VictoriaMetrics

Definition

VictoriaMetrics is an open source, high-performance time series database and monitoring solution designed as a fast, cost-efficient, Prometheus-compatible alternative for storing and querying metrics at scale.

Overview

VictoriaMetrics was built to address the same scaling challenges that projects like Thanos and Cortex (monitoring) target, but with an emphasis on raw performance and operational simplicity. It's a time-series database purpose-built for metrics, offering both a single-node version for smaller deployments and a horizontally scalable cluster version for large, multi-tenant environments. A key selling point is its compatibility layer: VictoriaMetrics can ingest data via the Prometheus remote-write protocol and supports PromQL-compatible querying (along with its own extended query language, MetricsQL), so it can often be dropped in as a storage backend for existing Prometheus and Grafana setups with minimal changes to dashboards and alerting rules. It's frequently benchmarked and marketed on storage efficiency and query speed compared to alternatives. VictoriaMetrics is open source, with a commercial entity offering enterprise features, managed hosting, and support. It's commonly chosen by teams that have outgrown single-node Prometheus and want a simpler operational model than running a full Cortex or Thanos deployment, while still keeping the broader Prometheus/Grafana ecosystem intact for dashboards and alerting.

Key Features

• High-performance time series storage with strong compression and query speed
• Prometheus remote-write compatibility for easy ingestion from existing setups
• PromQL-compatible querying plus an extended MetricsQL language
• Both single-node and horizontally scalable cluster deployment options
• Lower resource usage compared to many alternative long-term Prometheus storage solutions
• Open source core with an optional commercial enterprise offering

Use Cases

Frequently Asked Questions

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