Grafana vs Kibana 2026 | Comparison Guide
Grafana is a universal visualization platform supporting 80+ data sources including Prometheus, InfluxDB, and Elasticsearch, while Kibana is Elasticsearch's native analytics tool optimized specifically for log and event data. Grafana excels in multi-source dashboarding; Kibana dominates in full-text search and log analysis.
Grafana
Open-source visualization and observability platform supporting 80+ data sources
DevOps teams managing multiple monitoring systems, SREs needing unified dashboards, companies using Prometheus-based stacks, organizations requiring cross-platform observability
Kibana
Elasticsearch-native analytics and visualization platform for logs, metrics, and events
Organizations running Elastic Stack for centralized logging, security teams performing threat forensics, DevOps teams analyzing structured logs, enterprises with Elasticsearch-first architecture
Quick Answer
AI SummaryGrafana is a universal visualization platform supporting 80+ data sources including Prometheus, InfluxDB, and Elasticsearch, while Kibana is Elasticsearch's native analytics tool optimized specifically for log and event data. Grafana excels in multi-source dashboarding; Kibana dominates in full-text search and log analysis.
Our Verdict
AI-assistedChoose Grafana if you need a multi-source observability platform that consolidates metrics from Prometheus, InfluxDB, CloudWatch, and other systems into unified dashboards with powerful alerting. Choose Kibana if you're heavily invested in the Elastic Stack and require advanced log search, forensics, and integrated APM for complete application performance monitoring.
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Choose Grafana if
Best pickDevOps teams managing multiple monitoring systems, SREs needing unified dashboards, companies using Prometheus-based stacks, organizations requiring cross-platform observability
Choose Kibana if
Organizations running Elastic Stack for centralized logging, security teams performing threat forensics, DevOps teams analyzing structured logs, enterprises with Elasticsearch-first architecture
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Key Differences at a Glance
- Data Source Support:✓ Grafana wins(80+ integrations (Prometheus, InfluxDB, Graphite, AWS CloudWatch, Elasticsearch, MySQL, PostgreSQL, etc.) vs Primarily Elasticsearch; limited support for other sources)
- Full-Text Search Capabilities:✓ Kibana wins(Advanced full-text search with Lucene syntax; built for log exploration vs Basic text search; not optimized for log analysis)
- Dashboard Creation Speed:✓ Grafana wins(Faster with pre-built templates; 5-10 minutes to deploy vs Slower setup; requires Elasticsearch configuration and mapping understanding)
Key Facts & Figures
65 numeric metrics compared
| Metric | Grafana | Kibana | Ratio |
|---|---|---|---|
| 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(millions of users) | 500K+ users | — | — |
| Base Monthly Cost Per User(USD) | $69 | — | — |
| Customer Retention Rate(percent) | 94% | — | — |
| GitHub Stars (Community Adoption)(stars) | 58,000+ (as of 2026) | — | — |
| Data Sources Supported(integrations) | 90+ (Prometheus, Elasticsearch, Datadog, etc.) | — | — |
| Memory Usage (Typical Instance)(MB) | 200-500 | — | — |
| Query Language Learning Curve(weeks) | 2-4 (depends on datasource type) | — | — |
| Time to First Dashboard(hours) | 30-60 (needs datasource setup) | — | — |
| Base Pricing (Annual, 100 hosts)(USD) | $0 (self-hosted) | — | — |
| Initial Deployment Time(weeks) | 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 | — | — |
| Supported Data Sources(count) | 100+ | Elasticsearch/Opensearch only | |
| Community Dashboard Templates(templates) | 2,000+ | 500+ | |
