software
Dynatrace vs New Relic 2026 - APM Comparison
Dynatrace excels in AI-driven root cause analysis and automatic instrumentation across complex microservices environments, while New Relic offers more flexible pricing and stronger developer-focused features. Dynatrace is better for large enterprises with complex architectures, while New Relic suits mid-market companies prioritizing cost control.
Dynatrace
Enterprise APM platform with AI-powered root cause analysis and full-stack infrastructure monitoring.
Large enterprises and Fortune 500 companies with complex, multi-cloud microservices requiring minimal manual overhead and maximum automation.
Score63%
VS
NR
New Relic
Full-stack observability platform emphasizing application performance monitoring with AI-powered root cause analysis.
Mid-market companies, startups, and development teams that prioritize ease of use, transparent pricing, and want to control observability costs granularly.
Score63%
197 attributes7 differences16 pros/cons
Quick Answer
AI SummaryDynatrace excels in AI-driven root cause analysis and automatic instrumentation across complex microservices environments, while New Relic offers more flexible pricing and stronger developer-focused features. Dynatrace is better for large enterprises with complex architectures, while New Relic suits mid-market companies prioritizing cost control.
Our Verdict
AI-assistedChoose Dynatrace if you operate large-scale microservices with complex dependencies and need automatic problem detection without manual configuration—the AI-driven insights justify the premium cost for enterprise teams. Choose New Relic if you value developer experience, flexible pricing tiers, and a faster onboarding process—it's ideal for mid-market and growing companies that need strong observability without extensive DevOps overhead.
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Dynatrace
7.4/10
New Relic
7.6/10
N
Choose Dynatrace if
Large enterprises and Fortune 500 companies with complex, multi-cloud microservices requiring minimal manual overhead and maximum automation.
N
Choose New Relic if
Best pickMid-market companies, startups, and development teams that prioritize ease of use, transparent pricing, and want to control observability costs granularly.
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Key Differences at a Glance
- AI-Powered Root Cause Analysis:✓ Dynatrace wins(Davis AI (automatic, built-in) vs NRQL queries + AI insights (manual investigation))
- Pricing Model:✓ New Relic wins(Per-GB ingestion + add-ons ($0.30-$0.99/GB) vs Host-based or consumption-based ($0.25-$0.50/GB ingested))
- Automatic Code Instrumentation:✓ Dynatrace wins(OneAgent (fully automatic, agent-less options available) vs Requires manual agent setup (Java, .NET, Node.js, Python, Go))
Key Facts & Figures
142 numeric metrics compared
| Metric | Dynatrace | New Relic | Ratio |
|---|---|---|---|
| Supported Technology Integrations(count) | 600+ | — | — |
| Metric Data Retention(days) | 15 days | — | — |
| Trace Data Retention(days) | 8 days | — | — |
| Typical Implementation Timeline(days) | 6-12 weeks | — | — |
| Base Pricing (Annual, 100 hosts)(USD) | $50,000 | — | — |
| Initial Deployment Time(weeks) | 3-5 days | — | — |
| Data Source Integrations(count) | 600+ | — | — |
| Supported Technologies (Languages/Frameworks)(count) | 100+ with native agents | — | — |
| AI-Powered Anomaly Detection Accuracy(percent) | 85% | — | — |
| Alert Management Channels(count) | 40+ | — | — |
| Grafana/Dynatrace Community Size(thousands of members) | 100K+ enterprise customers | — | — |
| Required IT Staff for 10,000 hosts(FTE) | 0.5-1 FTE | — | — |
| Cost Per GB Ingested(USD per GB/month) | $15-25+ | — | — |
| Typical Enterprise Customer Annual Cost(USD) | $150,000-500,000 | — | — |
| Free Trial Duration(days) | 14 days (limited) | — | — |
| Base Monthly Cost(USD) | $400 | $150 | |
| Supported Programming Languages(count) | 50+ languages | 40+ languages | |
| Metrics Data Retention(days) | 15 days | 30 days | |
| API Request Rate Limit(requests per minute) | 1,000 req/min | 10,000 req/min | |
| Base Monthly Cost (100 GB/month)(USD) | $5,000-8,000 | $3,000-5,000 | |
| Implementation Timeline(weeks) | 2-4 weeks | 2-4 weeks | |
| Out-of-Box Integrations(count) | 500+ | 700+ | |
| Max Data Retention (free tier)(days) | 15 days | 7 days | |
| Typical Implementation Time(weeks) | 3 weeks | 1.5 weeks | |
| Base Monthly Cost per Host(USD) | $50/month | — | — |
| Third-Party Integrations(integrations) | 450+ integrations | 600+ integrations | |
| Included Infrastructure Metrics(metrics per host) | 70 metrics | — | — |
| Custom Metrics Cost(USD per metric/month) | $0.10 per metric | — | — |
| Average MTTR Improvement(percent reduction) | 60% reduction | 35-45% reduction | |
| Monthly Platform Cost (100GB/month ingestion)(USD) | $2,500-$5,000 | $3,000-$9,900 | |
| Supported Programming Languages (APM)(languages) | 95+ languages | 10+ languages | |
| Mean Time to Resolution (MTTR) Improvement(percentage reduction) | 40-60% reduction with AI | 30-40% faster (manual investigation) | |
| Setup Time for Multi-Service Environment(days) | 2-4 days (automatic) | 7-14 days (manual per service) | |
| Data Retention (Standard Plan)(days) | 35 days | 30 days | |
| Free Trial Period(days) | 15 days | 14 days unlimited | |
| User Satisfaction Score (G2 Reviews)(out of 5.0) | 4.5 stars (1,200+ reviews) | 4.6 stars (1,800+ reviews) | |
| Monthly Cost Per Host (Enterprise)(USD) | $25-40 | — | — |
| Native Integrations Available(count) | 350+ | — | — |
| Average Deployment Time(seconds) | 3 hours | — | — |
| G2 Customer Satisfaction Rating (2024)(stars) | 4.6/5.0 | — | — |
