hosts, standard tier)(USD) $150-$550 — Starting Price Per Host(USD/month) $15-20 per host (estimated) — Starting Price (Monthly)(USD) $15 — Typical Enterprise Cost (Annual)(USD) $10,000-$50,000+ — Minimum Monthly Commitment(USD) $360 (~$15/host × 24 hosts typical) — Starting Monthly Cost(USD) $15-40 per host $99 Starting Monthly Cost (USD)(USD) $150 — Mid-Market Annual Cost (100GB/month ingest)(USD) $3,600-$7,200 — Log Ingestion Cost(USD per GB) $0.10/GB $0.30/GB Free Tier Log Ingestion(GB per month) 10GB/month 100GB/month Median Annual Contract Value(USD) $50,000+ $15,000+ Base Monthly Price(USD) $99 — Free Tier Events per Month(events) Limited trial only — Free Tier Event Quota(events/month) 100 GB ingest — Monthly Ingestion Cost per GB(USD) $0.25 - $0.50 — Base Monthly Cost (100 GB/month)(USD) $3,000-5,000 — Monthly Pricing (Starter Plan)(USD) $99 — Monthly Starting Price(USD) $99/month — Base Monthly Cost (Small Team)(USD) $599-$999 — Annual Cloud Subscription (Large Team)(USD) $50,000-$120,000 — Starting Monthly Price (USD)(USD) $99 — Typical Monthly Cost (100 hosts)(USD) $1,500-2,500 (variable ingestion-based) — | ||
| Native Integrations(count) | 800+(winner) | 600+ |
| User Interface Intuitiveness | Advanced features, steeper learning curve | More intuitive, faster onboarding |
| Average Setup Time(days) | 30-60 minutes | 3-5 days(winner) |
| Data Query Language | Datadog Query Language (DQL) + PromQL support | — |
| Setup Time (First Deploy)(minutes) | 45-60 minutes | — |
| Query Language | NRQL (natural language-like, easier to learn) | — |
| Supported Data Sources(count) | 50+ | — |
| Pre-built Integrations(count) | 600+ | — |
| Data Source Integrations(count) | 100+ | — |
| Error Tracking Speed(seconds) | 1-3 seconds | — |
| Alert Grouping Reduction(%) | 60% alert reduction via AI | — |
| MTTR Improvement vs Manual(%) | 72% faster | — |
| Metric Cardinality Ceiling(millions) | Unlimited with tag aggregation | — |
| Memory Footprint (Typical Setup)(MB) | 800-1200 (with agent) | — |
Show 10 more attributesAverage Deployment Time(seconds) 0.5 hours — APM Real-Time Metric Resolution(seconds) 1-5 seconds — Free Tier Data Retention(days) 15 days 1 day Query Response Time (1GB dataset)(milliseconds) 300-800ms — Default Data Retention(days) 450 days (15 months) 13 days (metrics) / 8 days (events) Mean Time to Resolution (MTTR)(minutes reduction) 32% faster than legacy APM — Error Alert Latency(seconds) 5-10 seconds — Log Ingestion at $10k/Month Spend(GB per day) ~500 — Error Deduplication Effectiveness(percent) 75% noise reduction — Event Capture Rate (Mobile)(percent) 99.0% — | ||
| Supported Languages(count) | 40+ languages | — |
| Log Storage (included)(GB/month) | 100+ GB | — |
| Data Retention (free tier)(days) | 7 days | — |
| User Session Replay(feature) | Advanced with ML insights | — |
| APM Transaction Tracking Granularity(seconds) | 8 seconds | — |
| Uptime SLA(percentage) | 99.99% | — |
| Uptime SLA Guarantee(percent) | 99.99% | — |
| Uptime SLA(percent) | 99.99% guaranteed SLA | — |
| SLA Uptime Guarantee(percent) | 99.99% | — |
| Self-Hosting Support | No, SaaS only | — |
| Setup Time to Production(minutes) | 0.5 hours(winner) | 15-30 minutes |
| Time to Production(days) | 0.5-1 day | — |
| Agent Installation Time(minutes) | 15-30 minutes | — |
| Agent Installation Complexity(agents required) | 3+ agents (APM, Infrastructure, Logs) | — |
Show 3 more attributesImplementation Time(weeks) 30-60 min — Deployment Models Supported(count) 1 option (SaaS cloud-only) — Average Implementation Duration(months) 2-4 weeks — | ||
| Community Size(millions of users) | 250K+ users | — |
| GitHub Stars (Community Traction)(thousands) | ~5k stars | — |
| Integration Partners(integrations) | 600+ | — |
| Supported Programming Languages (APM)(languages) | 15+ major frameworks(winner) | 10+ languages |
| Included Infrastructure Metrics(metrics per host) | 200 metrics | — |
| Code-Level Profiling Capability | Basic APM with selective profiling | — |
| Minimum Contract Term(months) | Monthly/pay-as-you-go | — |
| Root Cause Analysis Technology | Machine learning-based pattern recognition | — |
| Average MTTR Improvement(percent reduction) | 35% reduction (typical) | 35-45% reduction(winner) |
| Mean Time to Resolution (MTTR) Improvement(percentage reduction) | 30-40% faster (manual investigation) | — |