| Setup Time (Basic Production)(minutes) | 15-30 minutes | — | — |
| Minimum Monthly Cost (Small Org)(USD) | $0 (open-source) or $9 (Grafana Cloud) | — | — |
| Data Source Integrations Available(count) | 450+ pre-built plugins | — | — |
| Supported APM Frameworks(count) | 100+ via plugins (manual integration required) | — | — |
| Setup Time for Basic Monitoring(days) | 2-5 days (infrastructure knowledge required) | — | — |
| Data Retention (Free Tier)(months) | Unlimited (self-hosted) or 15 days (Grafana Cloud free) | — | — |
| User Seats Included (Starter)(seats) | Unlimited on self-hosted; 1 on Grafana Cloud free | — | — |
| Dashboard Creation Time(minutes) | 5-10 minutes | 10-15 minutes | |
| Cloud Hosting Starting Price(USD/month) | $79/month | $300+/month | |
| Self-Hosted Cost(USD/month) | $0 (free open-source) | $0 (Opensearch) or $15-50k (Elasticsearch) | — |
| Starting Monthly Cost Per User(USD) | $0 (open-source) | — | — |
| Native Data Connectors(connectors) | 60+ | — | — |
| Minimum Dashboard Refresh Interval(seconds) | 0.001 seconds (milliseconds) | — | — |
| Visualization Chart Types(count) | 15+ | — | — |
| Enterprise Annual License Cost (Single Server)(USD) | $0 (self-hosted free tier) | — | — |
| Time to First Dashboard Creation(minutes) | 5-10 (intuitive interface) | — | — |
| Base Monthly Cost (Single User Cloud)(USD) | $10 (Grafana Cloud Starter) | — | — |
| Annual Cost (1GB/day Log Ingestion)(USD) | $2,400-$7,200 | — | — |
| Log Query Response Time(milliseconds) | 5,000-10,000 (Loki) | — | — |
| Event Ingestion Rate (Single Indexer)(events/sec) | 1,000-2,000 | — | — |
| Native Data Source Integrations(count) | 150+ | — | — |
| Built-in Machine Learning Algorithms(count) | 3-5 (basic anomaly detection) | — | — |
| Minimum RAM Requirement (Self-Hosted)(GB) | <2 | — | — |
| GitHub Stars(stars) | 56,000 | — | — |
| Initial Setup Time(minutes) | 15-30 | — | — |
| Enterprise License Cost (Annual)(USD) | $12,000 for Grafana Enterprise | Varies with Elasticsearch cluster size; typically $15,000+ | |
| Real-Time Dashboard Latency(milliseconds) | 50-500 | — | — |
| Monthly Cost Per Host(USD) | $0-3 (self-hosted) | — | — |
| Time to Production Deployment(minutes) | 30-240 minutes (varies) | — | — |
| Annual Cost (100 hosts, moderate usage)(USD) | $0-2,500 (self-hosted) | — | — |
| Starting Price (Monthly)(USD) | Free (open-source) | — | — |
| Data Source Connectors(count) | 400+ plugins (Prometheus, InfluxDB, CloudWatch, etc.) | — | — |
| Minimum Dashboard Refresh Rate(seconds) | 5-10 seconds (typical) | — | — |
| User Onboarding Time(days) | 7-14 days (JSON, API, plugin config) | — | — |
| Annual per-User Cost (Creator Tier)(USD) | $120-$3,588/year (Grafana Cloud) | — | — |
| Base License Cost (Annual)(USD) | $0 (open-source) | — | — |
| Typical Enterprise Implementation Cost(USD) | $10,000-$30,000 | — | — |
| Average Search Query Time (1GB dataset)(seconds) | 0.5-2 seconds | — | — |
| Built-in Machine Learning Models(count) | 3-5 (via plugins) | — | — |
| Typical Deployment Time(weeks) | 2-4 weeks | — | — |
| Data Source Support(integrations) | 80+ | Primarily 1 (Elasticsearch) | |
| Time to Deploy Dashboard(minutes) | 5-10 minutes with templates | 30-60 minutes with configuration | |
| Notification Channels(integrations) | 50+ | 25+ |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
- 80+ integrations (Prometheus, InfluxDB, Graphite, AWS CloudWatch, Elasticsearch, MySQL, PostgreSQL, etc.)(winner)Data Source SupportPrimarily Elasticsearch; limited support for other sources
- Basic text search; not optimized for log analysisFull-Text Search CapabilitiesAdvanced full-text search with Lucene syntax; built for log exploration(winner)
