VictoriaMetrics
High-performance time series database for monitoring and observability
VictoriaMetrics is a high-performance time series database designed for monitoring and observability workloads. It can act as long-term storage for Prometheus and integrates well with common metrics ecosystems such as Grafana.
Key Features
- Single-node and clustered deployment options
- Prometheus-compatible ingestion (including remote write) and querying, with support for PromQL and MetricsQL
- Multi-protocol ingestion support, including Graphite, InfluxDB line protocol, OpenTSDB, CSV, and JSON line formats
- High ingestion throughput and efficient storage compression for large cardinality metrics
- Stream aggregation for transforming and aggregating incoming metrics
- Built-in features for operational safety such as relabeling and cardinality limiting
Use Cases
- Cost-effective long-term storage backend for Prometheus metrics
- Centralized metrics ingestion from many sources (Kubernetes, IoT, APM) with unified querying
- High-volume telemetry storage and analytics where resource efficiency is critical
VictoriaMetrics is well-suited for teams that need a Prometheus-compatible TSDB with strong performance characteristics, flexible ingestion options, and scalable deployment models.
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Tech Stack:
Go
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