software
Dynatrace vs Sentry 2026: APM Comparison
Dynatrace is an enterprise-grade APM platform with AI-powered root cause analysis and broad infrastructure monitoring, while Sentry specializes in error tracking and performance monitoring for developers with a simpler, more affordable setup. Dynatrace excels for large organizations with complex environments, while Sentry is better suited for teams prioritizing developer experience and cost efficiency.
Dynatrace
Enterprise APM platform with AI-powered root cause analysis and full-stack infrastructure monitoring.
Large enterprises with complex, distributed systems and budgets exceeding $100K/year
Score63%
VS
S
Sentry
Developer-first error tracking and performance monitoring SaaS with easy integration and consumption-based pricing.
Startups, SaaS companies, and development teams prioritizing quick implementation and cost efficiency
Score63%
172 attributes7 differences16 pros/cons
Quick Answer
AI SummaryDynatrace is an enterprise-grade APM platform with AI-powered root cause analysis and broad infrastructure monitoring, while Sentry specializes in error tracking and performance monitoring for developers with a simpler, more affordable setup. Dynatrace excels for large organizations with complex environments, while Sentry is better suited for teams prioritizing developer experience and cost efficiency.
Our Verdict
AI-assistedChoose Dynatrace if you need comprehensive infrastructure monitoring, advanced AI-driven root cause analysis, and have the budget and complexity to justify enterprise APM—ideal for Fortune 500 companies and complex microservices environments. Choose Sentry if you're a startup or mid-market team looking for affordable, developer-friendly error tracking with quick implementation—perfect for agile teams that prioritize rapid deployment over comprehensive infrastructure insights.
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Dynatrace
6.3/10
Sentry
8.8/10
S
Choose Dynatrace if
Large enterprises with complex, distributed systems and budgets exceeding $100K/year
S
Choose Sentry if
Best pickStartups, SaaS companies, and development teams prioritizing quick implementation and cost efficiency
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Key Differences at a Glance
- Primary Focus:Full-stack APM with AI-driven insights vs Error tracking and performance monitoring
- Pricing Model:✓ Sentry wins($29/month start, $0.50 per event (pay-as-you-go) vs $15-25+ per GB ingested/month (enterprise))
- Setup Complexity:✓ Sentry wins(Simple SDK integration, 5-10 minutes vs Complex, requires dedicated implementation)
Key Facts & Figures
123 numeric metrics compared
| Metric | Dynatrace | Sentry | 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+ | $0.50 per event | — |
| Typical Enterprise Customer Annual Cost(USD) | $150,000-500,000 | $5,000-20,000 | |
| Free Trial Duration(days) | 14 days (limited) | 14 days (full features) | |
| Base Monthly Cost(USD) | $400 | — | — |
| Supported Programming Languages(count) | 50+ languages | 15+ languages | |
| Metrics Data Retention(days) | 15 days | — | — |
| API Request Rate Limit(requests per minute) | 1,000 req/min | — | — |
| Base Monthly Cost (100 GB/month)(USD) | $5,000-8,000 | — | — |
| Implementation Timeline(weeks) | 2-4 weeks | — | — |
| Out-of-Box Integrations(count) | 500+ | — | — |
| Max Data Retention (free tier)(days) | 15 days | — | — |
| Typical Implementation Time(weeks) | 3 weeks | — | — |
| Base Monthly Cost per Host(USD) | $50/month | — | — |
| Third-Party Integrations(integrations) | 450+ 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 | — | — |
| Monthly Platform Cost (100GB/month ingestion)(USD) | $2,500-$5,000 | — | — |
| Supported Programming Languages (APM)(languages) | 95+ languages | — | — |
| Mean Time to Resolution (MTTR) Improvement(percentage reduction) | 40-60% reduction with AI | — | — |