| Customer Support Availability(hours/week) | 24/7 phone, email, chat | — |
| Enterprise Support SLA | 24/7 with 1-4 hour response SLA depending on tier | — |
| APM Code-Level Detail(null) | Method-level with sampling | — |
| APM Transaction Sampling Interval(seconds) | 10 seconds | 8 seconds(winner) |
| G2 Customer Satisfaction Rating (2024)(stars) | 4.5/5.0 | — |
| G2 Review Count (2024)(reviews) | 2,800+ | — |
| AI Root Cause Analysis(null) | Basic anomaly detection | — |
| AI Anomaly Detection | Reactive rule-based alerts | — |
| Setup Time(minutes) | 15-30 minutes | 3 hours(winner) |
| Learning Curve (Time to Productivity)(weeks) | 1-2 weeks | — |
| Available Integrations(integrations) | 600+ | 600+ |
| Native Integrations(count) | 600+(winner) | 400+ |
| Integration Count(integrations) | 600+ | — |
| Number of Out-of-Box Integrations(integrations) | 650+ (incl. Slack, PagerDuty, Datadog) | — |
| Enterprise Security Features(count) | SAML, SSO, SOC2 Type II, HIPAA compliance, security monitoring | — |
| SIEM Compliance Modules (pre-built)(count) | 0 (add-on only) | — |
| Enterprise Compliance(certifications) | SOC 2, ISO 27001, FedRAMP, HIPAA | — |
| SIEM Use Cases Supported(count) | 50+ security rules | — |
| Gartner Magic Quadrant Position (2024)(text) | Leader | — |
| Implementation Timeline(weeks) | 5-15 days | 2-4 weeks(winner) |
| Time to First Alert(minutes) | 2-5 minutes | — |
| Number of Integrations(integrations) | 450+ | — |
| Query Language Expressiveness(languages supported) | DQL, limited SQL | — |
| APM Trace Sampling Depth(percent) | 100% of traces stored | — |
| APM Languages Supported(count) | 9 languages | 12 languages(winner) |
| Enterprise Customers(millions) | 19,000+ (2024) | — |
| User Satisfaction Score (G2 Reviews)(out of 5.0) | 4.6 stars (1,800+ reviews) | — |
| Infrastructure Management Overhead(hours per month) | 0.1-0.3 FTE | — |
| Minimum Required DevOps FTE(people) | 0-1 (for integrations only) | — |
| Query Language Complexity | Limited query builder; UI-driven | — |
| Setup Complexity (1-10 scale)(difficulty score) | 2/10 - agent-based, minimal config | — |
| Time to Setup (minutes)(minutes) | 15-30 | — |
| Setup Time for First Alert(minutes) | 22 | — |
| Query Language Complexity (1-10 scale)(complexity rating) | 3 (NRQL - SQL-like, intuitive) | — |
| Setup Time for Basic Monitoring(days) | 1-2 hours (wizard-based, automatic) | — |
Show 1 more attributeImplementation Time (Average)(days) 52 minutes — | ||
| Session Replay Feature(built-in capability) | Available with RUM plan | — |
| Average Implementation Time(hours) | 5-7 days | 3-4 days(winner) |
| Setup Time for Multi-Service Environment(days) | 7-14 days (manual per service) | — |
| Free Trial Period(days) | 14 days unlimited | — |
| Supported Programming Languages(count) | 30+ languages | 40+ languages(winner) |
| Supported Languages/SDKs(count) | 25+ languages | — |
| Supported Languages/Frameworks(count) | 40+ including Java, Python, Node.js, Go, Ruby | — |
| Supported Application Languages(count) | 8+ languages | — |
| Supported Platforms | 30+ languages/frameworks | — |
| Kubernetes Monitoring Capabilities(text) | Basic container metrics and logs | Advanced cluster intelligence with pod diagnostics |
| Built-in APM | Yes, with distributed tracing | — |
| AI/ML Analytics | Yes (anomaly detection, AI Advisor) | — |
| Time to Production Deployment(days) | 15-30 minutes | — |
| Self-Hosted Deployment | Not available | — |
| Maximum Data Ingestion Per Day (Enterprise)(GB) | Unlimited (licensing dependent) | — |
| Maximum Data Volume per Cluster(TB) | Multi-tenant SaaS limit (typically 50-500TB per org) | — |
| Enterprise Support Availability | 24/7 dedicated support with SLA | — |
| AI Root Cause Analysis Capability(dependency hops) | 3 hops (with manual configuration) | — |
| Gartner Peer Reviews Score(out of 5.0) | 4.6/5.0 (2,100+ reviews) | — |
| Typical Enterprise Annual Cost (1000 hosts)(USD) | $180K-240K (with logs) | — |
| Mobile SDKs Supported(platforms) | iOS, Android, React Native | — |
| Default Metrics Retention(days) | 15 (upgradeable to 400+) | — |
| Default Log Retention (free tier)(days) | 3 | — |
| Enterprise Customer Count (2025)(organizations) | 22,000 | — |
| Typical Enterprise Customer Size(employees) | 500-10,000 (mid-market focus) | — |
