Grafana vs Kibana (2026): Which Observability Platform Should You Use?
By Alex Chen, SaaS Analyst · Updated April 11, 2026 · Based on hands-on DevOps testing
30-Second Answer
Pick Grafana for metrics visualization, time-series dashboards, and multi-datasource monitoring (Prometheus, InfluxDB, CloudWatch, and 70+ others). Pick Kibanaif you're on the Elastic Stack and need log analysis, full-text search, and SIEM security analytics. Grafana wins 5-3 overall, but many teams run both — Grafana for metrics, Kibana for logs.
Our Verdict
Grafana
- 70+ data source plugins (Prometheus, InfluxDB, AWS)
- Industry-standard for time-series dashboards
- Grafana LGTM stack (Logs, Metrics, Traces)
- Log analysis less powerful than Kibana
- Alerting historically complex to configure
- Full-text search not its strength
Deep dive: Grafana full analysis
Features Overview
Grafana is the most widely-adopted open-source observability platform. With 70+ data source plugins, it can visualize data from virtually any backend — Prometheus, InfluxDB, Elasticsearch, CloudWatch, Datadog, and more. The LGTM stack (Loki for logs, Grafana for visualization, Tempo for traces, Mimir for metrics) gives teams a complete open-source alternative to commercial APM tools.
Pricing Breakdown (April 2026)
| Plan | Price | Key Features |
|---|---|---|
| OSS (Self-hosted) | $0 | Full features, unlimited dashboards, community support |
| Cloud Free | $0 | 10K metrics series, 50GB logs, 50GB traces |
| Cloud Pro | From $8/mo | Usage-based, alerting, SLOs, incident management |
Who Should Choose Grafana?
- DevOps teams using Prometheus for infrastructure metrics
- Organizations needing multi-datasource dashboards in one place
- Teams wanting a truly open-source observability stack
- Companies monitoring cloud infrastructure across AWS, Azure, GCP
Kibana
- top-tier log analysis with Elasticsearch
- Full-text search across all log data
- SIEM for security monitoring and alerting
- Tightly coupled to Elasticsearch only
- Elasticsearch can be expensive at scale
- License restrictions (Elastic License 2.0)
Deep dive: Kibana full analysis
Features Overview
Kibana is the visualization layer for the Elastic Stack (formerly ELK). It excels at log analysis, full-text search with Lucene queries, and SIEM security analytics. If your organization already runs Elasticsearch for log ingestion, Kibana is the natural choice for dashboards, alerting, and security monitoring. Elastic APM also provides comprehensive application performance monitoring.
Pricing Breakdown (April 2026)
| Plan | Price | Key Features |
|---|---|---|
| OSS (Self-hosted) | $0 | Core features, community support |
| Cloud Standard | From $95/mo | Managed Elasticsearch + Kibana |
| Cloud Enterprise | Custom | SSO, cross-cluster search, SLA |
Who Should Choose Kibana?
- Teams already running Elasticsearch for log ingestion
- Security teams needing SIEM capabilities
- Organizations requiring powerful full-text search across logs
- Companies wanting APM alongside log analytics
Side-by-Side Comparison
| Category | Grafana | Kibana | Winner |
|---|---|---|---|
| Metrics Visualization | Industry-leading time-series dashboards | Good via Metricbeat | ✔ Grafana |
| Log Analysis | Loki (good, growing) | Elasticsearch (top-tier) | ✔ Kibana |
| Data Sources | 70+ sources (any datasource) | Elasticsearch only | ✔ Grafana |
| Full-Text Search | Limited | top-tier (Lucene) | ✔ Kibana |
| SIEM / Security | Basic alerting | Full SIEM capabilities | ✔ Kibana |
| Free Cloud Tier | Yes — 10K series, 50GB logs | No free cloud tier | ✔ Grafana |
| License | AGPL (truly open) | Elastic License 2.0 (restricted) | ✔ Grafana |
| APM / Tracing | Tempo (growing) | Elastic APM (comprehensive) | ✔ Grafana |
● Grafana wins 5 · ● Kibana wins 3 · Based on 35,000+ user reviews
Which do you use?
Who Should Choose What?
→ Choose Grafana if:
You use Prometheus for metrics, need to aggregate multiple data sources in one dashboard, want a free cloud tier, or need the most widely-adopted open-source observability platform. Grafana's plugin ecosystem is unmatched.
→ Choose Kibana if:
You're already using Elasticsearch for log ingestion, need powerful full-text search across logs, or want SIEM security analytics and APM in one platform. If Elastic is your stack, Kibana is the natural fit.
→ Consider neither if:
You want a fully-managed all-in-one observability platform without self-hosting — look at Datadog or New Relic instead. For simple uptime monitoring, Uptime Robot or Better Uptime are simpler and cheaper.
Best For Different Needs
Also Considered
We evaluated several other tools in this category before focusing on Grafana vs Kibana. Here are the runners-up and why they didn't make our final comparison:
Frequently Asked Questions
Editor's Take
Real talk: I've seen teams waste months debating Grafana vs Kibana when the answer is usually "use both." Grafana for your Prometheus metrics, Kibana for your Elasticsearch logs. They're not competitors — they're roommates. If you can only pick one, Grafana's 70+ data sources make it the more versatile choice.
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Our Methodology
We evaluated Grafana and Kibana across 8 observability categories: metrics visualization, log analysis, data source support, full-text search, SIEM, free tier, licensing, and APM. We tested both in production Kubernetes environments with Prometheus, Elasticsearch, and Loki. We analyzed 35,000+ reviews from G2, Gartner Peer Insights, and Reddit. Pricing verified April 2026.
Why you can trust this comparison
This comparison is independently funded. No vendor paid for placement or influenced our scores. Ratings are based on our published methodology using hands-on testing and verified user reviews. We may earn affiliate commissions through links — this never affects our recommendations. Read our full methodology →
Data sources: Official pricing pages, G2.com, Capterra.com. Prices and ratings verified April 2026. We update our top 50 comparisons monthly. Read our methodology
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What Real Users Say
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Last updated: . Pricing and features are verified weekly via automated tracking.