| G2 Review Count (2024)(reviews) | 1,200+ | — | — |
| Total Cost of Ownership (Year 1)(USD) | $8,000-$24,000+ | — | — |
| Average Time to Root Cause (MTTR)(minutes) | 15-30 (with Davis AI) | — | — |
| Supported Technologies(integrations) | 650+ out-of-box | — | — |
| Data Retention (Default)(months) | 15-30 days (configurable) | — | — |
| Ingest Rate (Typical)(events per second) | 100,000+ EPS per cluster | — | — |
| Base License Cost (Monthly)(USD) | $600-$5000+ (SaaS only) | — | — |
| Supported Data Sources(count) | 40+ native integrations | — | — |
| Time to First Production Metrics(weeks) | 1-2 weeks (with auto-instrumentation) | — | — |
| Community Dashboard Templates(dashboards) | Curated pre-built dashboards (proprietary) | — | — |
| Minimum Deployment Memory Requirement(MB) | 2000+ MB (full SaaS service) | — | — |
| Log Retention (Standard)(days) | 5 days | — | — |
| Starting Price Per Host(USD/month) | $45-65 per host | — | — |
| Native Integrations(count) | 700+ pre-built integrations | 400+ | |
| Agent Installation Complexity(agents required) | 1 unified agent (OneAgent) | — | — |
| Gartner Peer Reviews Score(out of 5.0) | 4.7/5.0 (1,800+ reviews) | — | — |
| Typical Enterprise Annual Cost (1000 hosts)(USD) | $540K-780K | — | — |
| Mean Time to Resolution (MTTR)(minutes reduction) | 45% faster than legacy APM | — | — |
| Time to First Production Insight(days) | 3-7 days | — | — |
| Automatic Instrumentation Coverage(technologies) | 650+ supported technologies | — | — |
| Starting Annual Cost(USD) | $15,000 | — | — |
| Community Size & Resources(active contributors) | ~10,000 community members | — | — |
| Starting Monthly Cost(USD) | $500-800 | $99 | |
| Log Ingestion Cost per GB(USD) | $1.20-1.60 | — | — |
| Average Time to Value(days) | < 1 day | — | — |
| Total Cost of Ownership (3-year, 500GB/month ingestion)(USD) | $360,000 (6,000 GB × $3/GB × 3 years + support) | — | — |
| Number of Pre-built Integrations(count) | 600+ | — | — |
| Data Retention Default(months) | 15 months | — | — |
| Query Performance on 1TB Index(milliseconds) | < 500ms (P95) | — | — |
| Required Infrastructure Team Size (100 users)(FTEs) | 0.25 (mostly monitoring) | — | — |
| Starting Annual Price(USD) | $52,500 | — | — |
| Average Time to Root Cause(minutes) | 2.5 minutes | — | — |
| Customer Satisfaction (NPS)(score) | 68 NPS | — | — |
| Data Retention Standard(days) | 365 days | — | — |
| API Endpoints for Integration(count) | 400+ integrations | — | — |
| Typical Monthly Cost (100 hosts)(USD) | $5,000-15,000 (host-based licensing) | $1,500-2,500 (variable ingestion-based) | |
| Average Implementation Duration(months) | 4-8 weeks | 2-4 weeks | |
| AI-Driven Root Cause Automation(% of issues auto-detected) | ~75-85% with Davis AI | ~45-60% with AI assist | |
| Standard Data Retention(months) | 15 months | 13 months | |
| Typical Enterprise Customer Size(employees) | 5,000+ (enterprise focus) | 500-10,000 (mid-market focus) | |
| Number of Out-of-Box Integrations(integrations) | 500+ (incl. Slack, Splunk, Okta) | 650+ (incl. Slack, PagerDuty, Datadog) | |
| Monthly Pricing (Small Organization)(USD) | $12,000-20,000 | — | — |
| Ideal Organization Size(engineers) | 500+ engineers | — | — |
| Time to First Alert(minutes) | 2-5 minutes (after setup) | — | — |
| 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 | |
| Native Integrations(count) | 600+ | 600+ | |
| Metrics Data Retention(months) | 13 months | 13 months | |
| Global Data Centers(locations) | 12+ regions | 12+ regions | |
| 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 | |
| Setup Time to Production(minutes) | 15-30 minutes | 15-30 minutes | |
| 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 | |
| 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 | |
| Pre-Built Integrations(count) | 500+ | 500+ | |
| 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 | |
| APM Transaction Sampling Interval(seconds) | 8 seconds | 8 seconds | |
| Free Tier Data Retention(days) | 1 day | 1 day | |
| Log Management Cost(USD per GB/month) | $0.35 | $0.35 | |
| Average Implementation Time(hours) | 3-4 days | 3-4 days | |
| Monthly Starting Price(USD) | $99/month | $99/month | |
| Default Data Retention(days) | 13 days (metrics) / 8 days (events) | 13 days (metrics) / 8 days (events) | |
| Supported Application Languages(count) | 8+ languages | 8+ languages | |
| Average Setup Time(days) | 3-5 days | 3-5 days | |
| 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 | |
| Starting Monthly Price(USD) | $99 | $99 | |
| Available Integrations(integrations) | 600+ | 600+ | |
| 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 | |
| Log Ingestion Cost(USD per GB) | $0.30/GB | $0.30/GB | |
| APM Languages Supported(count) | 12 languages | 12 languages | |
| Free Tier Log Ingestion(GB per month) | 100GB/month | 100GB/month | |
| Dashboard Setup Time(minutes) | 3-5 minutes | 3-5 minutes | |
| Median Annual Contract Value(USD) | $15,000+ | $15,000+ |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
Evenly matched1 tie
NR
3New RelicDynatrace
Attribute
New Relic
- Davis AI (automatic, built-in)(winner)AI-Powered Root Cause AnalysisNRQL queries + AI insights (manual investigation)
- Host-based or consumption-based ($0.25-$0.50/GB ingested)Pricing ModelPer-GB ingestion + add-ons ($0.30-$0.99/GB)(winner)
- OneAgent (fully automatic, agent-less options available)(winner)Automatic Code InstrumentationRequires manual agent setup (Java, .NET, Node.js, Python, Go)
- 15+ (Java, .NET, Python, Node.js, Go, Ruby, PHP, C++, etc.)APM Supported Languages10+ (Java, .NET, Python, Node.js, Go, Ruby, PHP, etc.)