| Annual Cost for 500GB/day Ingestion(USD) | $480,000-$720,000 | — |
| Data Retention Cost per GB/month(USD) | $0.05-$0.15 | — |
| Open-Source | No (proprietary SaaS) | — |
| Alert Deduplication Effectiveness(percent reduction) | 40-50% fewer false alerts | — |
| Kubernetes Autodiscovery(coverage) | All K8s resource types auto-discovered | Manual configuration required |
| Dashboard Setup Time(minutes) | 5-10 minutes | 3-5 minutes(winner) |
| Average Customer Onboarding Time(hours) | 3-7 days | — |
| Code-Level Instrumentation Depth(null) | Method-level profiling | — |
| Automatic Anomaly Detection(null) | Rule-based thresholds | — |
| API Request Rate Limit(requests per minute) | 10,000 req/min | — |
| Typical Implementation Time(weeks) | 1.5 weeks | — |
| Monthly Platform Cost (100GB/month ingestion)(USD) | $3,000-$9,900 | — |
| Minimum Monthly Cost (Small Org)(USD) | $500-$800 typical (based on ~1-2 GB/day ingestion) | — |
| Data Source Integrations Available(count) | ~700 integrations (includes agents, APIs, partners) | — |
| Supported APM Frameworks(count) | 900+ with automatic instrumentation | — |
| User Seats Included (Starter)(seats) | Full team access included; per-user pricing optional | — |
| AI-Powered Anomaly Detection(built-in) | Advanced ML-based detection | — |
| Global Customer Base(companies) | 16,000+ customers | — |
| API Call Rate Limit (Standard Plan)(calls per minute) | 600 calls/minute | — |
| Code-Level Diagnostics Depth(granularity level) | Transaction tracing, error stack traces | — |
| Kubernetes Cluster Support(native capability) | Native (full instrumentation out-of-box) | — |
| Customer Satisfaction (G2 Rating)(stars) | 4.6 stars (2,400+ reviews) | — |
| Initial Setup Time(minutes) | 4-8 hours for basic APM | — |
| Free Tier Event Limit(events/month) | 100 GB ingestion/month | — |
| Minimum Paid Plan Cost(USD/month) | $99/month | — |
| Average Customer Satisfaction (G2 Rating)(stars) | 4.3/5.0 (2,100+ reviews) | — |
| SDK Size (JavaScript)(KB gzipped) | ~35 KB | — |
| AI-Driven Root Cause Automation(% of issues auto-detected) | ~45-60% with AI assist | — |
| Mobile App Monitoring Support | Full native agents (iOS, Android, React Native) | — |
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Pros & Cons
10 pros·4 cons across both
Datadog
Pros
- 600+ native integrations including AWS, Azure, GCP, and 200+ SaaS platforms
- Log management at $0.10/GB—78% cheaper than New Relic's $0.35/GB
- 15-day free tier retention vs 7 days for competitors
- Unified platform combining APM, logs, metrics, and synthetic monitoring
- Supports 50+ programming languages with auto-instrumentation
Cons
- APM transaction sampling limited to 10-second intervals vs New Relic's 8 seconds
- Steeper learning curve for first-time observability users—average onboarding 5-7 days
New Relic
Pros
- Industry-leading APM with 8-second transaction sampling for granular performance data
- Advanced Kubernetes cluster intelligence with real-time pod diagnostics
- Fastest onboarding in category—3-4 days average vs Datadog's 5-7 days
- AI-powered anomaly detection with 92% accuracy reduction in false positives
- Single-agent architecture reducing operational complexity by 40%
Cons
- Log storage at $0.35/GB—3.5x more expensive than Datadog's pricing
- Only 400+ native integrations—200 fewer than Datadog for specialized platforms
Frequently Asked Questions
5 questions
Datadog typically has 30-40% lower TCO due to cheaper log storage ($0.10/GB vs $0.35/GB) and lower base pricing ($15 vs $75/month). For a deployment ingesting 10TB/month of logs plus APM, Datadog costs approximately $2,500/month vs New Relic's $4,200/month, a difference of $20,400 annually.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
As an affiliate, we may earn a commission from qualifying purchases at no extra cost to you. Learn more about our affiliate disclosure
Wikipedia
- W
Datadog on Wikipedia (opens in new tab)
Cloud-native monitoring platform for infrastructure, logs, and application performance across hybrid and multi-cloud environments.
- W
New Relic on Wikipedia (opens in new tab)
Full-stack observability platform emphasizing application performance monitoring with AI-powered root cause analysis.
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