- Faster with pre-built templates; 5-10 minutes to deploy(winner)Dashboard Creation SpeedSlower setup; requires Elasticsearch configuration and mapping understanding
- Unified alerting across all data sources with 50+ notification channels(winner)Alert ManagementAlerting limited to Elasticsearch queries; fewer notification options
- Requires third-party plugins; no native APMAPM IntegrationNative Elastic APM integration; seamless observability stack(winner)
- Open-source (Grafana Community); Grafana Enterprise starts at $12,000/yearPricing Model (Self-Hosted)Free with Elasticsearch; premium features require Elasticsearch paid tier
- Moderate; PromQL/SQL learning required for advanced queries(winner)Learning Curve for OperatorsSteep; requires deep Elasticsearch, Lucene syntax, and mapping knowledge
- Data Source Support
Grafana
80+ integrations (Prometheus, InfluxDB, Graphite, AWS CloudWatch, Elasticsearch, MySQL, PostgreSQL, etc.)(winner)
Kibana
Primarily Elasticsearch; limited support for other sources
- Full-Text Search Capabilities
Grafana
Basic text search; not optimized for log analysis
Kibana
Advanced full-text search with Lucene syntax; built for log exploration(winner)
- Dashboard Creation Speed
Grafana
Faster with pre-built templates; 5-10 minutes to deploy(winner)
Kibana
Slower setup; requires Elasticsearch configuration and mapping understanding
- Alert Management
Grafana
Unified alerting across all data sources with 50+ notification channels(winner)
Kibana
Alerting limited to Elasticsearch queries; fewer notification options
- APM Integration
Grafana
Requires third-party plugins; no native APM
Kibana
Native Elastic APM integration; seamless observability stack(winner)
- Pricing Model (Self-Hosted)
Grafana
Open-source (Grafana Community); Grafana Enterprise starts at $12,000/year
Kibana
Free with Elasticsearch; premium features require Elasticsearch paid tier
- Learning Curve for Operators
Grafana
Moderate; PromQL/SQL learning required for advanced queries(winner)
Kibana
Steep; requires deep Elasticsearch, Lucene syntax, and mapping knowledge
Full Comparison
| Attribute | Grafana | Kibana |
|---|---|---|
| Supported Data Sources(count) | 70+ | — |
| Pre-built Integrations(count) | 300+ | — |
| Data Source Integrations(count) | 800+ | — |
| Supported Data Sources(count) | 100+(winner) | Elasticsearch/Opensearch only |
| Native Data Connectors(connectors) | 60+ | — |
Show 1 more attributeData Source Connectors(count) 400+ plugins (Prometheus, InfluxDB, CloudWatch, etc.) — | ||
| Self-Hosting Support | Yes, full support | — |
| Open-Source Self-Hosted Availability(null) | Available (Apache 2.0) | — |
| Setup Time (Basic Production)(minutes) | 15-30 minutes | — |
| Docker Deployment | Single container with optional Prometheus | — |
| Starting Monthly Cost(USD) | Free (open-source) | — |
| Base Monthly Cost Per User(USD) | $69 | — |
| Free Tier User Limit(users) | Unlimited users | — |
| Cloud Hosting Starting Price(USD/month) | $79/month(winner) | $300+/month |
| Self-Hosted Cost(USD/month) | $0 (free open-source) | $0 (Opensearch) or $15-50k (Elasticsearch) |
Show 11 more attributesStarting Monthly Cost Per User(USD) $0 (open-source) — Enterprise Annual License Cost (Single Server)(USD) $0 (self-hosted free tier) — Base Monthly Cost (Single User Cloud)(USD) $10 (Grafana Cloud Starter) — Annual Cost (1GB/day Log Ingestion)(USD) $2,400-$7,200 — Enterprise License Cost (Annual)(USD) $12,000 for Grafana Enterprise Varies with Elasticsearch cluster size; typically $15,000+ Monthly Cost Per Host(USD) $0-3 (self-hosted) — Annual Cost (100 hosts, moderate usage)(USD) $0-2,500 (self-hosted) — Starting Price (Monthly)(USD) Free (open-source) — Annual per-User Cost (Creator Tier)(USD) $120-$3,588/year (Grafana Cloud) — Base License Cost (Annual)(USD) $0 (open-source) — Typical Enterprise Implementation Cost(USD) $10,000-$30,000 — | ||
