Grafana
MonitoringOpen-source analytics and visualization
Grafana is the only truly open-source, data-source-agnostic visualization platform that lets you build unified monitoring dashboards across any combination of metrics, logs, and traces backends without vendor lock-in.
Grafana is the open-source standard for data visualization and monitoring dashboards. It connects to virtually any data source and creates beautiful, interactive dashboards for infrastructure and application monitoring.
Reviewed by the AI Tools Hub editorial team · Last updated February 2026
Grafana — In-Depth Review
Grafana is an open-source analytics and interactive visualization platform that has become the de facto standard for monitoring dashboards in the DevOps and infrastructure world. Founded in 2014 by Torkel Odegaard as a fork of Kibana, Grafana Labs (the commercial company behind Grafana) has raised over $450 million in funding and serves organizations ranging from individual developers to enterprises like Bloomberg, PayPal, and JPMorgan. Unlike proprietary monitoring tools that lock you into their data storage, Grafana is data-source agnostic — it connects to over 150 data sources and lets you build unified dashboards regardless of where your metrics, logs, and traces live.
Data Source Flexibility
Grafana's core architectural principle is separation of visualization from storage. It natively supports Prometheus, InfluxDB, Elasticsearch, PostgreSQL, MySQL, Loki (logs), Tempo (traces), Mimir (metrics), CloudWatch, Azure Monitor, Google Cloud Monitoring, and dozens more. This means you can build a single dashboard that pulls CPU metrics from Prometheus, business KPIs from PostgreSQL, and cloud costs from CloudWatch — something proprietary tools cannot do without data migration. Mixed-source panels let you overlay data from different backends on the same graph, enabling correlations that would otherwise require switching between tools.
Dashboard Building and Visualization
Grafana's dashboard editor supports a wide range of visualization types: time series graphs, heatmaps, gauges, bar charts, stat panels, tables, geo maps, candlestick charts, and more. Template variables let you create reusable dashboards that filter by environment, region, or service with dropdown selectors. Dashboard annotations overlay events (deployments, incidents) on time series graphs, providing visual correlation between changes and metric shifts. The community has contributed thousands of pre-built dashboards on grafana.com/dashboards, covering everything from Kubernetes monitoring to home automation sensor data.
Grafana Stack: Loki, Tempo, and Mimir
Grafana Labs has built a complete open-source observability stack around Grafana. Loki is a log aggregation system inspired by Prometheus that indexes metadata rather than full log content, making it significantly cheaper to operate than Elasticsearch at scale. Tempo is a distributed tracing backend that stores traces at massive scale with minimal dependencies. Mimir is a horizontally scalable, long-term metrics storage backend for Prometheus. Together, these form the "LGTM stack" (Loki, Grafana, Tempo, Mimir) — a fully open-source alternative to commercial observability platforms like Datadog, with no vendor lock-in and full control over data storage.
Alerting and Incident Management
Grafana Alerting (unified since Grafana 9) supports multi-dimensional alert rules that evaluate queries across any connected data source. Alerts can route to Slack, PagerDuty, OpsGenie, email, webhooks, and other notification channels with configurable routing trees based on labels. Grafana OnCall (also open-source) adds on-call scheduling, escalation policies, and incident management directly within Grafana, reducing the need for separate incident management tools.
Grafana Cloud: Managed Offering
Grafana Cloud provides a fully managed version of the Grafana stack with a free tier that includes 10,000 metrics series, 50GB logs, 50GB traces, 500 VUh (Virtual User hours) for load testing, and 3 active users. Paid plans start at $29/month (Pro) and scale based on usage. Grafana Cloud handles upgrades, scaling, and storage, while maintaining compatibility with the open-source self-hosted version. For organizations that want the Grafana ecosystem without the operational overhead of running Prometheus, Loki, and Tempo, Grafana Cloud is an attractive middle ground between fully self-managed and proprietary SaaS.
