Open-source visualization and dashboarding platform supporting 30+ data sources.
Teams needing multi-source observability dashboards, enterprises requiring RBAC and team collaboration, organizations using diverse monitoring backends
Open-source time-series database and monitoring system with built-in alerting.
Prometheus is a time-series database and monitoring system that collects metrics, while Grafana is a visualization and dashboarding platform that displays those metrics. Prometheus excels at data collection and alerting, whereas Grafana specializes in creating rich, interactive dashboards from multiple data sources.
Prometheus and Grafana serve complementary roles in modern observability stacks. Choose Prometheus if you need robust metric collection, time-series storage, and rule-based alerting with minimal external dependencies. Choose Grafana if you require multi-source data visualization, advanced dashboard customization, and integration with diverse monitoring backends including Prometheus itself.
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Teams needing multi-source observability dashboards, enterprises requiring RBAC and team collaboration, organizations using diverse monitoring backends
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| Metric | Grafana | Prometheus | 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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DevOps teams standardizing on Kubernetes, organizations prioritizing metric collection reliability, teams with strong PromQL expertise, projects requiring minimal operational overhead
Choose Prometheus if
DevOps teams standardizing on Kubernetes, organizations prioritizing metric collection reliability, teams with strong PromQL expertise, projects requiring minimal operational overhead
| 500K+ users |
| — |
| — |
| Base Monthly Cost Per User(USD) | $69 | — | — |
| Customer Retention Rate(percent) | 94% | — | — |
| GitHub Stars (Community Adoption)(stars) | 62,000+ | 54,000+ | +15% |
| Data Sources Supported(plugins) | 190+ official datasources | Remote storage endpoints only (~5 types) | +3700% |
| Default Data Retention(days) | None (external source dependent) | 15 days | — |
| Memory Usage (Typical Instance)(MB) | 200-500 | 50-150 | +250% |
| Query Language Learning Curve(weeks) | 2-4 (depends on datasource type) | 1-2 (PromQL specific but consistent) | +100% |
| Time to First Dashboard(minutes) | 30-60 (needs datasource setup) | 15-30 (local metrics immediately available) | +105% |
| Base Pricing (Annual, 100 hosts)(USD) | $0 (self-hosted) | — | — |
| Initial Deployment Time(days) | 14-28 days | — | — |
| Data Source Integrations(count) | 800+ | — | — |
| Supported Technologies (Languages/Frameworks)(count) | 300+ via integrations | — | — |
| Alert Management Channels(count) | 50+ | — | — |
| Grafana/Dynatrace Community Size(thousands of members) | 500K+ monthly active users | — | — |
| Required IT Staff for 10,000 hosts(FTE) | 3-5 FTE | — | — |
| Memory Footprint (Minimal Setup)(MB) | ~200 MB | ~50 MB | +300% |
| Supported Data Sources(count) | 30+ native integrations | Scrape-based (any Prometheus-compatible exporter) | — |
| Community Dashboard Templates(count) | 3,000+ templates | Limited (basic graphs) | — |
| Setup Time (Basic Production)(minutes) | 15-30 minutes | 30-60 minutes | -51% |
| Query Language Complexity(learning hours) | 2-5 hours (visual editor) | 20-40 hours (PromQL) | -90% |
| Default Local Data Retention(days) | 15 days | 15 days | — |
| Minimum RAM Requirements (Production)(GB) | 2 GB | 2 GB | — |
| Query Latency (1 billion data points)(milliseconds) | 150-300 ms | 150-300 ms | — |
| Number of Required Components(components) | 1 (single binary) | 1 (single binary) | — |
| Community Stars on GitHub(stars) | 25,000+ stars | 25,000+ stars | — |
| Setup Time (Kubernetes)(minutes) | 10-15 minutes | 10-15 minutes | — |
All figures sourced from publicly available data. Last updated Jun 2026.
Grafana
Visualization & Dashboarding Platform
Prometheus
Time-Series Database & Metrics Collection
Grafana
No native storage (connects to backends)
Prometheus
Built-in TSDB with 15-day default retention🏆
Grafana
Basic alerts via connected datasources
Prometheus
Advanced PromQL-based alerting with templates🏆
Grafana
190+ official plugins (Prometheus, InfluxDB, Elasticsearch, etc.)🏆
Prometheus
Exports to remote storage only (no multi-source)
Grafana
Datasource-dependent (PromQL, SQL, etc.)