| Time to First Dashboard(minutes) | 60-120 | — |
| Typical Deployment Time(weeks) | 2-4 weeks | — |
| Log Management | Requires Loki plugin | — |
| APM Capabilities | Plugin-based with limited support | — |
| On-Call Scheduling Features(null) | Requires integration (OnCall) | — |
| Data Sources Supported(integrations) | 90+ (Prometheus, Elasticsearch, Datadog, etc.) | — |
| Built-in Alerting Capabilities(null) | Basic (via connected datasources) | — |
Show 12 more attributesAI-Powered Anomaly Detection Accuracy(percent) Not available — Alert Management Channels(count) 50+ — Log Search Capability Basic text filtering Advanced Lucene/KQL query language APM Features Limited (requires integration with APM platforms) Native APM application with service maps & traces Visualization Chart Types(count) 15+ — Native Data Source Integrations(count) 150+ — Built-in Machine Learning Algorithms(count) 3-5 (basic anomaly detection) — SQL Query Support(text) Limited—primarily Prometheus-style queries — Full-Text Log Indexing No (time-series focused) — Built-in Machine Learning Models(count) 3-5 (via plugins) — Full-Text Search Optimization Basic text filters Advanced Lucene-based search Native APM Integration No (plugin-based) Yes (Elastic APM) | ||
| Community Size(millions of users) | 500K+ users | — |
| GitHub Stars (Community Adoption)(stars) | 58,000+ (as of 2026) | — |
| Grafana/Dynatrace Community Size(thousands of members) | 500K+ monthly active users | — |
| GitHub Stars(stars) | 56,000 | — |
| Mean Time to Response (MTTR) Improvement(percent) | Not measured | — |
| Alert Fatigue Reduction(percent) | Alert grouping available | — |
| Default Data Retention(days) | None (external source dependent) | — |
| Memory Usage (Typical Instance)(MB) | 200-500 | — |
| Memory Footprint (Minimal Setup)(MB) | ~200 MB | — |
Show 7 more attributesMinimum Dashboard Refresh Interval(seconds) 0.001 seconds (milliseconds) — Log Query Response Time(milliseconds) 5,000-10,000 (Loki) — Event Ingestion Rate (Single Indexer)(events/sec) 1,000-2,000 — Real-Time Dashboard Latency(milliseconds) 50-500 — Minimum Dashboard Refresh Rate(seconds) 5-10 seconds (typical) — Average Search Query Time (1GB dataset)(seconds) 0.5-2 seconds — Time to Deploy Dashboard(minutes) 5-10 minutes with templates 30-60 minutes with configuration | ||
| Customer Retention Rate(percent) | 94% | — |
| Query Language Learning Curve(weeks) | 2-4 (depends on datasource type) | — |
| Setup Time for Basic Monitoring(days) | 2-5 days (infrastructure knowledge required) | — |
| Time to First Dashboard Creation(minutes) | 5-10 (intuitive interface) | — |
| User Onboarding Time(days) | 7-14 days (JSON, API, plugin config) | — |
| Standalone Operation | No—requires external datasource | — |
| Time to First Dashboard(hours) | 30-60 (needs datasource setup) | — |
| Base Pricing (Annual, 100 hosts)(USD) | $0 (self-hosted) | — |
| Initial Deployment Time(weeks) | 14-28 days | — |
| Required IT Staff for 10,000 hosts(FTE) | 3-5 FTE | — |
| Time to Production Deployment(minutes) | 30-240 minutes (varies) | — |
| Supported Technologies (Languages/Frameworks)(count) | 300+ via integrations | — |
| Data Source Support(integrations) | 80+(winner) | Primarily 1 (Elasticsearch) |
| Community Dashboard Templates(templates) | 2,000+(winner) | 500+ |
| Commercial Support Cost(USD/month) | $25-150+ per user | — |
| Open Source License Type | AGPL v3 (user-friendly for most use cases) | SSPL + Elastic License (restricted distribution) |
| Query Language Complexity | PromQL, SQL, or source-native language | Lucene syntax + Elasticsearch Query DSL |