Pros & Cons
Pros
- ✓ Truly open-source with no feature gating — the self-hosted version is fully functional without license restrictions
- ✓ Data-source agnostic with 150+ connectors, enabling unified dashboards across Prometheus, SQL databases, cloud providers, and more
- ✓ The LGTM stack (Loki, Grafana, Tempo, Mimir) provides a complete open-source observability platform with no vendor lock-in
- ✓ Massive community with thousands of pre-built dashboards and plugins shared on the Grafana marketplace
- ✓ Grafana Cloud's free tier is generous enough for small teams and personal projects to run production monitoring
- ✓ Highly customizable with plugins, panel types, and theming — dashboards can be tailored to any use case from DevOps to business analytics
Cons
- ✗ Self-hosting the full LGTM stack requires significant operational expertise — Prometheus, Loki, and Mimir each have their own complexity
- ✗ Grafana is a visualization layer, not a data platform — you still need to choose, deploy, and manage your data sources separately
- ✗ The dashboard editor has a learning curve: building effective dashboards with PromQL or LogQL requires understanding query languages
- ✗ Alerting was rebuilt in Grafana 9 and still has rough edges compared to dedicated alerting tools like PagerDuty
- ✗ Out-of-the-box experience is minimal — unlike Datadog, Grafana does not auto-discover services or provide turnkey dashboards without setup
Key Features
Use Cases
Infrastructure and Kubernetes Monitoring with Prometheus
Platform engineering teams deploy Prometheus to scrape metrics from Kubernetes clusters and use Grafana to visualize cluster health, pod resource utilization, and application performance. Pre-built community dashboards for Kubernetes provide instant visibility, and custom dashboards track team-specific SLIs and SLOs.
Multi-Cloud Unified Observability
Organizations running workloads across AWS, Azure, and GCP use Grafana to create unified dashboards that pull metrics from CloudWatch, Azure Monitor, and Google Cloud Monitoring simultaneously. This eliminates the need to switch between cloud provider consoles and provides a single view of multi-cloud infrastructure.
Business Metrics and KPI Dashboards
Product and business teams connect Grafana to PostgreSQL or MySQL databases to build real-time dashboards tracking revenue, user signups, conversion rates, and other business KPIs. Grafana serves as a free alternative to Looker or Tableau for teams that need live dashboards without the cost of BI tools.
IoT and Home Lab Monitoring
Hobbyists and IoT engineers use Grafana with InfluxDB or Prometheus to monitor sensor data from home automation systems, weather stations, solar panels, and network equipment. The active open-source community has created plugins and dashboards for virtually every home monitoring scenario.
Integrations
Pricing
Free (OSS) / $29/mo Cloud
Grafana offers a free plan. Paid plans unlock additional features and higher limits.
Best For
Frequently Asked Questions
Is Grafana free to use in production?
Yes. Grafana OSS (open-source) is completely free with no usage limits, user limits, or feature restrictions. You can self-host it for production monitoring at any scale. Grafana Cloud also offers a free tier with 10,000 metrics series and 50GB logs per month. The only cost for self-hosting is the infrastructure to run Grafana and your chosen data sources (Prometheus, Loki, etc.).
How does Grafana compare to Datadog?
Grafana is open-source and data-source agnostic — you bring your own data backends. Datadog is a proprietary, fully managed SaaS with integrated data storage. Grafana is significantly cheaper (free for self-hosted) but requires more operational effort. Datadog provides a turnkey experience with auto-discovery, 750+ integrations, and bundled storage. Choose Grafana for cost control and flexibility; choose Datadog for convenience and less operational overhead.
Do I need Prometheus to use Grafana?
No. While Prometheus is the most popular data source for Grafana, it supports over 150 data sources including InfluxDB, Elasticsearch, PostgreSQL, MySQL, CloudWatch, and many more. You can use Grafana with any combination of data sources. Many teams start with Grafana connected to a SQL database for business metrics and add Prometheus later for infrastructure monitoring.
What is the LGTM stack?
LGTM stands for Loki (logs), Grafana (visualization), Tempo (traces), and Mimir (metrics). It is a fully open-source observability stack built by Grafana Labs that provides an alternative to proprietary platforms like Datadog or New Relic. Each component is designed to be horizontally scalable and cost-efficient, and they integrate seamlessly with Grafana dashboards for unified visualization.
Should I self-host Grafana or use Grafana Cloud?
Self-host if you have the DevOps capacity, need full data control, or want to avoid recurring SaaS costs. Use Grafana Cloud if you want managed upgrades, scaling, and storage without operational overhead. Many teams start with Grafana Cloud's free tier and migrate to self-hosted when they outgrow it or need more control. Grafana Cloud is also a good choice for teams that want managed Loki and Tempo without running those backends themselves.
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