Time-series databases · Cloud Native Computing Foundation

Prometheus

Open-source monitoring system with a built-in time-series database, the de facto standard for Kubernetes and infrastructure metrics.

Prometheus is an open-source monitoring and alerting system, not a general-purpose analytics database: it periodically scrapes numeric metrics from applications and infrastructure, stores them in its own built-in time-series database, and evaluates alerting rules against them using its query language, PromQL. It became the default metrics standard for Kubernetes and cloud-native environments, and most application frameworks and infrastructure tools expose a Prometheus-compatible metrics endpoint. Prometheus is designed for short-to-medium retention and operational alerting rather than long-term analytical storage or high cardinality at scale, which is why it is almost always paired with Grafana for visualization and, for longer retention or higher cardinality, with a remote-write-compatible backend such as VictoriaMetrics, Thanos or Cortex. It is self-hosted, single-binary by default, and governed as a graduated project of the Cloud Native Computing Foundation with no official managed cloud offering of its own.

At a glance

Vendor Cloud Native Computing Foundation
Pricing model Open source + paid options
Free tier Yes
Deployment Self-hosted
Open source Yes (Apache-2.0)
Best for Platform and SRE teams monitoring infrastructure and Kubernetes workloads, usually paired with Grafana for dashboards.

Pricing

Free and open source under the Cloud Native Computing Foundation; no first-party managed cloud version exists.

Pricing has not been verified yet — see the vendor's site.

Features

  • Pull-based metrics scraping
  • Built-in time-series storage engine
  • PromQL query and alerting language
  • Service discovery for dynamic infrastructure
  • Alertmanager for routing and deduplicating alerts
  • Remote-write support to long-term storage backends

Integrations

Profile last reviewed September 21, 2026

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