| Dashboard Creation Time(minutes) | 5-10 minutes(winner) | 10-15 minutes |
| Built-in Alerting Rules(feature) | Visualization only (external routing required) | — |
| Notification Channels(integrations) | 50+(winner) | 25+ |
| Minimum Monthly Cost (Small Org)(USD) | $0 (open-source) or $9 (Grafana Cloud) | — |
| Data Source Integrations Available(count) | 450+ pre-built plugins | — |
| Supported APM Frameworks(count) | 100+ via plugins (manual integration required) | — |
| Deployment Flexibility | Self-hosted, Docker, Kubernetes, managed cloud (Grafana Cloud) | — |
| Minimum RAM Requirement (Self-Hosted)(GB) | <2 | — |
| Deployment Options(types) | Self-hosted, Docker, Kubernetes, Cloud | — |
| AI Anomaly Detection(capability) | Limited; basic alerting rules, ML via separate module | — |
| Enterprise Support SLA(uptime %) | Community support; no guaranteed SLA | — |
| Data Retention (Free Tier)(months) | Unlimited (self-hosted) or 15 days (Grafana Cloud free) | — |
| User Seats Included (Starter)(seats) | Unlimited on self-hosted; 1 on Grafana Cloud free | — |
| Maximum Dashboard Rows Per Organization(count) | Unlimited | — |
| Row-Level Security (RLS) | Supported via RBAC and data source filtering | — |
| Enterprise Security Features(count) | Basic RBAC, no SIEM module | — |
| Enterprise Compliance(certifications) | SOC 2, ISO 27001 | — |
| Initial Setup Time(minutes) | 15-30 | — |
| Built-in APM | No, requires external tools | — |
| AI/ML Analytics | No native features | — |
| Self-Hosted Deployment | Fully supported | — |
| Advanced Statistical Functions(count) | Basic math and aggregation functions | — |
GrafanaKibanaShow 1 more attribute
Show 11 more attributes
Show 12 more attributes
Show 7 more attributes
Pros & Cons
10 pros·6 cons across both
Grafana
Pros
- Supports 80+ data sources (Prometheus, InfluxDB, Graphite, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring, Elasticsearch, MySQL, PostgreSQL, MongoDB)
- Unified alerting across all data sources with 50+ notification channels (Slack, PagerDuty, Opsgenie, Teams, Discord, Telegram, Webhook)
- Fast dashboard creation with 2,000+ pre-built community templates
- Open-source Community Edition with no feature limitations for small deployments
- Strong multi-tenancy support; ideal for managed observability services
Cons
- Log analysis capabilities are basic compared to Kibana; no native full-text search optimization
- Native APM monitoring requires third-party plugin (Grafana APM still in development)
- Requires Elasticsearch plugin installation for optimal Elasticsearch queries
Kibana
Pros
- Advanced full-text search with Lucene syntax; optimized for terabytes of log data
- Native integration with Elastic APM, security, and machine learning features
- Superior log forensics with drill-down capabilities and context-rich exploration
- Canvas feature enables pixel-perfect custom visualizations and reports
- Built-in alerting and anomaly detection leveraging Elasticsearch aggregations
Cons
- Locked into Elasticsearch ecosystem; minimal support for external data sources
- Steep learning curve requiring Elasticsearch expertise, Lucene syntax knowledge, and index mapping understanding
- Higher deployment and infrastructure costs for Elasticsearch clusters compared to lightweight Prometheus
Frequently Asked Questions
5 questions
Grafana has a moderate learning curve focusing on dashboard design and PromQL (simple, SQL-like syntax). Kibana's learning curve is steep, requiring mastery of Elasticsearch internals, Lucene query syntax, index mappings, and aggregation pipelines. Expect 2-4 weeks for Grafana competency; 4-12 weeks for Kibana.
Resources & Learn More
Curated sources to dive deeper
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