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victoria-metrics

VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database.

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VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. TLDR: It is a faster, more lightweight replacement to InfluxDB/TimescaleDB/etc (up to 20x faster data digestion, up to 7-10x less ram usage). Can be used in place of InfluxDB in many apps such as HomeAssistant. Includes a great web UI for query exploration. For HomeAssistant: drop in replacement for InfluxDB, see https://community.home-assistant.io/t/influxdb-vs-victoriametrics/453361 Git repository: https://github.com/VictoriaMetrics/VictoriaMetrics Dockerhub: https://hub.docker.com/r/victoriametrics/victoria-metrics Website: https://victoriametrics.com VictoriaMetrics prominent features: - Long-term storage for Prometheus. - Drop-in replacement for Prometheus and Graphite in Grafana. - Easy setup and operation with a single executable and configuration via command-line flags. - Fast

Platform availability

Available on 3 of 9 platforms

  • Unraid
  • TrueNAS
  • Umbrel (not listed)
  • ZimaOS (not listed)
  • Proxmox
  • Helm (not listed)
  • Mac (not listed)
  • Windows (not listed)
  • Linux (not listed)

Health score?A 0-100 score computed nightly from four factors: maintained (40%: recent commits and steady activity), popular (25%: GitHub stars, log scale), easy to install (20%: platforms, install notes, setup guides, Docker image) and light to run (15%: minimum RAM, ARM support). When the source code has been checked, a fifth factor, security check (20%: automated scan for committed secrets, unsafe desktop-app settings, known-vulnerable dependencies and project hygiene; any serious finding caps it at 20), is added. Factors without data are left out and the rest are rescaled.

51/100 Fair

Maintained
No data
Popular
No data
Easy to install
302 install platforms, Docker image
Light to run
801 GB minimum RAM, runs on ARM

Based on 2 of 4 factors.

Availability: platform listings confirmed today, links checked 14 days ago

No GitHub repository data collected yet.

Resources & Compatibility

Minimum requirements: 1 GB RAM, 2 CPU core(s), 10 GB disk. ARM (e.g. Raspberry Pi) is supported.

Checked 14 days ago - source: Docker Hub image tags and published docs

First-install notes

No first-install notes yet.

Alternatives (9)

  • Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications running on AWS.
  • Better Stack - AI-driven monitoring platform providing incident management, real-time logs, uptime, traces, error tracking, infrastructure analytics, and…
  • Datadog - Datadog Agent is an on-host monitoring agent that collects metrics, logs, and traces from hosts, containers, and Kubernetes clusters and se…
  • Nagios - Nagios is an open-source monitoring system that checks hosts, network services, and IT infrastructure resources so IT administrators can id…
  • Netdata - Netdata is a real-time performance and health monitoring solution that helps you visualize and understand the behavior of your systems.
  • Prometheus - Prometheus is a systems and service monitoring system.
  • Splunk - Splunk is a self-hosted platform for collecting, indexing, searching, and analyzing log and security data, helping homelabbers and operatio…
  • TimescaleDB - TimescaleDB is an open-source PostgreSQL extension designed for running real-time analytics on time-series data.
  • Zabbix - Zabbix is an enterprise-class, open-source distributed monitoring solution designed to monitor the performance and availability of network…

Checked 11 days ago - source: AlternativeTo

Common questions

How can I limit memory usage for VictoriaMetrics components?

VictoriaMetrics components provide command-line flags to control the size of internal buffers and caches. Use -memory.allowedPercent or -memory.allowedBytes, and run the component with -help to see the flag descriptions.

Can VictoriaMetrics be used for Home Assistant long-term storage and as a Grafana data source?

A Home Assistant community thread reports using VictoriaMetrics as long-term storage and a Grafana data source as stable. It says the setup was preferred over an older InfluxDB and Grafana workaround.

Can I drop unneeded labels or aggregate metrics before they are stored?

Yes. The docs describe dropping unneeded labels from scrape targets or from metrics before they are stored. They also describe aggregating multiple time series into a single output time series before storage.

Can VictoriaMetrics centralize metrics from many Kubernetes clusters?

A Kubernetes-focused discussion describes centralizing metrics from many clusters using VictoriaMetrics. It notes Prometheus is acceptable when the data volume is small.

Is VictoriaMetrics a good fit for a smaller self-hosted home lab?

A Reddit review calls it a great match for smaller home lab or self-hosted deployments. The author used it for several months and says it is surprisingly not well known.

Answers sourced from community.home-assistant.io, docs.victoriametrics.com, github.com, www.reddit.com, www.reddit.com

Community

Collected 8 days ago - public community threads