| Setup Time for Multi-Service Environment(days) | 2-4 days (automatic) | — | — |
| Data Retention (Standard Plan)(days) | 35 days | 14 days | |
| Free Trial Period(days) | 15 days | — | — |
| User Satisfaction Score (G2 Reviews)(out of 5.0) | 4.5 stars (1,200+ 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 | — | — |
| 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 | $29 | |
| 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) | — | — |
| Average Implementation Duration(months) | 4-8 weeks | — | — |
| AI-Driven Root Cause Automation(% of issues auto-detected) | ~75-85% with Davis AI | — | — |
| Standard Data Retention(months) | 15 months | — | — |
| Typical Enterprise Customer Size(employees) | 5,000+ (enterprise focus) | — | — |
| Number of Out-of-Box Integrations(integrations) | 500+ (incl. Slack, Splunk, Okta) | — | — |
| Monthly Pricing (Small Organization)(USD) | $12,000-20,000 | $500-2,000 | |
| Ideal Organization Size(engineers) | 500+ engineers | 5-200 engineers | |
| Time to First Alert(minutes) | 2-5 minutes (after setup) | 1-2 minutes | |
| Monthly Base Price(USD) | $0 (free tier) / $29/month (basic paid) | $0 (free tier) / $29/month (basic paid) | |
| Supported Languages/SDKs(count) | 30+ languages | 30+ languages | |
| Error Event Retention (Free Tier)(days) | 30 days | 30 days | |
| Integrations(count) | 100+ integrations | 100+ integrations | |
| Customer Base Size(organizations) | 2,000,000+ developers | 2,000,000+ developers | |
| Base Monthly Price(USD) | $29 | $29 | |
| Free Tier Events per Month(events) | 5,000 events | 5,000 events | |
| Session Replay Starting Tier(USD/month) | $29 (Team plan) | $29 (Team plan) | |
| Setup Time (First Deploy)(minutes) | 10-15 minutes | 10-15 minutes | |
| Starting Cost (Pro Plan)(USD/month) | $29/month | $29/month | |
| Error Tracking Speed(seconds) | <1 second | <1 second | |
| Supported Languages(count) | 20+ languages | 20+ languages | |
| Log Storage (included)(GB/month) | Minimal | Minimal | |
| Uptime SLA(percentage) | 99.9% | 99.9% | |
| Data Retention (free tier)(days) | 90 days | 90 days | |
| Event Capture Latency(milliseconds) | 50ms | 50ms | |
| Base Plan Pricing (10K events/month)(USD) | $29 | $29 | |
| Supported SDKs/Languages(count) | 15+ | 15+ | |
| Average Setup Time(days) | 20 | 20 | |
| Price per 1M Events/Month(USD) | $1,200 | $1,200 | |
| Monthly Events Processed (Billions)(Billion events) | 1,500 billion | 1,500 billion | |
| Supported Language SDKs(count) | 30+ SDKs | 30+ SDKs | |
| Free Tier Monthly Limit(completions/month) | 5,000 events | 5,000 events | |
| Starting Paid Plan Price(USD/month) | $29 | $29 | |
| Average Debugging Time Reduction(percent reduction) | 40% (with logs + traces) | 40% (with logs + traces) | |
| JavaScript SDK Bundle Size Impact(KB) | 45 KB gzipped | 45 KB gzipped | |
| Free Tier Event Quota(events/month) | 5,000 | 5,000 | |
| Setup Time for First Alert(minutes) | 7 | 7 | |
| Supported Languages/Frameworks(count) | 20+ | 20+ | |
| Data Retention (Free Plan)(days) | 30 | 30 | |
| Starting Monthly Price(USD) | $29 | $29 | |
| Free Tier Data Retention(days) | 7 days | 7 days | |
| Available Integrations(integrations) | 750+ | 750+ | |
| Typical Enterprise Annual Cost(USD) | $10k-$25k | $10k-$25k | |
| Time to Setup (minutes)(minutes) | 5-10 | 5-10 | |
| Free Tier Event Limit(events/month) | 5,000 | 5,000 | |
| Performance Monitoring APM SDKs(supported languages) | 8 languages | 8 languages | |
| Minimum Paid Plan Price(USD/month) | $29 | $29 | |
| Global Data Center Regions(regions) | 4 regions | 4 regions |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
Dynatrace leads2 ties
S
2SentryDynatrace
Attribute
Sentry
- Full-stack APM with AI-driven insightsPrimary FocusError tracking and performance monitoring
