VictoriaMetrics/VictoriaMetrics

Health v2 · maintenance only

Adoption not part of the score

17597 stars · 1723 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

VictoriaMetrics is a fast, cost-effective, and scalable open-source time series database and monitoring solution written in Go. It supports single-node and cluster deployments and is compatible with Prometheus, InfluxDB, Graphite, OpenTSDB, and OpenTelemetry data ingestion.

Use cases

• store and query metrics from prometheus
• long-term storage for prometheus remote write
• replace influxdb for time series data
• monitor kubernetes clusters at scale
• ingest opentelemetry metrics
• query metrics with promql and metricsql
• reduce storage costs for monitoring data
• self-hosted metrics database for grafana dashboards

When to choose

• you need high-performance, cost-efficient storage of large volumes of time series data
• you want a drop-in Prometheus-compatible backend with PromQL/MetricsQL support
• you need horizontal scalability via a clustered deployment
• you want to consolidate ingestion from Prometheus, InfluxDB, Graphite, OpenTSDB, and OpenTelemetry

When to avoid

• you need a general-purpose relational or document database
• you only need a tiny metrics setup where a simple Prometheus instance suffices
• you need built-in log or trace storage (use VictoriaLogs/VictoriaTraces instead)

Facets

service · maturity stable

database monitoring search-engine api-framework self-hosted monitoring databases time-series cloud-computing windows self-hosted go cross-platform time-series-database tsdb prometheus-compatible promql metricsql opentelemetry influxdb graphite opentsdb grafana long-term-storage high-performance devops linux macos docker kubernetes

Member repositories

For agents

markdown · JSON · MCP: product_card(name="VictoriaMetrics/VictoriaMetrics")