VictoriaMetrics is a fast, cost-saving, and scalable solution for monitoring and managing time series data. It aims to deliver high performance and reliability.
This is free and open source software.
Key Features
- Long-term storage for Prometheus or as a drop-in replacement for Prometheus and Graphite in Grafana.
- Powerful stream aggregation: Can be used as a StatsD alternative.
- Ideal for big data: Works well with large amounts of time series data from APM, Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various Enterprise workloads.
- Query language: Supports both PromQL and the more performant MetricsQL.
- Easy to setup: No dependencies, single small binary, configuration through command-line flags, but the default is also fine-tuned; backup and restore with instant snapshots.
- Global query view: Multiple Prometheus instances or any other data sources may ingest data into VictoriaMetrics and queried via a single query.
- Various Protocols: Support metric scraping, ingestion and backfilling in various protocol.
- Prometheus exporters, Prometheus remote write API, Prometheus exposition format.
- InfluxDB line protocol over HTTP, TCP and UDP.
- Graphite plaintext protocol with tags.
- OpenTSDB put message.
- HTTP OpenTSDB /api/put requests.
- JSON line format.
- Arbitrary CSV data.
- Native binary format.
- DataDog agent or DogStatsD.
- NewRelic infrastructure agent.
- OpenTelemetry metrics format.
- NFS-based storages: Supports storing data on NFS-based storages such as Amazon EFS, Google Filestore.
- And many other features such as metrics relabeling, cardinality limiter, etc.
Website: github.com/VictoriaMetrics/VictoriaMetrics
Support:
Developer: VictoriaMetrics
License: Apache License 2.0
VictoriaMetrics is written in Go. Learn Go with our recommended free books and free tutorials.
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Read our verdict in the software roundup.
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