- $15-25+ per GB ingested/month (enterprise)Pricing Model$29/month start, $0.50 per event (pay-as-you-go)(winner)
- Complex, requires dedicated implementationSetup ComplexitySimple SDK integration, 5-10 minutes(winner)
- Advanced Davis AI for root cause analysis(winner)AI/ML CapabilitiesBasic error grouping and trend detection
- Comprehensive (servers, containers, databases)(winner)Infrastructure MonitoringLimited to application layer
- 50+ languages/frameworks(winner)Supported Languages15+ primary SDKs
- Enterprise (1000+ employees)Best For Organization SizeStartups to mid-market (10-500 employees)
- Primary Focus
Dynatrace
Full-stack APM with AI-driven insights
Sentry
Error tracking and performance monitoring
- Pricing Model
Dynatrace
$15-25+ per GB ingested/month (enterprise)
Sentry
$29/month start, $0.50 per event (pay-as-you-go)(winner)
- Setup Complexity
Dynatrace
Complex, requires dedicated implementation
Sentry
Simple SDK integration, 5-10 minutes(winner)
- AI/ML Capabilities
Dynatrace
Advanced Davis AI for root cause analysis(winner)
Sentry
Basic error grouping and trend detection
- Infrastructure Monitoring
Dynatrace
Comprehensive (servers, containers, databases)(winner)
Sentry
Limited to application layer
- Supported Languages
Dynatrace
50+ languages/frameworks(winner)
Sentry
15+ primary SDKs
- Best For Organization Size
Dynatrace
Enterprise (1000+ employees)
Sentry
Startups to mid-market (10-500 employees)
Full Comparison
| Attribute | Dynatrace | Sentry |
|---|---|---|
| Supported Technology Integrations(count) | 600+ | — |
| Metric Data Retention(days) | 15 days | — |
| Trace Data Retention(days) | 8 days | — |
| Metrics Data Retention(days) | 15 days | — |
| Max Data Retention (free tier)(days) | 15 days | — |
| Data Retention (Default)(months) | 15-30 days (configurable) | — |
Show 3 more attributesLog Retention (Standard)(days) 5 days — Standard Data Retention(months) 15 months — Data Retention (Free Plan)(days) 30 — | ||
| Typical Implementation Timeline(days) | 6-12 weeks | — |
| Free Trial Duration(days) | 14 days (limited) | 14 days (full features) |
| Setup Time for Multi-Service Environment(days) | 2-4 days (automatic) | — |
| Free Trial Period(days) | 15 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 | $500-2,000(winner) |
| 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 SDKs/Languages(count) | 15+ | — |
| Supported Technologies (Languages/Frameworks)(count) | 100+ with native agents | — |
| Supported Programming Languages(count) | 50+ languages(winner) | 15+ languages |
| Supported Technologies(integrations) | 650+ out-of-box | — |
| Supported Languages/SDKs(count) | 30+ languages | — |
| Supported Languages/Frameworks(count) | 20+ | — |
| AI-Powered Anomaly Detection Accuracy(percent) | 85% | — |
| Alert Management Channels(count) | 40+ | — |
| Out-of-Box Integrations(count) | 500+ | — |
| Automatic Code Instrumentation | Native zero-code instrumentation | — |
| Native Kubernetes Support | Built-in Kubernetes Observer | — |
Show 23 more attributesThird-Party Integrations(integrations) 450+ integrations — Data Retention (Standard Plan)(days) 35 days 14 days Kubernetes/Container Auto-Discovery(capability) Native, automatic service mapping — 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) Application-level only Error Event Retention (Free Tier)(days) 30 days — Integrations(count) 100+ integrations — Uptime Monitoring Included No, separate product — Infrastructure Monitoring Third-party integration required — Session Replay Starting Tier(USD/month) $29 (Team plan) — Log Aggregation Capability Basic; limited log context only — Session Replay in Base Plan Yes (included) — Log Level Support ERROR + limited WARN — Automatic Source Map Processing Yes (Symbol Server included) — Native Infrastructure Monitoring No (via integrations only) — Integrated Log Management No — Primary Use Case Coverage Error tracking, APM, session replay — Performance Monitoring APM SDKs(supported languages) 8 languages — Session Replay in Free Tier(sessions/month) Not included — Mobile SDK Support(platforms) iOS, Android, React Native, Flutter — Source Map Support(supported) Advanced with automatic upload — | ||
