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Databases · head to head

OpenSearch vs VictoriaMetrics

OpenSearch logo

OpenSearch

Databases

Open-source search and analytics suite forked from Elasticsearch

From
Free
Rated
-
VictoriaMetrics logo

VictoriaMetrics

Cloud

Fast, cost-effective time series database for metrics

From
Free
Rated
-

The short version

  • Each has a real cost: OpenSearch diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one; VictoriaMetrics promQL compatibility is very close but not identical, and MetricsQL extensions do not port back
  • They diverge on capability: OpenSearch covers Full-text search, VictoriaMetrics covers PromQL compatible.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which OpenSearch and VictoriaMetrics actually diverge.

Attributes where OpenSearch and VictoriaMetrics differ
AttributeOpenSearchVictoriaMetrics
Pricing modelOpen source, no licence fee; managed services billed separatelyOpen source, no licence fee
CategoryDatabasesCloud

Identical on both: starting price (Free), free tier (Yes), platforms (Linux, Docker, Kubernetes, Self-hosted), user rating (Not yet rated).

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 OpenSearch

  • Full-text search
  • OpenSearch Dashboards
  • Log analytics
  • Vector search

Only in VictoriaMetrics

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

What people use each for

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

OpenSearch

  • Log and observability storage where an Apache-2.0 licence is a requirementnot VictoriaMetrics
  • Replacing Elasticsearch after the licence change without changing architecturenot VictoriaMetrics
  • Search plus analytics on one cluster rather than two systemsnot VictoriaMetrics

VictoriaMetrics

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

Where each one falls short

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

OpenSearch

  • Diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
  • Operationally heavy in the way Elasticsearch is: cluster sizing, shard strategy and JVM tuning are ongoing work
  • Smaller ecosystem of third-party tooling than Elasticsearch, which most integrations still target first
  • Overkill for plain application search, where a dedicated search engine is far simpler

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

Pricing, plan by plan

OpenSearch

Free
  • OpenSearchFree
    • Full functionality
    • Self-hosted
    • No usage limits

VictoriaMetrics

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

Which should you pick?

Choose OpenSearch if

  • You need full-text search.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want opensearch dashboards.

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.

Questions people ask

Is OpenSearch or VictoriaMetrics better?
Neither clearly leads. OpenSearch starts at Free and VictoriaMetrics at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, OpenSearch or VictoriaMetrics?
OpenSearch starts at Free and VictoriaMetrics at Free.
Does OpenSearch or VictoriaMetrics run on more platforms?
Both run on Linux, Docker, Kubernetes, Self-hosted, so platform support will not decide this one for you.
Can I use OpenSearch for free?
Both have a free tier, so you can try either at no cost before committing.
What is OpenSearch best used for?
OpenSearch is most often used for log and observability storage where an apache-2.0 licence is a requirement, replacing elasticsearch after the licence change without changing architecture, search plus analytics on one cluster rather than two systems. Of those, log and observability storage where an apache-2.0 licence is a requirement and replacing elasticsearch after the licence change without changing architecture are not what VictoriaMetrics is typically brought in for.
What can OpenSearch do that VictoriaMetrics cannot?
OpenSearch covers Full-text search, OpenSearch Dashboards, Log analytics, Vector search. VictoriaMetrics covers PromQL compatible, Low resource use, Single binary or cluster, Remote write target.

Answered from the vendors’ own pages

OpenSearch: Is OpenSearch free?

Yes, Apache 2.0 licensed under the Linux Foundation. Amazon OpenSearch Service is a paid managed option.

VictoriaMetrics: Is VictoriaMetrics free?

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

OpenSearch: Why does OpenSearch exist?

Elastic moved Elasticsearch off the Apache 2.0 licence in 2021. AWS forked the last Apache-licensed version, and the project now sits under the Linux Foundation.

VictoriaMetrics: Does it replace Prometheus?

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

OpenSearch: Is OpenSearch compatible with Elasticsearch?

It was at the 7.10 fork point. Both have developed independently since, so compatibility weakens with every release and should be verified for the features you use.

VictoriaMetrics: Is PromQL fully supported?

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

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