# VictoriaMetrics/VictoriaMetrics

VictoriaMetrics: fast, cost-effective monitoring solution and time series database

Repository: https://github.com/VictoriaMetrics/VictoriaMetrics
Canonical: https://ross.abutalabs.com/products/victoriametrics
Homepage: https://victoriametrics.com/
Language: Go
License: Apache-2.0
License Family: permissive
Topics: tsdb, prometheus, promql, influxdb, graphite, opentsdb, database, thanos, observability, monitoring, kubernetes, grafana, opentelemetry
Last push: 2026-08-26T22:26:24+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 100
- inputs: {"age_days": 2894, "days_push": 7, "days_rel": 16, "gap_med": 0, "n_releases_24m": 214}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 17597, forks 1723 (observed 2026-08-28T04:11:20.050217+00:00)

## What it is
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
- artifact type: service
- maturity: stable
- function: database, monitoring, search-engine, api-framework, self-hosted
- domain: monitoring, databases, time-series, cloud-computing
- platform: windows, self-hosted, go, cross-platform
- tags: 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
- VictoriaMetrics/VictoriaMetrics (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:20.050217+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:02:36.264340+00:00, confidence not recorded.
  - readme: https://github.com/VictoriaMetrics/VictoriaMetrics (fetched 2026-08-28T04:11:20.050217+00:00, sha f31f33fce5db)
  - homepage: https://victoriametrics.com/ (fetched 2026-08-29T08:00:56.192802+00:00, sha ae699d3ad6ad)
  - site_page: https://docs.victoriametrics.com/ (fetched 2026-08-29T08:00:56.196188+00:00, sha 9df70ffabd48)
  - site_page: https://victoriametrics.com/plans-features (fetched 2026-08-29T08:00:56.198853+00:00, sha ea92cf1469bb)
  - site_page: https://victoriametrics.com/about-us (fetched 2026-08-29T08:00:56.202147+00:00, sha 2858eaf128c1)
- Data as of 2026-08-30T08:39:29.467469+00:00.