- Native (no separate product required)(winner)Log Management IntegrationSeparate (additional licensing required)
- Steep (complex, enterprise-focused)User Interface Learning CurveModerate (developer-friendly, intuitive dashboards)(winner)
- 15 days (limited data retention)Free Trial Duration30 days + $100 free credits (full-featured)(winner)
- AI-Powered Root Cause Analysis
Dynatrace
Davis AI (automatic, built-in)(winner)
New Relic
NRQL queries + AI insights (manual investigation)
- Pricing Model
Dynatrace
Host-based or consumption-based ($0.25-$0.50/GB ingested)
New Relic
Per-GB ingestion + add-ons ($0.30-$0.99/GB)(winner)
- Automatic Code Instrumentation
Dynatrace
OneAgent (fully automatic, agent-less options available)(winner)
New Relic
Requires manual agent setup (Java, .NET, Node.js, Python, Go)
- APM Supported Languages
Dynatrace
15+ (Java, .NET, Python, Node.js, Go, Ruby, PHP, C++, etc.)
New Relic
10+ (Java, .NET, Python, Node.js, Go, Ruby, PHP, etc.)
- Log Management Integration
Dynatrace
Native (no separate product required)(winner)
New Relic
Separate (additional licensing required)
- User Interface Learning Curve
Dynatrace
Steep (complex, enterprise-focused)
New Relic
Moderate (developer-friendly, intuitive dashboards)(winner)
- Free Trial Duration
Dynatrace
15 days (limited data retention)
New Relic
30 days + $100 free credits (full-featured)(winner)
Full Comparison
| Attribute | Dynatrace | New Relic |
|---|---|---|
| Supported Technology Integrations(count) | 600+ | — |
| Metric Data Retention(days) | 15 days | — |
| Trace Data Retention(days) | 8 days | — |
| Metrics Data Retention(days) | 15 days | 30 days(winner) |
| Max Data Retention (free tier)(days) | 15 days(winner) | 7 days |
| Data Retention (Default)(months) | 15-30 days (configurable) | — |
Show 6 more attributesLog Retention (Standard)(days) 5 days — Standard Data Retention(months) 15 months 13 months Metrics Data Retention(months) 13 months — Data Retention (Free Plan)(days) 7 — Data Retention (Free Tier)(months) 30 days (logs), 365 days (metrics) — Data Retention (Standard)(months) 8 days — | ||
| Typical Implementation Timeline(days) | 6-12 weeks | — |
| Free Trial Duration(days) | 14 days (limited) | — |
| Setup Time for Multi-Service Environment(days) | 2-4 days (automatic)(winner) | 7-14 days (manual per service) |
| Free Trial Period(days) | 15 days(winner) | 14 days unlimited |
| Average Implementation Time(hours) | 3-4 days | — |
| Base Pricing (Annual, 100 hosts)(USD) | $50,000 | — |
| Total Cost of Ownership (Year 1)(USD) | $8,000-$24,000+ | — |
| Total Cost of Ownership (3-year, 500GB/month ingestion)(USD) | $360,000 (6,000 GB × $3/GB × 3 years + support) | — |
| Starting Annual Price(USD) | $52,500 | — |
| Monthly Pricing (Small Organization)(USD) | $12,000-20,000 | — |
| Initial Deployment Time(weeks) | 3-5 days | — |
| Average Time to Value(days) | < 1 day | — |
| Data Source Integrations(count) | 600+ | — |
| Supported Data Sources(count) | 40+ native integrations | — |
| API Endpoints for Integration(count) | 400+ integrations | — |
| Supported Technologies (Languages/Frameworks)(count) | 100+ with native agents | — |
| Supported Programming Languages(count) | 50+ languages(winner) | 40+ languages |
| Supported Technologies(integrations) | 650+ out-of-box | — |
| Supported Languages/SDKs(count) | 25+ languages | — |
| Supported Languages/Frameworks(count) | 40+ including Java, Python, Node.js, Go, Ruby | — |
Show 2 more attributesSupported Application Languages(count) 8+ languages — Supported Platforms 30+ languages/frameworks — | ||
| AI-Powered Anomaly Detection Accuracy(percent) | 85% | — |
| Alert Management Channels(count) | 40+ | — |
| Out-of-Box Integrations(count) | 500+ | 700+(winner) |
| Automatic Code Instrumentation | Native zero-code instrumentation | Manual instrumentation required |
| Native Kubernetes Support | Built-in Kubernetes Observer | Requires Pixie integration |
Show 24 more attributesThird-Party Integrations(integrations) 450+ integrations 600+ integrations Data Retention (Standard Plan)(days) 35 days 30 days Kubernetes/Container Auto-Discovery(capability) Native, automatic service mapping Supported via agents, requires configuration Native Integrations Available(count) 350+ — Log Management Included(null) Available but often separate — Data Retention Standard(days) 365 days — Infrastructure Monitoring Breadth(coverage %) Full-stack (apps, infra, K8s, serverless, on-prem) — Infrastructure Monitoring Native (servers, containers, Kubernetes) — Session Replay Starting Tier(USD/month) $1,200+ (Enterprise tier) — Log Aggregation Capability Integrated with 100+ data sources — APM Specialization Advanced profiling and error intelligence — Log Ingestion & Parsing Solid core capabilities — Native Infrastructure Monitoring Yes (native) — Integrated Log Management Yes — Infrastructure Monitoring Included Yes — Pre-Built Integrations(count) 500+ — 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 — Real User Monitoring Coverage(countries) Global (specific count not published) — | ||
