VictoriaMetrics
Simple & Reliable Monitoring for Everyone
Founded
2018
Starting Price
0
Category
Developer Tools
Last updated March 12, 2026
About VictoriaMetrics
VictoriaMetrics is a fast, cost-effective open-source time series database and monitoring solution designed for high-volume metrics storage and observability. It serves as a drop-in replacement for Prometheus with up to 10x better compression, minimal memory footprint, and seamless Grafana integration, making it ideal for infrastructure monitoring, IoT, and enterprise workloads.
Pros & Cons
Pros
- Exceptional performance handling millions of metrics per second with minimal resource usage
- 10x better data compression than Prometheus, significantly reducing storage costs
- Easy setup and migration with PromQL compatibility and Grafana drop-in replacement
- Generous free open-source edition with all core features included
- Up to 7x less RAM usage compared to Prometheus, Thanos, or Cortex
Key Features
High-Performance Time Series Database
Stores millions of data points per second on a single instance with outstanding compression that uses 10x less disk space than competing solutions.
PromQL & MetricsQL Support
Fully compatible with PromQL and extends it with MetricsQL, providing powerful query capabilities and easy migration from Prometheus.
Grafana Integration
Works as a drop-in replacement for Prometheus and Graphite in Grafana dashboards with native data source support.
Anomaly Detection
AI-powered anomaly detection component that identifies irregularities in metrics data, handling seasonality, trends, and other unique data characteristics.
Horizontal & Vertical Scaling
Scales from a single-node deployment to a clustered architecture spanning multiple data centers for high-load monitoring systems.
Multi-Protocol Ingestion
Supports ingestion via Prometheus, InfluxDB line protocol, OpenTelemetry, Graphite, DataDog, and other common time series protocols.
Pricing
Community (Open Source)
0/month
- All core VictoriaMetrics features
- Single-node and cluster modes
- PromQL and MetricsQL support
- Grafana integration
- Multi-protocol ingestion
Best For
Infrastructure Monitoring at Scale
Monitor thousands of servers, containers, and cloud resources with millions of metrics per second while keeping costs low through superior compression.
Kubernetes Observability
Native Kubernetes integration for monitoring clusters, pods, and services with built-in Helm charts, operator support, and node-level log ingestion.
IoT & Industrial Telemetry
Collect and store massive volumes of time series data from IoT sensors, automotive vehicles, and industrial equipment with minimal compute resources.
Long-Term Metrics Retention
Replace or extend Prometheus as a long-term storage backend, retaining historical metrics indefinitely with configurable downsampling and retention policies.
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