Prometheus
PromQL - specialized for time-series data🏆
Grafana
62,000+ stars🏆
Prometheus
54,000+ stars
Grafana
$0-$50K/year (self-hosted free, cloud pricing varies)
Prometheus
$0-$30K/year (completely free open-source)🏆
Yes, Prometheus is fully self-contained and operates independently. It collects metrics, stores them in its time-series database, and provides a basic built-in UI for querying data via PromQL. However, Grafana is typically added for advanced visualization and multi-source dashboard creation. Prometheus alone is suitable for smaller deployments or when using command-line PromQL queries.
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| Attribute | ||
|---|---|---|
| Supported Data Sources(count) | 70+ | — |
| Pre-built Integrations(count) | 300+ | — |
| Data Sources Supported(plugins) | 190+ official datasources | Remote storage endpoints only (~5 types) |
| Supported Data Sources(count) | 30+ native integrations | Scrape-based (any Prometheus-compatible exporter) |
| Self-Hosting Support | Yes, full support | — |
| Open-Source Self-Hosted Availability(null) | Available (Apache 2.0) | — |
| Setup Time (Basic Production)(minutes) | 15-30 minutes | 30-60 minutes |
| Starting Monthly Cost(USD) | Free (open-source) | — |
| Base Monthly Cost Per User(USD) | $69 | — |
| Free Tier User Limit(users) | Unlimited users | — |
| Time to First Dashboard(minutes) | 60-120 | — |
| Initial Deployment Time(days) | 14-28 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) | Advanced (AlertManager with routing, grouping, silencing) |
| Data Source Integrations(count) | 800+ | — |
Show 3 more attributesAI-Powered Anomaly Detection Accuracy(percent) Not available — Alert Management Channels(count) 50+ — Multi-Cluster Query Support No (federation workaround available) — | ||
| Community Size(millions of users) | 500K+ users | — |
| Grafana/Dynatrace Community Size(thousands of members) | 500K+ monthly active users | — |
| Community Stars on GitHub(stars) | 25,000+ stars | — |
| Mean Time to Response (MTTR) Improvement(percent) | Not measured | — |
| Alert Fatigue Reduction(percent) | Alert grouping available | — |
| Memory Usage (Typical Instance)(MB) | 200-500 | 50-150 |
| Memory Footprint (Minimal Setup)(MB) | ~200 MB | ~50 MB |
| Minimum RAM Requirements (Production)(GB) | 2 GB | — |
Show 1 more attributeQuery Latency (1 billion data points)(milliseconds) 150-300 ms — | ||
| Customer Retention Rate(percent) | 94% | — |
| GitHub Stars (Community Adoption)(stars) | 62,000+ | 54,000+ |
| Default Data Retention(days) | None (external source dependent) | 15 days |
| Default Local Data Retention(days) | 15 days | — |
| Query Language Learning Curve(weeks) | 2-4 (depends on datasource type) | 1-2 (PromQL specific but consistent) |
| Standalone Operation(null) | No—requires external datasource | Yes—fully self-contained with TSDB |
| Time to First Dashboard(minutes) | 30-60 (needs datasource setup) | 15-30 (local metrics immediately available) |
| Base Pricing (Annual, 100 hosts)(USD) | $0 (self-hosted) | — |
| Object Storage Cost (1 TB/month)(USD) | N/A (local storage only) | — |
| Supported Technologies (Languages/Frameworks)(count) | 300+ via integrations | — |
| Required IT Staff for 10,000 hosts(FTE) | 3-5 FTE | — |
| Community Dashboard Templates(count) | 3,000+ templates | Limited (basic graphs) |
| Commercial Support Cost(USD/month) | $25-150+ per user | Free (no commercial tier) |
| Query Language Complexity(learning hours) | 2-5 hours (visual editor) | 20-40 hours (PromQL) |
| Built-in Alerting Rules(feature) | Visualization only (external routing required) | Yes (Alertmanager with 50+ integrations) |
| Number of Required Components(components) | 1 (single binary) | — |
| Setup Time (Kubernetes)(minutes) | 10-15 minutes | — |
Side-by-side comparison of numeric attributes