Open-source visualization and dashboarding platform supporting 30+ data sources.
Engineering teams with strong DevOps expertise, cost-conscious organizations, multi-vendor environments requiring unified dashboards, and companies needing full control over monitoring stack
Enterprise application performance monitoring platform with AI-driven insights and infrastructure monitoring.
Large enterprises with complex distributed systems, organizations prioritizing rapid deployment, teams lacking monitoring infrastructure expertise, and companies willing to invest in premium support and automated intelligence
Grafana is an open-source visualization and dashboarding platform ideal for teams managing their own monitoring stacks with lower costs, while Dynatrace is an enterprise AI-powered observability platform offering automatic full-stack monitoring with higher pricing but less operational overhead.
Choose Grafana if you have skilled DevOps/SRE teams, require deep customization, manage multiple monitoring tools, and operate under tight budget constraints. Choose Dynatrace if your organization prioritizes rapid time-to-value, wants automatic instrumentation across languages/frameworks, needs AI-driven insights out-of-the-box, and can justify higher enterprise spending for reduced operational complexity.
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Choose Grafana if
Engineering teams with strong DevOps expertise, cost-conscious organizations, multi-vendor environments requiring unified dashboards, and companies needing full control over monitoring stack
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| Metric | Grafana | Dynatrace | Diff |
|---|---|---|---|
| Supported Data Sources(count) | 70+ | — | — |
| Starting Monthly Cost(USD) | Free (open-source) | — | — |
| Time to First Dashboard(minutes) | 60-120 | — | — |
| Pre-built Integrations(count) | 300+ | — | — |
| Community Size |
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Choose Dynatrace if
Large enterprises with complex distributed systems, organizations prioritizing rapid deployment, teams lacking monitoring infrastructure expertise, and companies willing to invest in premium support and automated intelligence
| 500K+ users |
| — |
| — |
| Base Monthly Cost Per User(USD) | $69 | — | — |
| Customer Retention Rate(percent) | 94% | — | — |
| GitHub Stars (Community Adoption)(stars) | 62,000+ | — | — |
| Data Sources Supported(plugins) | 190+ official datasources | — | — |
| Memory Usage (Typical Instance)(MB) | 200-500 | — | — |
| Query Language Learning Curve(weeks) | 2-4 (depends on datasource type) | — | — |
| Time to First Dashboard(minutes) | 30-60 (needs datasource setup) | — | — |
| Base Pricing (Annual, 100 hosts)(USD) | $0 (self-hosted) | $50,000 | -100% |
| Initial Deployment Time(days) | 14-28 days | 3-5 days | +425% |
| Data Source Integrations(count) | 800+ | 600+ | +33% |
| Supported Technologies (Languages/Frameworks)(count) | 300+ via integrations | 100+ with native agents | +200% |
| AI-Powered Anomaly Detection Accuracy(percent) | Not available | 85% | — |
| Alert Management Channels(count) | 50+ | 40+ | +25% |
| Grafana/Dynatrace Community Size(thousands of members) | 500K+ monthly active users | 100K+ enterprise customers | +400% |
| Required IT Staff for 10,000 hosts(FTE) | 3-5 FTE | 0.5-1 FTE | +433% |
| Memory Footprint (Minimal Setup)(MB) | ~200 MB | — | — |
| Supported Data Sources(count) | 30+ native integrations | — | — |
| Community Dashboard Templates(count) | 3,000+ templates | — | — |
| Setup Time (Basic Production)(minutes) | 15-30 minutes | — | — |
| Query Language Complexity(learning hours) | 2-5 hours (visual editor) | — | — |
| Supported Technology Integrations(count) | 600+ | 600+ | — |
| Metric Data Retention(days) | 15 days | 15 days | — |
| Trace Data Retention(days) | 8 days | 8 days | — |
| Typical Implementation Timeline(months) | 6-12 weeks | 6-12 weeks | — |
| Starting Monthly Cost(USD) | Custom quote (typically $1000+) | Custom quote (typically $1000+) | — |
| Cost Per GB Ingested(USD per GB/month) | $15-25+ | $15-25+ | — |
| Supported Programming Languages(count) | 50+ | 50+ | — |
| Typical Enterprise Customer Annual Cost(USD) | $150,000-500,000 | $150,000-500,000 | — |
| Free Trial Duration(days) | 15 days | 15 days | — |
All figures sourced from publicly available data. Last updated Jun 2026.
