Offload non-trivial operational tasks for metrics storage such as replication, backup and seamless scalability to VictoriaMetrics. Just change a single line in Prometheus config
Query all the metrics your Prometheus instances collect via a single Prometheus-compatible datasource
Fast query engine. It excels on heavy queries over thousands of metrics with millions of metric values
VictoriaMetrics supports native PromQL. There is no need in learning yet another query language
VictoriaMetrics supports wide range of retention periods - from 1 month to 5 years
Improve and simplify your queries by using WITH templates and extended PromQL
See how VictoriaMetrics performs comparing to TimescaleDB and InfluxDB.
The tests were made via Time Series Benchmark Suite (TSBS) with following dataset: 4,000 simulated devices generated 10 CPU metrics every 10 seconds for 3 days (~100M reading intervals, ~1B metrics).
The benchmark was run in Google Compute Engine on two n1-standard-8 instances with 8 virtual CPUs, 30GB RAM and 200GB HDD.
When size matters High-cardinality
Grafana playground uses Prometheus-compatible datasource for VictoriaMetrics. The datasource supports native PromQL plus extended PromQL. Explore dasboards and try editing queries
Grafana playgroundFeel the power of CTE for PromQL at `WITH` playground
WITH playgroundTry free single-server VictoriaMetrics
Precompiled binaries Docker images