VictoriaMetrics Open Source is a scalable, cost-efficient time series database and monitoring platform designed for storing, ingesting, and querying massive volumes of metrics. It offers operational simplicity, high ingestion rates, and fast queries, making it suitable for modern observability and monitoring needs in cloud-native and on-premise environments.

Key Features

Outstanding Data Compression Efficiently stores more metrics in less disk space.

• 10x more data storage per disk compared to alternatives.
• Reduces storage costs for large-scale monitoring.

Operational Simplicity Minimal dependencies and easy deployment.

• Single binary for quick setup.
• Kubernetes operator for cluster management.
• Pre-configured alerts and Grafana dashboards included.

High-Speed Data Ingestion Handles very high metric throughput.

• Millions of metrics per second on a single instance.
• Hundreds of millions per second in cluster mode.
• Linear vertical and horizontal scalability.

Low-Latency Querying Fast analytics on large datasets.

• Utilizes all CPU cores for parallel processing.
• Supports billions of rows per second for queries.

Protocol Compatibility Broad support for ingestion and export.

• Compatible with Prometheus, Graphite, OpenTSDB, InfluxDB, CSV.
• Supports both push and pull models.

Prometheus Remote Storage Optimized for long-term Prometheus data retention.

• Compact format for storing Prometheus metrics.
• Seamless integration as remote storage.

Benefits

Cost Efficiency Reduces infrastructure and operational costs.

• Lower storage and memory requirements.
• Efficient use of compute and disk resources.

Scalability and Flexibility Grows with your monitoring needs.

• Supports both single-node and clustered deployments.
• Easily scales horizontally and vertically.

Ease of Use Simplifies monitoring infrastructure management.

• No extra dependencies.
• Out-of-the-box defaults and integrations.