VictoriaMetrics
Simple & Reliable Monitoring for Everyone
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
- Active development with regular updates and strong community support
Cons
- Steep learning curve for advanced features and cluster configuration
- Smaller ecosystem and community compared to Prometheus
- Enterprise features like downsampling and anomaly detection require paid license
- Limited documentation for complex deployment scenarios
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.
VictoriaLogs & VictoriaTraces
Extends beyond metrics with dedicated log and distributed tracing storage components for full-stack observability.
Downsampling & Multiple Retentions
Enterprise feature that reduces storage costs by downsampling historical data and configuring different retention periods for different datasets.
Kubernetes Native
Deep Kubernetes integration with Helm charts, operator support, and VLAgent daemonset mode for direct node-level log ingestion.
Long-Term Storage
Serves as a long-term remote storage backend for Prometheus, enabling indefinite metric retention with minimal resource usage.
Pricing
- All core VictoriaMetrics features
- Single-node and cluster modes
- PromQL and MetricsQL support
- Grafana integration
- Multi-protocol ingestion
- Community support
- All Community features
- Long-term support (LTS) releases
- Downsampling for historical data
- Multiple retention policies
- Anomaly detection
- Enterprise support (Silver/Gold/Platinum tiers)
- Fully managed VictoriaMetrics
- No charges for samples or cardinality
- Free ingress traffic
- Pay for compute, storage, and egress only
- Silver support included
- AWS and multi-cloud deployment options
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.
Cost-Effective Cloud Monitoring
Reduce monitoring infrastructure costs by up to 10x compared to solutions like InfluxDB or managed Prometheus services, as proven by enterprises like Wix and adidas.
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Featured In
7 Best Open-Source Monitoring & Observability Stacks (2026)
Best Prometheus replacement for teams that need lower resource usage, longer-term metrics retention, and horizontal scaling without changing their existing dashboards
7 Best Time Series Databases for IoT & Monitoring (2026)
Best Prometheus replacement for monitoring teams that need long-term storage, better compression, and horizontal scaling. The most resource-efficient TSDB on this list.
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