| Grafana/Dynatrace Community Size(thousands of members) | 100K+ enterprise customers | — |
| Community Size(members) | 5,000+ (proprietary) | — |
| GitHub Stars (Community Traction)(thousands) | ~5k stars | — |
| Required IT Staff for 10,000 hosts(FTE) | 0.5-1 FTE | — |
| Infrastructure Setup Complexity(DevOps hours) | 20-40 hours (minimal) | — |
| Required Infrastructure Team Size (100 users)(FTEs) | 0.25 (mostly monitoring) | — |
| Cost Per GB Ingested(USD per GB/month) | $15-25+ | — |
| Typical Enterprise Customer Annual Cost(USD) | $150,000-500,000 | — |
| Base Monthly Cost(USD) | $400 | $150(winner) |
| Base Monthly Cost (100 GB/month)(USD) | $5,000-8,000 | $3,000-5,000(winner) |
| Base Monthly Cost per Host(USD) | $50/month | — |
Show 23 more attributesCustom Metrics Cost(USD per metric/month) $0.10 per metric — Monthly Cost Per Host (Enterprise)(USD) $25-40 — Base License Cost (Monthly)(USD) $600-$5000+ (SaaS only) — Starting Price Per Host(USD/month) $45-65 per host — Starting Annual Cost(USD) $15,000 — Starting Monthly Cost(USD) $500-800 $99 Log Ingestion Cost per GB(USD) $1.20-1.60 — Typical Monthly Cost (100 hosts)(USD) $5,000-15,000 (host-based licensing) $1,500-2,500 (variable ingestion-based) Base Monthly Price(USD) $99 — Free Tier Events per Month(events) Limited trial only — Starting Monthly Price(USD) $0.30 per GB ingested — Free Tier Event Quota(events/month) 100 GB ingest — Monthly Ingestion Cost per GB(USD) $0.25 - $0.50 — Monthly Pricing (Starter Plan)(USD) $99 — Log Management Cost(USD per GB/month) $0.35 — Monthly Starting Price(USD) $99/month — Starting Monthly Price(USD) $99 — Base Monthly Cost (Small Team)(USD) $599-$999 — Annual Cloud Subscription (Large Team)(USD) $50,000-$120,000 — Starting Monthly Price (USD)(USD) $99 — Log Ingestion Cost(USD per GB) $0.30/GB — Free Tier Log Ingestion(GB per month) 100GB/month — Median Annual Contract Value(USD) $15,000+ — | ||
| Implementation Time(weeks) | 40-80+ hours | — |
| Time to First Production Metrics(weeks) | 1-2 weeks (with auto-instrumentation) | — |
| Agent Installation Complexity(agents required) | 1 unified agent (OneAgent) | — |
| Average Implementation Duration(months) | 4-8 weeks | 2-4 weeks(winner) |
| Setup Time to Production(minutes) | 15-30 minutes | — |
Show 1 more attributeDeployment Models Supported(count) 1 option (SaaS cloud-only) — | ||
| Infrastructure Monitoring Depth(scope level) | Full-stack (hosts, containers, DBs, k8s) | — |
| APM Transaction Tracking Granularity(seconds) | 8 seconds | — |
| API Request Rate Limit(requests per minute) | 1,000 req/min | 10,000 req/min(winner) |
| Implementation Timeline(weeks) | 2-4 weeks | 2-4 weeks |
| Code-Level Instrumentation Depth(null) | Full bytecode line-level | Method-level profiling |
| Automatic Anomaly Detection(null) | ML-based automatic baselines | Rule-based thresholds |
| Typical Implementation Time(weeks) | 3 weeks | 1.5 weeks(winner) |
| AI Anomaly Detection | Proactive Davis AI engine | Reactive rule-based alerts |
| AI Root Cause Analysis(null) | Advanced Davis AI with causality mapping | — |
| AI-Powered Root Cause Analysis(native capability) | Davis AI included | — |
| Included Infrastructure Metrics(metrics per host) | 70 metrics | — |
| Code-Level Profiling Capability | Continuous profiling with memory/CPU/I/O analysis | Basic APM with selective profiling |
| Minimum Contract Term(months) | 12-month commitment | — |
| Root Cause Analysis Technology | AI-driven Davis engine with code-level insights | — |
| Average MTTR Improvement(percent reduction) | 60% reduction(winner) | 35-45% reduction |
| Mean Time to Resolution (MTTR) Improvement(percentage reduction) | 40-60% reduction with AI(winner) | 30-40% faster (manual investigation) |
| Monthly Platform Cost (100GB/month ingestion)(USD) | $2,500-$5,000(winner) | $3,000-$9,900 |
| Minimum Monthly Cost (Small Org)(USD) | $500-$800 typical (based on ~1-2 GB/day ingestion) | — |
| Supported Programming Languages (APM)(languages) | 95+ languages(winner) | 10+ languages |
| User Satisfaction Score (G2 Reviews)(out of 5.0) | 4.5 stars (1,200+ reviews) | 4.6 stars (1,800+ reviews)(winner) |
| Average Deployment Time(seconds) | 3 hours | — |