| Grafana/Dynatrace Community Size(thousands of members) | 100K+ enterprise customers | — |
| Community Size(members) | 5,000+ (proprietary) | — |
| 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+ | $0.50 per event |
| Typical Enterprise Customer Annual Cost(USD) | $150,000-500,000 | $5,000-20,000(winner) |
| Base Monthly Cost(USD) | $400 | — |
| Base Monthly Cost (100 GB/month)(USD) | $5,000-8,000 | — |
| Base Monthly Cost per Host(USD) | $50/month | — |
Show 20 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 $29 Log Ingestion Cost per GB(USD) $1.20-1.60 — Typical Monthly Cost (100 hosts)(USD) $5,000-15,000 (host-based licensing) — Monthly Base Price(USD) $0 (free tier) / $29/month (basic paid) — Base Monthly Price(USD) $29 — Free Tier Events per Month(events) 5,000 events — Free Tier Value(USD/month) $0 - up to 5,000 errors/month — Starting Cost (Pro Plan)(USD/month) $29/month — Base Plan Pricing (10K events/month)(USD) $29 — Price per 1M Events/Month(USD) $1,200 — Free Tier Monthly Limit(completions/month) 5,000 events — Starting Paid Plan Price(USD/month) $29 — Free Tier Event Quota(events/month) 5,000 — Starting Monthly Price(USD) $29 — Typical Enterprise Annual Cost(USD) $10k-$25k — | ||
| Implementation Time(weeks) | 40-80+ hours | 0.25-0.5 hours(winner) |
| 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 | — |
| Self-Hosting Option | Yes, fully open-source | — |
| Infrastructure Monitoring Depth(scope level) | Full-stack (hosts, containers, DBs, k8s) | Application-layer only |
| User Session Replay(feature) | Basic support | — |
| API Request Rate Limit(requests per minute) | 1,000 req/min | — |
| Implementation Timeline(weeks) | 2-4 weeks | — |
| Code-Level Instrumentation Depth(null) | Full bytecode line-level | — |
| Automatic Anomaly Detection(null) | ML-based automatic baselines | — |
| Typical Implementation Time(weeks) | 3 weeks | — |
| AI Anomaly Detection | Proactive Davis AI engine | — |
| 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 | — |
| 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 | — |
| Mean Time to Resolution (MTTR) Improvement(percentage reduction) | 40-60% reduction with AI | — |
| Monthly Platform Cost (100GB/month ingestion)(USD) | $2,500-$5,000 | — |
| Supported Programming Languages (APM)(languages) | 95+ languages | — |
| User Satisfaction Score (G2 Reviews)(out of 5.0) | 4.5 stars (1,200+ 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 attributesAverage Time to Root Cause(minutes) 2.5 minutes — Error Tracking Speed(seconds) <1 second — Event Capture Latency(milliseconds) 50ms — JavaScript SDK Bundle Size Impact(KB) 45 KB gzipped — Free Tier Data Retention(days) 7 days — | ||
| APM Code-Level Detail(null) | Full transaction tracing | — |
| 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 | — |
| Learning Curve(difficulty rating) | 1-2 months | — |
| Setup Time (First Deploy)(minutes) | 10-15 minutes | — |
| Average Setup Time(days) | 20 | — |
| API Complexity(learning effort) | Simplified REST API with UI-first approach | — |
| Setup Time(minutes) | 14-28 days | 0.5-1 day(winner) |
| AI-Powered Anomaly Detection(built-in) | Yes (Davis AI engine) | — |
| Deployment Flexibility | SaaS only (limited on-premises for enterprise) | — |
| Deployment Options | SaaS, limited self-hosted | — |
| Global Data Center Regions(regions) | 4 regions | — |
| Community Dashboard Templates(dashboards) | Curated pre-built dashboards (proprietary) | — |
| Native Integrations(count) | 700+ pre-built integrations | — |
