VictoriaMetrics

Founded by Roman Khavronenko in 2019

Store and query time series metrics data at massive scale

Cost

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use VictoriaMetrics to store, query, and monitor time series data from infrastructure, applications, and IoT devices. It works as a drop-in replacement for Prometheus with better performance and lower storage costs. You can run it on a single node or as a distributed cluster, use it for logs and traces alongside metrics, and connect it to Grafana or any Prometheus-compatible tool. It also offers a managed cloud version and an enterprise tier with support.

What VictoriaMetrics does

Ingest time series metrics from Prometheus scrapers or OpenTelemetry collectorsQuery stored metrics using MetricsQL or PromQLSet up alerting rules on metric thresholdsConfigure long-term data retention with downsamplingDeploy as a single binary or distributed clusterStore and search logs using LogsQLDetect anomalies in metrics using built-in AI detectionConnect to Grafana dashboards for visualizationDrop-in replacement for Prometheus with full PromQL compatibilityHandles millions of metrics per second on modest hardwareStores metrics with significantly less disk space than Prometheus or InfluxDBSingle-node and distributed cluster modes for any scaleIncludes logs database (VictoriaLogs) and distributed tracing (VictoriaTraces)AI-based anomaly detection on top of stored metricsOpenTelemetry-compatible for modern observability pipelinesLong-term metrics retention with downsampling support in Enterprise