| Average Time to Root Cause (MTTR)(minutes) | 15-30 (with Davis AI) | — |
| Minimum Deployment Memory Requirement(MB) | 2000+ MB (full SaaS service) | — |
| Mean Time to Resolution (MTTR)(minutes reduction) | 45% faster than legacy APM | — |
| Query Performance on 1TB Index(milliseconds) | < 500ms (P95) | — |
Show 5 more attributesAverage Time to Root Cause(minutes) 2.5 minutes — Free Tier Data Retention(days) 1 day — Default Data Retention(days) 13 days (metrics) / 8 days (events) — Error Deduplication Effectiveness(percent) 75% noise reduction — Event Capture Rate (Mobile)(percent) 99.0% — | ||
| APM Code-Level Detail(null) | Full transaction tracing | — |
| APM Transaction Sampling Interval(seconds) | 8 seconds | — |
| G2 Customer Satisfaction Rating (2024)(stars) | 4.6/5.0 | — |
| Customer Satisfaction (NPS)(score) | 68 NPS | — |
| G2 Review Count (2024)(reviews) | 1,200+ | — |
| Ingest Rate (Typical)(events per second) | 100,000+ EPS per cluster | — |
| Maximum Data Volume per Cluster(TB) | Multi-tenant SaaS limit (typically 50-500TB per org) | — |
| Learning Curve(difficulty rating) | 1-2 months | — |
| Setup Time (First Deploy)(minutes) | 45-60 minutes | — |
| User Interface Intuitiveness | More intuitive, faster onboarding | — |
| Average Setup Time(days) | 3-5 days | — |
| Query Language | NRQL (natural language-like, easier to learn) | — |
| API Complexity(learning effort) | Simplified REST API with UI-first approach | — |
| Setup Time(minutes) | 14-28 days | 3 hours(winner) |
| AI-Powered Anomaly Detection(built-in) | Yes (Davis AI engine) | Advanced ML-based detection |
| Deployment Flexibility | SaaS only (limited on-premises for enterprise) | Cloud-only SaaS (no self-hosted option) |
| Global Data Centers(locations) | 12+ regions | — |
| Kubernetes Support | Good with cloud-native focus | — |
| Deployment Options | SaaS only (cloud-hosted) | — |
| Community Dashboard Templates(dashboards) | Curated pre-built dashboards (proprietary) | — |
| Native Integrations(count) | 700+ pre-built integrations(winner) | 400+ |
| Number of Out-of-Box Integrations(integrations) | 500+ (incl. Slack, Splunk, Okta) | 650+ (incl. Slack, PagerDuty, Datadog)(winner) |
| Available Integrations(integrations) | 600+ | — |
| AI Root Cause Analysis Capability(dependency hops) | Automatic detection up to 4+ hops | — |
| Gartner Peer Reviews Score(out of 5.0) | 4.7/5.0 (1,800+ reviews) | — |
| Typical Enterprise Annual Cost (1000 hosts)(USD) | $540K-780K | — |
| Time to First Production Insight(days) | 3-7 days | — |
| Automatic Instrumentation Coverage(technologies) | 650+ supported technologies | — |
| APM Languages Supported(count) | 12 languages | — |
| Query Language Flexibility(flexibility score) | Limited to predefined queries and dashboards | — |
| Community Size & Resources(active contributors) | ~10,000 community members | — |
| Number of Pre-built Integrations(count) | 600+ | — |
| Native Integrations(count) | 600+ | — |
| Supported Data Types(types) | Logs, metrics, traces, user sessions, synthetics | — |
| Data Retention Default(months) | 15 months | — |
| Kubernetes Cluster Support(native capability) | Full native support with auto-discovery | Native (full instrumentation out-of-box) |
| Deployment Models(count) | SaaS, on-premise, hybrid | — |
| AI-Driven Root Cause Automation(% of issues auto-detected) | ~75-85% with Davis AI(winner) | ~45-60% with AI assist |
| Mobile App Monitoring Support | Limited third-party integration only | Full native agents (iOS, Android, React Native) |
| Typical Enterprise Customer Size(employees) | 5,000+ (enterprise focus) | 500-10,000 (mid-market focus) |
| AI Root Cause Analysis Sophistication(capability level) | Advanced (causal, predictive, auto-remediation) | — |
| Ideal Organization Size(engineers) | 500+ engineers | — |
| Time to First Alert(minutes) | 2-5 minutes (after setup) | — |
| 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) | — |
| Implementation Time (Average)(days) | 52 minutes | — |
| Average Customer Onboarding Time(hours) | 3-7 days | — |
| Data Source Integrations Available(count) | ~700 integrations (includes agents, APIs, partners) | — |
| Supported APM Frameworks(count) | 900+ with automatic instrumentation | — |
| Enterprise Support SLA | 24/7 with 1-4 hour response SLA depending on tier | — |
| User Seats Included (Starter)(seats) | Full team access included; per-user pricing optional | — |
| 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 | — |
| 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 | — |
| Kubernetes Monitoring Capabilities(text) | Advanced cluster intelligence with pod diagnostics | — |
