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Cloud · head to head

VictoriaMetrics vs K3s

VictoriaMetrics logo

VictoriaMetrics

Cloud

Fast, cost-effective time series database for metrics

From
Free
Rated
-
Full reviewWebsite
K3s logo

K3s

Cloud

Lightweight certified Kubernetes distribution in a single binary

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: VictoriaMetrics promQL compatibility is very close but not identical, and MetricsQL extensions do not port back; K3s the SQLite default is single-server only; highly available control planes need etcd or an external datastore, which removes much of the simplicity
  • They diverge on capability: VictoriaMetrics covers PromQL compatible, K3s covers Single binary.

Where they differ

Only the attributes on which VictoriaMetrics and K3s actually diverge.

Attributes where VictoriaMetrics and K3s differ
AttributeVictoriaMetricsK3s
PlatformsLinux, Docker, Kubernetes, Self-hostedLinux, ARM, Self-hosted

Identical on both: starting price (Free), pricing model (Open source, no licence fee), free tier (Yes), user rating (Not yet rated), category (Cloud).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in VictoriaMetrics

  • PromQL compatible
  • Low resource use
  • Single binary or cluster
  • Remote write target

Only in K3s

  • Single binary
  • SQLite by default
  • Certified conformant
  • Batteries included
  • Low resource footprint
  • Simple install

What people use each for

The jobs each tool is most often brought in to do.

VictoriaMetrics

  • Keeping months or years of Prometheus metrics without the memory costnot K3s
  • High-cardinality metrics where Prometheus strugglesnot K3s
  • Consolidating metrics from many Prometheus instances into one queryable storenot K3s

K3s

  • Kubernetes on edge sites and IoT hardware where full clusters will not fitnot VictoriaMetrics
  • Development and CI clusters that must start fast and cost nothingnot VictoriaMetrics
  • Small production clusters where full Kubernetes is more operations than the workload justifiesnot VictoriaMetrics
  • Teaching and learning Kubernetes without cloud spendnot VictoriaMetrics

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

VictoriaMetrics

  • PromQL compatibility is very close but not identical, and MetricsQL extensions do not port back
  • Smaller community than Prometheus, so fewer guides and third-party integrations
  • The clustered version has meaningfully more moving parts than the single binary suggests
  • Some enterprise features sit outside the open-source offering

K3s

  • The SQLite default is single-server only; highly available control planes need etcd or an external datastore, which removes much of the simplicity
  • Bundled components such as Traefik are opinionated defaults that larger teams often strip out and replace
  • Removed in-tree cloud provider integrations mean cloud-specific features need external controllers
  • Aimed at small and edge clusters, so very large deployments are better served by a standard distribution

Pricing, plan by plan

VictoriaMetrics

Free
  • VictoriaMetricsFree
    • Full functionality
    • No data limits
    • Community support

K3s

Free
  • K3sFree
    • Full functionality
    • No usage limits
    • Community support

Which should you pick?

Choose VictoriaMetrics if

  • You need promql compatible.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want low resource use.
VictoriaMetrics review

Choose K3s if

  • You need single binary.
  • You want to start without paying.
  • You work on Linux, ARM, Self-hosted.
  • You also want sqlite by default.
K3s review

Questions people ask

Is VictoriaMetrics or K3s better?
Neither clearly leads. VictoriaMetrics starts at Free and K3s at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, VictoriaMetrics or K3s?
VictoriaMetrics starts at Free and K3s at Free.
Does VictoriaMetrics or K3s run on more platforms?
VictoriaMetrics runs on Linux, Docker, Kubernetes, Self-hosted. K3s runs on Linux, ARM, Self-hosted.
Can I use VictoriaMetrics for free?
Both have a free tier, so you can try either at no cost before committing.
What is VictoriaMetrics best used for?
VictoriaMetrics is most often used for keeping months or years of prometheus metrics without the memory cost, high-cardinality metrics where prometheus struggles, consolidating metrics from many prometheus instances into one queryable store. Of those, keeping months or years of prometheus metrics without the memory cost and high-cardinality metrics where prometheus struggles are not what K3s is typically brought in for.
What can VictoriaMetrics do that K3s cannot?
VictoriaMetrics covers PromQL compatible, Low resource use, Single binary or cluster, Remote write target. K3s covers Single binary, SQLite by default, Certified conformant, Batteries included.

Answered from the vendors’ own pages

VictoriaMetrics: Is VictoriaMetrics free?

The open-source version is free with no data limits. An enterprise edition and cloud service are paid.

K3s: Is K3s free?

Yes. K3s is open source with no licence fee. SUSE sells commercial support around Rancher separately.

VictoriaMetrics: Does it replace Prometheus?

It can, but most teams keep Prometheus for scraping and use VictoriaMetrics as the long-term store behind it.

K3s: Is K3s real Kubernetes?

Yes. It is CNCF-certified conformant, so standard manifests, kubectl and Helm charts work without modification.

VictoriaMetrics: Is PromQL fully supported?

Very nearly. It implements PromQL and extends it with MetricsQL, though a small number of edge-case behaviours differ.

K3s: Why is K3s smaller than Kubernetes?

It strips legacy, alpha and in-tree cloud provider code, packages everything as one binary, and defaults to SQLite instead of etcd.

K3s: Can K3s run in production?

Yes, and it does, particularly at the edge and for small clusters. For a highly available control plane you need to move off the SQLite default to etcd or an external datastore.

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