| Number of Out-of-Box Integrations(integrations) | 500+ (incl. Slack, Splunk, Okta) | — |
| Available Integrations(integrations) | 750+ | — |
| AI Root Cause Analysis Capability(dependency hops) | Automatic detection up to 4+ hops | Basic (error grouping and trends) |
| 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 | — |
| 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+ | — |
| Supported Data Types(types) | Logs, metrics, traces, user sessions, synthetics | — |
| Data Retention Default(months) | 15 months | — |
| Log Storage (included)(GB/month) | Minimal | — |
| Data Retention (free tier)(days) | 90 days | — |
| Kubernetes Cluster Support(native capability) | Full native support with auto-discovery | — |
| Supported Language SDKs(count) | 30+ SDKs | — |
| Backend Error Tracking Support(platforms) | Python, Java, Go, Node.js, Ruby, PHP, .NET, etc. | — |
| Deployment Models(count) | SaaS, on-premise, hybrid | — |
| AI-Driven Root Cause Automation(% of issues auto-detected) | ~75-85% with Davis AI | — |
| Mobile App Monitoring Support | Limited third-party integration only | — |
| Typical Enterprise Customer Size(employees) | 5,000+ (enterprise focus) | — |
| AI Root Cause Analysis Sophistication(capability level) | Advanced (causal, predictive, auto-remediation) | Basic (fingerprinting, grouping) |
| Ideal Organization Size(engineers) | 500+ engineers | 5-200 engineers |
| Time to First Alert(minutes) | 2-5 minutes (after setup) | 1-2 minutes(winner) |
| Customer Base Size(organizations) | 2,000,000+ developers | — |
| Supported Languages(count) | 20+ languages | — |
| Uptime SLA(percentage) | 99.9% | — |
| Monthly Events Processed (Billions)(Billion events) | 1,500 billion | — |
| Session Replay Coverage(percent) | Limited (via plugins) | — |
| Average Debugging Time Reduction(percent reduction) | 40% (with logs + traces) | — |
| Setup Time for First Alert(minutes) | 7 | — |
| Time to Setup (minutes)(minutes) | 5-10 | — |
| Session Replay Feature(built-in capability) | Native with Replay SDK | — |
| Free Tier Event Limit(events/month) | 5,000 | — |
| Minimum Paid Plan Price(USD/month) | $29 | — |
DynatraceSSentry
Supported Technology Integrations(count)
600+
—
Metric Data Retention(days)
15 days
—
Trace Data Retention(days)
8 days
—
Metrics Data Retention(days)
15 days
—
Max Data Retention (free tier)(days)
15 days
—
Data Retention (Default)(months)
15-30 days (configurable)
—
Show 3 more attributes
Log Retention (Standard)(days)
5 days
—
Standard Data Retention(months)
15 months
—
Data Retention (Free Plan)(days)
30
—
Typical Implementation Timeline(days)
6-12 weeks
—
Free Trial Duration(days)
14 days (limited)
14 days (full features)
Setup Time for Multi-Service Environment(days)
2-4 days (automatic)
—
Free Trial Period(days)
15 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
$500-2,000
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 SDKs/Languages(count)
15+
—
Supported Technologies (Languages/Frameworks)(count)
100+ with native agents
—
Supported Programming Languages(count)
50+ languages
15+ languages
Supported Technologies(integrations)
650+ out-of-box
—
Supported Languages/SDKs(count)
30+ languages
—
Supported Languages/Frameworks(count)
20+
—
AI-Powered Anomaly Detection Accuracy(percent)
85%
—
Alert Management Channels(count)
40+
—
Out-of-Box Integrations(count)
500+
—
Automatic Code Instrumentation
Native zero-code instrumentation
—
Native Kubernetes Support
Built-in Kubernetes Observer
—
Show 23 more attributes
Third-Party Integrations(integrations)
450+ integrations
—
Data Retention (Standard Plan)(days)
35 days
14 days
Kubernetes/Container Auto-Discovery(capability)
Native, automatic service mapping
—
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)
Application-level only
Error Event Retention (Free Tier)(days)