Grafana
Open-source visualization layer; requires separate data collection tools
Dynatrace
All-in-one SaaS with built-in agents and AI-powered analytics🏆
Grafana
$50,000-$150,000 (self-managed)🏆
Dynatrace
$500,000-$2,000,000 (managed service)
Grafana
2-4 weeks with manual configuration
Dynatrace
3-5 days with auto-instrumentation🏆
Grafana
Limited; requires third-party integrations
Dynatrace
Native AI-powered anomaly detection and root cause analysis🏆
Grafana
800+ integrations and plugins🏆
Dynatrace
600+ integrations with automatic discovery
Grafana
High; requires dedicated team for maintenance
Dynatrace
Low; fully managed by vendor🏆
Grafana
Unlimited; source code available🏆
Dynatrace
Limited to vendor configuration options
Partially. Grafana can visualize the same metrics Dynatrace collects if you add separate agents (Prometheus Node Exporter, Telegraf, Elastic Agent), but you'll need to manually configure monitoring, build your own anomaly detection logic, and won't have Dynatrace's automatic instrumentation or AI-powered root cause analysis. Total cost becomes comparable once you factor in engineering effort.
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| Attribute | ||
|---|---|---|
| Supported Data Sources(count) | 70+ | — |
| Pre-built Integrations(count) | 300+ | — |
| Data Sources Supported(plugins) | 190+ official datasources | — |
| Supported Data Sources(count) | 30+ native integrations | — |
| Self-Hosting Support | Yes, full support | — |
| Open-Source Self-Hosted Availability(null) | Available (Apache 2.0) | — |
| Setup Time (Basic Production)(minutes) | 15-30 minutes | — |
| Typical Implementation Timeline(months) | 6-12 weeks | — |
| Starting Monthly Cost(USD) | Free (open-source) | — |
| Base Monthly Cost Per User(USD) | $69 | — |
| Free Tier User Limit(users) | Unlimited users | — |
| Starting Monthly Cost(USD) | Custom quote (typically $1000+) | — |
| Cost Per GB Ingested(USD per GB/month) | $15-25+ | — |
Show 1 more attributeTypical Enterprise Customer Annual Cost(USD) $150,000-500,000 — | ||
| Time to First Dashboard(minutes) | 60-120 | — |
| Initial Deployment Time(days) | 14-28 days | 3-5 days |
| Log Management | Requires Loki plugin | — |
| APM Capabilities | Plugin-based with limited support | — |
| On-Call Scheduling Features(null) | Requires integration (OnCall) | — |
| Built-in Alerting Capabilities(null) | Basic (via connected datasources) | — |
| Data Source Integrations(count) | 800+ | 600+ |
Show 2 more attributesAI-Powered Anomaly Detection Accuracy(percent) Not available 85% Alert Management Channels(count) 50+ 40+ | ||
| Community Size(millions of users) | 500K+ users | — |
| Grafana/Dynatrace Community Size(thousands of members) | 500K+ monthly active users | 100K+ enterprise customers |
| Mean Time to Response (MTTR) Improvement(percent) | Not measured | — |
| Alert Fatigue Reduction(percent) | Alert grouping available | — |
| Memory Usage (Typical Instance)(MB) | 200-500 | — |
| Memory Footprint (Minimal Setup)(MB) | ~200 MB | — |
| Customer Retention Rate(percent) | 94% | — |
| GitHub Stars (Community Adoption)(stars) | 62,000+ | — |
| Default Data Retention(days) | None (external source dependent) | — |
| Query Language Learning Curve(weeks) | 2-4 (depends on datasource type) | — |
| Standalone Operation(null) | No—requires external datasource | — |
| Time to First Dashboard(minutes) | 30-60 (needs datasource setup) | — |
| Implementation Time(hours) | 40-80+ hours | — |
| Base Pricing (Annual, 100 hosts)(USD) | $0 (self-hosted) | $50,000 |
| Supported Technologies (Languages/Frameworks)(count) | 300+ via integrations | 100+ with native agents |
| Required IT Staff for 10,000 hosts(FTE) | 3-5 FTE | 0.5-1 FTE |
| Community Dashboard Templates(count) | 3,000+ templates | — |
| Commercial Support Cost(USD/month) | $25-150+ per user | — |
| Query Language Complexity(learning hours) | 2-5 hours (visual editor) | — |
| Built-in Alerting Rules(feature) | Visualization only (external routing required) | — |
| Supported Technology Integrations(count) | 600+ | — |
| Metric Data Retention(days) | 15 days | — |
| Trace Data Retention(days) | 8 days | — |
| Supported Programming Languages(count) | 50+ | — |
| Infrastructure Monitoring Depth(scope level) | Full-stack (hosts, containers, DBs, k8s) | — |
| AI Root Cause Analysis Capability(capability level) | Advanced (Davis AI with 50+ signal analysis) | — |
| Free Trial Duration(days) | 15 days | — |
Side-by-side comparison of numeric attributes