Prometheus vs Grafana comparison. Understanding the difference between metrics collection and data visualization. How they work together and when to use each.
Prometheus and Grafana serve different purposes — Prometheus collects and stores metrics, Grafana visualizes them. Most production setups use both together as the industry-standard monitoring stack.
| Feature | Prometheus | Grafana |
|---|---|---|
| Purpose | Data collection | Data visualization |
| Time Series Database | ✓ | Via plugins |
| Alerting | ✓ | ✓ |
| Dashboards | Basic | Advanced |
| Data Sources | Pull-based | Prometheus + 50+ |
| Query Language | PromQL | SQL-like |
| Service Discovery | ✓ | ✗ |
| Exporters | 1,000+ | N/A |
| Annotations | ✗ | ✓ |
| Team Collaboration | ✗ | ✓ |
Winner: tie — This is not a competition — Prometheus collects metrics, Grafana visualizes them. Use both together. Prometheus scrapes and stores data, Grafana connects to Prometheus and creates dashboards. This is the industry-standard monitoring stack.
Both. Prometheus collects and stores metrics, Grafana visualizes them. They are complementary, not competing tools. The standard stack is Prometheus + Grafana.
Grafana can connect to many data sources (InfluxDB, Graphite, Loki, etc.) but doesn't collect metrics itself. It needs a data source.
Loki (from Grafana Labs) handles logs the way Prometheus handles metrics. The full stack is Prometheus (metrics) + Loki (logs) + Grafana (visualization).
Yes. Datadog, New Relic, and Netdata offer all-in-one monitoring. But they're either expensive or limited compared to the Prometheus + Grafana stack.