30 days
—
Integrations(count)
100+ integrations
—
Uptime Monitoring Included
No, separate product
—
Infrastructure Monitoring
Third-party integration required
—
Session Replay Starting Tier(USD/month)
$29 (Team plan)
—
Log Aggregation Capability
Basic; limited log context only
—
Session Replay in Base Plan
Yes (included)
—
Log Level Support
ERROR + limited WARN
—
Automatic Source Map Processing
Yes (Symbol Server included)
—
Native Infrastructure Monitoring
No (via integrations only)
—
Integrated Log Management
No
—
Primary Use Case Coverage
Error tracking, APM, session replay
—
Performance Monitoring APM SDKs(supported languages)
8 languages
—
Session Replay in Free Tier(sessions/month)
Not included
—
Mobile SDK Support(platforms)
iOS, Android, React Native, Flutter
—
Source Map Support(supported)
Advanced with automatic upload
—
Grafana/Dynatrace Community Size(thousands of members)
100K+ enterprise customers
—
Community Size(members)
5,000+ (proprietary)
—
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+
$0.50 per event
Typical Enterprise Customer Annual Cost(USD)
$150,000-500,000
$5,000-20,000
Base Monthly Cost(USD)
$400
—
Base Monthly Cost (100 GB/month)(USD)
$5,000-8,000
—
Base Monthly Cost per Host(USD)
$50/month
—
Show 20 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
$29
Log Ingestion Cost per GB(USD)
$1.20-1.60
—
Typical Monthly Cost (100 hosts)(USD)
$5,000-15,000 (host-based licensing)
—
Monthly Base Price(USD)
$0 (free tier) / $29/month (basic paid)
—
Base Monthly Price(USD)
$29
—
Free Tier Events per Month(events)
5,000 events
—
Free Tier Value(USD/month)
$0 - up to 5,000 errors/month
—
Starting Cost (Pro Plan)(USD/month)
$29/month
—
Base Plan Pricing (10K events/month)(USD)
$29
—
Price per 1M Events/Month(USD)
$1,200
—
Free Tier Monthly Limit(completions/month)
5,000 events
—
Starting Paid Plan Price(USD/month)
$29
—
Free Tier Event Quota(events/month)
5,000
—
Starting Monthly Price(USD)
$29
—
Typical Enterprise Annual Cost(USD)
$10k-$25k
—
Implementation Time(weeks)
40-80+ hours
0.25-0.5 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
—
Self-Hosting Option
Yes, fully open-source
—
Infrastructure Monitoring Depth(scope level)
Full-stack (hosts, containers, DBs, k8s)
Application-layer only
User Session Replay(feature)
Basic support
—
API Request Rate Limit(requests per minute)
1,000 req/min
—
Implementation Timeline(weeks)
2-4 weeks
—
Code-Level Instrumentation Depth(null)
Full bytecode line-level
—
Automatic Anomaly Detection(null)
ML-based automatic baselines
—
Typical Implementation Time(weeks)
3 weeks
—
AI Anomaly Detection
Proactive Davis AI engine
—
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
—
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
—
Mean Time to Resolution (MTTR) Improvement(percentage reduction)
40-60% reduction with AI
—
Monthly Platform Cost (100GB/month ingestion)(USD)
$2,500-$5,000
—
Supported Programming Languages (APM)(languages)
95+ languages
—
User Satisfaction Score (G2 Reviews)(out of 5.0)
4.5 stars (1,200+ 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
—
Error Tracking Speed(seconds)
<1 second
—
Event Capture Latency(milliseconds)
50ms
—
JavaScript SDK Bundle Size Impact(KB)
45 KB gzipped
—
Free Tier Data Retention(days)
7 days
—
APM Code-Level Detail(null)
Full transaction tracing
—
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
—
Learning Curve(difficulty rating)
1-2 months
—
Setup Time (First Deploy)(minutes)
10-15 minutes
—
Average Setup Time(days)
20
—
API Complexity(learning effort)
Simplified REST API with UI-first approach
—
Setup Time(minutes)
14-28 days
0.5-1 day
AI-Powered Anomaly Detection(built-in)
Yes (Davis AI engine)
—
Deployment Flexibility
SaaS only (limited on-premises for enterprise)
—
Deployment Options
SaaS, limited self-hosted
—
Global Data Center Regions(regions)