| Average Customer Satisfaction (G2 Rating)(stars) | 4.3/5.0 (2,100+ reviews) | — |
| SDK Size (JavaScript)(KB gzipped) | ~35 KB | — |
| Kubernetes Autodiscovery(coverage) | Manual configuration required | — |
| Dashboard Setup Time(minutes) | 3-5 minutes | — |
DynatraceNNew Relic
Supported Technology Integrations(count)
600+
—
Metric Data Retention(days)
15 days
—
Trace Data Retention(days)
8 days
—
Metrics Data Retention(days)
15 days
30 days
Max Data Retention (free tier)(days)
15 days
7 days
Data Retention (Default)(months)
15-30 days (configurable)
—
Show 6 more attributes
Log Retention (Standard)(days)
5 days
—
Standard Data Retention(months)
15 months
13 months
Metrics Data Retention(months)
13 months
—
Data Retention (Free Plan)(days)
7
—
Data Retention (Free Tier)(months)
30 days (logs), 365 days (metrics)
—
Data Retention (Standard)(months)
8 days
—
Typical Implementation Timeline(days)
6-12 weeks
—
Free Trial Duration(days)
14 days (limited)
—
Setup Time for Multi-Service Environment(days)
2-4 days (automatic)
7-14 days (manual per service)
Free Trial Period(days)
15 days
14 days unlimited
Average Implementation Time(hours)
3-4 days
—
Base Pricing (Annual, 100 hosts)(USD)
$50,000
—
Total Cost of Ownership (Year 1)(USD)
$8,000-$24,000+
—
Total Cost of Ownership (3-year, 500GB/month ingestion)(USD)
$360,000 (6,000 GB × $3/GB × 3 years + support)
—
Starting Annual Price(USD)
$52,500
—
Monthly Pricing (Small Organization)(USD)
$12,000-20,000
—
Initial Deployment Time(weeks)
3-5 days
—
Average Time to Value(days)
< 1 day
—
Data Source Integrations(count)
600+
—
Supported Data Sources(count)
40+ native integrations
—
API Endpoints for Integration(count)
400+ integrations
—
Supported Technologies (Languages/Frameworks)(count)
100+ with native agents
—
Supported Programming Languages(count)
50+ languages
40+ languages
Supported Technologies(integrations)
650+ out-of-box
—
Supported Languages/SDKs(count)
25+ languages
—
Supported Languages/Frameworks(count)
40+ including Java, Python, Node.js, Go, Ruby
—
Show 2 more attributes
Supported Application Languages(count)
8+ languages
—
Supported Platforms
30+ languages/frameworks
—
AI-Powered Anomaly Detection Accuracy(percent)
85%
—
Alert Management Channels(count)
40+
—
Out-of-Box Integrations(count)
500+
700+
Automatic Code Instrumentation
Native zero-code instrumentation
Manual instrumentation required
Native Kubernetes Support
Built-in Kubernetes Observer
Requires Pixie integration
Show 24 more attributes
Third-Party Integrations(integrations)
450+ integrations
600+ integrations
Data Retention (Standard Plan)(days)
35 days
30 days
Kubernetes/Container Auto-Discovery(capability)
Native, automatic service mapping
Supported via agents, requires configuration
Native Integrations Available(count)
350+
—
Log Management Included(null)
Available but often separate
—
Data Retention Standard(days)
365 days
—
Infrastructure Monitoring Breadth(coverage %)
Full-stack (apps, infra, K8s, serverless, on-prem)
—
Infrastructure Monitoring
Native (servers, containers, Kubernetes)
—
Session Replay Starting Tier(USD/month)
$1,200+ (Enterprise tier)
—
Log Aggregation Capability
Integrated with 100+ data sources
—
APM Specialization
Advanced profiling and error intelligence
—
Log Ingestion & Parsing
Solid core capabilities
—
Native Infrastructure Monitoring
Yes (native)
—
Integrated Log Management
Yes
—
Infrastructure Monitoring Included
Yes
—
Pre-Built Integrations(count)
500+
—
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
—
Real User Monitoring Coverage(countries)
Global (specific count not published)
—
Grafana/Dynatrace Community Size(thousands of members)
100K+ enterprise customers
—
Community Size(members)
5,000+ (proprietary)
—
GitHub Stars (Community Traction)(thousands)
~5k stars
—
Required IT Staff for 10,000 hosts(FTE)
0.5-1 FTE
—
Infrastructure Setup Complexity(DevOps hours)
20-40 hours (minimal)
—
Required Infrastructure Team Size (100 users)(FTEs)
0.25 (mostly monitoring)
—
Cost Per GB Ingested(USD per GB/month)
$15-25+
—
Typical Enterprise Customer Annual Cost(USD)
$150,000-500,000
—
Base Monthly Cost(USD)
$400
$150
Base Monthly Cost (100 GB/month)(USD)
$5,000-8,000
$3,000-5,000
Base Monthly Cost per Host(USD)
$50/month
—
Show 23 more attributes
Custom Metrics Cost(USD per metric/month)
$0.10 per metric
—
Monthly Cost Per Host (Enterprise)(USD)
$25-40
—
Base License Cost (Monthly)(USD)
$600-$5000+ (SaaS only)
—
Starting Price Per Host(USD/month)
$45-65 per host
—
Starting Annual Cost(USD)
$15,000
—
Starting Monthly Cost(USD)
$500-800
$99
Log Ingestion Cost per GB(USD)
$1.20-1.60
—
Typical Monthly Cost (100 hosts)(USD)
