Open source time series database
and long-term remote storage
for Prometheus

start storing and analyzing your metrics

in the most efficient way

Case Studies Docs Downloads Sources


Easy to use

VictoriaMetrics is easy to setup and operate - just add a few lines to Prometheus config. Read more

Global query view

Query all the metrics your Prometheus instances collect via a single Prometheus-compatible datasource. Read more

Low resource usage

VictoriaMetrics is optimized for speed and low resource usage. It requires less RAM, CPU, disk and network resources comparing to competitors. Read more

PromQL support

VictoriaMetrics supports PromQL. There is no need in learning yet another query language. Read more

Long Term Storage

VictoriaMetrics supports a wide range of retention periods starting from 1 month. It compresses on-disk data better than competitors, so it may handle longer retentions without downsampling. Read more


Improve and simplify your queries by using WITH templates and MetricsQL functions




Measuring vertical scalability for TimescaleDB and InfluxDB in Google Cloud


High cardinality time series

High-cardinality TSDB benchmarks: VictoriaMetrics vs TimescaleDB vs InfluxDB


Ingestion performance

Ingestion benchmarks with inch: InfluxDB vs VictoriaMetrics



When size matters — benchmarking VictoriaMetrics vs Timescale and InfluxDB

ingestion chart
query chart

Start working with VictoriaMetrics

Grafana image

Grafana playground

Grafana playground uses Prometheus-compatible datasource for VictoriaMetrics. The datasource supports native PromQL plus PromQL extensions. Explore dashboards and try editing queries

Grafana playground
CTE image

Simplify complex PromQL with CTE

Feel the power of CTE for PromQL at `WITH templates` playground

WITH templates playground

Single-node version

Try single-node version of VictoriaMetrics

Docs Downloads

Cluster version

Try cluster version of VictoriaMetrics

Docs Downloads