4 regions
—
Community Dashboard Templates(dashboards)
Curated pre-built dashboards (proprietary)
—
Native Integrations(count)
700+ pre-built integrations
—
Number of Out-of-Box Integrations(integrations)
500+ (incl. Slack, Splunk, Okta)
—
Available Integrations(integrations)
750+
—
AI Root Cause Analysis Capability(dependency hops)
Automatic detection up to 4+ hops
Basic (error grouping and trends)
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
—
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+
—
Supported Data Types(types)
Logs, metrics, traces, user sessions, synthetics
—
Data Retention Default(months)
15 months
—
Log Storage (included)(GB/month)
Minimal
—
Data Retention (free tier)(days)
90 days
—
Kubernetes Cluster Support(native capability)
Full native support with auto-discovery
—
Supported Language SDKs(count)
30+ SDKs
—
Backend Error Tracking Support(platforms)
Python, Java, Go, Node.js, Ruby, PHP, .NET, etc.
—
Deployment Models(count)
SaaS, on-premise, hybrid
—
AI-Driven Root Cause Automation(% of issues auto-detected)
~75-85% with Davis AI
—
Mobile App Monitoring Support
Limited third-party integration only
—
Typical Enterprise Customer Size(employees)
5,000+ (enterprise focus)
—
AI Root Cause Analysis Sophistication(capability level)
Advanced (causal, predictive, auto-remediation)
Basic (fingerprinting, grouping)
Ideal Organization Size(engineers)
500+ engineers
5-200 engineers
Time to First Alert(minutes)
2-5 minutes (after setup)
1-2 minutes
Customer Base Size(organizations)
2,000,000+ developers
—
Supported Languages(count)
20+ languages
—
Uptime SLA(percentage)
99.9%
—
Monthly Events Processed (Billions)(Billion events)
1,500 billion
—
Session Replay Coverage(percent)
Limited (via plugins)
—
Average Debugging Time Reduction(percent reduction)
40% (with logs + traces)
—
Setup Time for First Alert(minutes)
7
—
Time to Setup (minutes)(minutes)
5-10
—
Session Replay Feature(built-in capability)
Native with Replay SDK
—
Free Tier Event Limit(events/month)
5,000
—
Minimum Paid Plan Price(USD/month)
$29
—
Pros & Cons
10 pros·6 cons across both
S
Dynatrace
+5-3
Pros
- Davis AI automatically identifies root causes across 50+ signals
- Full-stack visibility from user interactions to database queries
- Infrastructure monitoring for servers, containers, and Kubernetes
- AIOps capabilities with intelligent alerting and automated response
- Supports 50+ programming languages and frameworks
Cons
- Expensive for small teams ($15-25+ per GB/month minimum)
- Steep learning curve requiring dedicated training and implementation expertise
- Overkill for simple applications or microservices with low complexity
S
Sentry
+5-3
Pros
- Affordable pricing starting at $29/month with transparent per-event costs
- 5-minute SDK setup for most frameworks (React, Python, Go, etc.)
- Developer-friendly UI with intuitive error grouping and filtering
- Excellent performance monitoring for client-side issues
- Strong open-source community and extensive documentation
Cons
- Limited to application-layer monitoring (no infrastructure/database depth)
- Basic AI compared to competitors (simple grouping vs root cause analysis)
- Less suitable for complex enterprise environments with multiple backend systems
Frequently Asked Questions
5 questions
Dynatrace is an enterprise APM platform providing full-stack monitoring (application, infrastructure, databases) with advanced AI-driven root cause analysis, while Sentry focuses on application-level error tracking and performance monitoring with a developer-friendly interface. Dynatrace is best for large enterprises with complex environments; Sentry excels for startups and development teams.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
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Wikipedia
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