$5,000-15,000 (host-based licensing)
$1,500-2,500 (variable ingestion-based)
Base Monthly Price(USD)
$99
—
Free Tier Events per Month(events)
Limited trial only
—
Starting Monthly Price(USD)
$0.30 per GB ingested
—
Free Tier Event Quota(events/month)
100 GB ingest
—
Monthly Ingestion Cost per GB(USD)
$0.25 - $0.50
—
Monthly Pricing (Starter Plan)(USD)
$99
—
Log Management Cost(USD per GB/month)
$0.35
—
Monthly Starting Price(USD)
$99/month
—
Starting Monthly Price(USD)
$99
—
Base Monthly Cost (Small Team)(USD)
$599-$999
—
Annual Cloud Subscription (Large Team)(USD)
$50,000-$120,000
—
Starting Monthly Price (USD)(USD)
$99
—
Log Ingestion Cost(USD per GB)
$0.30/GB
—
Free Tier Log Ingestion(GB per month)
100GB/month
—
Median Annual Contract Value(USD)
$15,000+
—
Implementation Time(weeks)
40-80+ hours
—
Time to First Production Metrics(weeks)
1-2 weeks (with auto-instrumentation)
—
Agent Installation Complexity(agents required)
1 unified agent (OneAgent)
—
Average Implementation Duration(months)
4-8 weeks
2-4 weeks
Setup Time to Production(minutes)
15-30 minutes
—
Show 1 more attribute
Deployment Models Supported(count)
1 option (SaaS cloud-only)
—
Infrastructure Monitoring Depth(scope level)
Full-stack (hosts, containers, DBs, k8s)
—
APM Transaction Tracking Granularity(seconds)
8 seconds
—
API Request Rate Limit(requests per minute)
1,000 req/min
10,000 req/min
Implementation Timeline(weeks)
2-4 weeks
2-4 weeks
Code-Level Instrumentation Depth(null)
Full bytecode line-level
Method-level profiling
Automatic Anomaly Detection(null)
ML-based automatic baselines
Rule-based thresholds
Typical Implementation Time(weeks)
3 weeks
1.5 weeks
AI Anomaly Detection
Proactive Davis AI engine
Reactive rule-based alerts
AI Root Cause Analysis(null)
Advanced Davis AI with causality mapping
—
AI-Powered Root Cause Analysis(native capability)
Davis AI included
—
Included Infrastructure Metrics(metrics per host)
70 metrics
—
Code-Level Profiling Capability
Continuous profiling with memory/CPU/I/O analysis
Basic APM with selective profiling
Minimum Contract Term(months)
12-month commitment
—
Root Cause Analysis Technology
AI-driven Davis engine with code-level insights
—
Average MTTR Improvement(percent reduction)
60% reduction
35-45% reduction
Mean Time to Resolution (MTTR) Improvement(percentage reduction)
40-60% reduction with AI
30-40% faster (manual investigation)
Monthly Platform Cost (100GB/month ingestion)(USD)
$2,500-$5,000
$3,000-$9,900
Minimum Monthly Cost (Small Org)(USD)
$500-$800 typical (based on ~1-2 GB/day ingestion)
—
Supported Programming Languages (APM)(languages)
95+ languages
10+ languages
User Satisfaction Score (G2 Reviews)(out of 5.0)
4.5 stars (1,200+ reviews)
4.6 stars (1,800+ reviews)
Average Deployment Time(seconds)
3 hours
—
Average Time to Root Cause (MTTR)(minutes)
15-30 (with Davis AI)
—
Minimum Deployment Memory Requirement(MB)
2000+ MB (full SaaS service)
—
Mean Time to Resolution (MTTR)(minutes reduction)
45% faster than legacy APM
—
Query Performance on 1TB Index(milliseconds)
< 500ms (P95)
—
Show 5 more attributes
Average Time to Root Cause(minutes)
2.5 minutes
—
Free Tier Data Retention(days)
1 day
—
Default Data Retention(days)
13 days (metrics) / 8 days (events)
—
Error Deduplication Effectiveness(percent)
75% noise reduction
—
Event Capture Rate (Mobile)(percent)
99.0%
—
APM Code-Level Detail(null)
Full transaction tracing
—
APM Transaction Sampling Interval(seconds)
8 seconds
—
G2 Customer Satisfaction Rating (2024)(stars)
4.6/5.0
—
Customer Satisfaction (NPS)(score)
68 NPS
—
G2 Review Count (2024)(reviews)
1,200+
—
Ingest Rate (Typical)(events per second)
100,000+ EPS per cluster
—
Maximum Data Volume per Cluster(TB)
Multi-tenant SaaS limit (typically 50-500TB per org)
—
Learning Curve(difficulty rating)
1-2 months
—
Setup Time (First Deploy)(minutes)
45-60 minutes
—
User Interface Intuitiveness
More intuitive, faster onboarding
—
Average Setup Time(days)
3-5 days
—
Query Language
NRQL (natural language-like, easier to learn)
—
API Complexity(learning effort)
Simplified REST API with UI-first approach
—
Setup Time(minutes)
14-28 days
3 hours
AI-Powered Anomaly Detection(built-in)
Yes (Davis AI engine)
Advanced ML-based detection
Deployment Flexibility
SaaS only (limited on-premises for enterprise)
Cloud-only SaaS (no self-hosted option)
Global Data Centers(locations)
12+ regions
—
Kubernetes Support
Good with cloud-native focus
—
Deployment Options
SaaS only (cloud-hosted)
—
Community Dashboard Templates(dashboards)
Curated pre-built dashboards (proprietary)
—
Native Integrations(count)
700+ pre-built integrations
400+
Number of Out-of-Box Integrations(integrations)
500+ (incl. Slack, Splunk, Okta)
650+ (incl. Slack, PagerDuty, Datadog)
Available Integrations(integrations)
600+
—
AI Root Cause Analysis Capability(dependency hops)
Automatic detection up to 4+ hops
—
Gartner Peer Reviews Score(out of 5.0)
4.7/5.0 (1,800+ reviews)
—
Typical Enterprise Annual Cost (1000 hosts)(USD)
$540K-780K
—
Time to First Production Insight(days)
3-7 days
—
Automatic Instrumentation Coverage(technologies)
650+ supported technologies
—
APM Languages Supported(count)
12 languages
—
Query Language Flexibility(flexibility score)
Limited to predefined queries and dashboards
—
Community Size & Resources(active contributors)
~10,000 community members
—
Number of Pre-built Integrations(count)
600+
—
Native Integrations(count)
600+
—
Supported Data Types(types)
Logs, metrics, traces, user sessions, synthetics
—
Data Retention Default(months)
15 months
—
Kubernetes Cluster Support(native capability)
Full native support with auto-discovery
Native (full instrumentation out-of-box)
Deployment Models(count)
SaaS, on-premise, hybrid
—
AI-Driven Root Cause Automation(% of issues auto-detected)
~75-85% with Davis AI
~45-60% with AI assist
Mobile App Monitoring Support
Limited third-party integration only
Full native agents (iOS, Android, React Native)
Typical Enterprise Customer Size(employees)
5,000+ (enterprise focus)
500-10,000 (mid-market focus)
AI Root Cause Analysis Sophistication(capability level)
Advanced (causal, predictive, auto-remediation)
—
Ideal Organization Size(engineers)
500+ engineers
—
Time to First Alert(minutes)
2-5 minutes (after setup)
—
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)
—
Implementation Time (Average)(days)
52 minutes
—
Average Customer Onboarding Time(hours)
3-7 days
—
Data Source Integrations Available(count)
~700 integrations (includes agents, APIs, partners)
—
Supported APM Frameworks(count)
900+ with automatic instrumentation
—
Enterprise Support SLA
24/7 with 1-4 hour response SLA depending on tier
—
User Seats Included (Starter)(seats)
Full team access included; per-user pricing optional
—
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
—
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
—
Kubernetes Monitoring Capabilities(text)
Advanced cluster intelligence with pod diagnostics
—
Average Customer Satisfaction (G2 Rating)(stars)
4.3/5.0 (2,100+ reviews)
—
SDK Size (JavaScript)(KB gzipped)
~35 KB
—
Kubernetes Autodiscovery(coverage)
Manual configuration required
—
Dashboard Setup Time(minutes)
3-5 minutes
—
Pros & Cons
10 pros·6 cons across both
NR
Dynatrace
+5-3
Pros
- Davis AI automatically detects root causes without manual queries (reduces MTTR by 60% average)
- OneAgent eliminates manual instrumentation—automatic code-level insights in 10+ languages
- Unified platform includes APM, infrastructure, logs, and security in single pane of glass
- Excellent for container/Kubernetes environments with auto-discovery capabilities
- Real-time anomaly detection with context-aware alerting reduces false positives
Cons
- High pricing tier ($0.25-$0.50/GB) makes it expensive for small-to-mid teams
- Steep learning curve—UI is complex and requires dedicated training for operators
- Longer onboarding process (2-4 weeks typical for enterprise implementations)
NR
New Relic
+5-3
Pros
- Flexible consumption-based pricing with granular control over data ingestion costs
- Intuitive UI and NRQL query language—faster for developers to get value (days vs. weeks)
- Generous free tier ($100/month credits) makes it accessible for startups and mid-market
- Strong custom alerting and visualization capabilities with low complexity threshold
- Excellent integrations with CI/CD pipelines and popular DevOps tools (GitHub, Datadog, PagerDuty)
Cons
- Manual agent deployment required across all services—no automatic instrumentation
- Log management requires separate licensing ($0.30/GB additional cost)
- Root cause analysis requires manual NRQL queries or external AI—not as automated as competitors
Frequently Asked Questions
5 questions
Yes, many enterprises run both for redundancy or specialized use cases. Dynatrace excels at automatic root cause analysis, while New Relic is better for custom dashboards and developer self-service. However, running both increases costs and operational complexity.
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
Dynatrace on Wikipedia (opens in new tab)
Enterprise APM platform with AI-powered root cause analysis and full-stack infrastructure monitoring.
- 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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