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Developer Tools · head to head

Steampipe vs VictoriaMetrics

Steampipe logo

Steampipe

Developer Tools

Query cloud APIs, SaaS tools and code with SQL, with no extract or load step

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: Steampipe aGPL-3.0 across all four engines is a procurement blocker at organisations that ban the licence outright, and the network clause reaches any internal portal or service that puts a web interface in front of it.; VictoriaMetrics promQL compatibility is very close but not identical, and MetricsQL extensions do not port back
  • They diverge on capability: Steampipe covers SQL over live APIs, VictoriaMetrics covers PromQL compatible.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Steampipe and VictoriaMetrics actually diverge.

Attributes where Steampipe and VictoriaMetrics differ
AttributeSteampipeVictoriaMetrics
Pricing modelOpen source, with paid hosting through Turbot PipesOpen source, no licence fee
PlatformsmacOS, Linux, Windows, Docker, WebLinux, Docker, Kubernetes, Self-hosted
CategoryDeveloper ToolsCloud

Identical on both: starting price (Free), free tier (Yes), 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 Steampipe

  • SQL over live APIs
  • Wide plugin set
  • Embedded Postgres
  • Compliance benchmarks
  • Joins across providers
  • Hosted option

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.

Steampipe

  • Security teams answering posture questions against live cloud accounts rather than a nightly exportnot VictoriaMetrics
  • Compliance evidence gathering where the answer must reflect the account at the moment it is askednot VictoriaMetrics
  • Inventory and drift questions spanning several cloud providers in one querynot VictoriaMetrics
  • Engineers who would rather write SQL than learn each provider command line toolnot VictoriaMetrics

VictoriaMetrics

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

Where each one falls short

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

Steampipe

  • AGPL-3.0 across all four engines is a procurement blocker at organisations that ban the licence outright, and the network clause reaches any internal portal or service that puts a web interface in front of it.
  • Dashboards, benchmarks and mods were removed from Steampipe entirely at version 1.0 in October 2024 and now live in a separate product, so pre-2024 documentation and tutorials describe commands that no longer exist.
  • Live querying is bound by cloud provider API rate limits and keeps no persistent store by default, which is why a separate DuckDB-backed product exists for log volumes and why large accounts return slowly.
  • The company is fifteen people and bootstrapped, maintaining four command line tools plus a hosted service plus two further products, and the newer tools have thin community traction relative to that surface area.
  • Hosted tiers include only three users regardless of tier, with additional Enterprise users charged separately, so a team of thirty costs an order of magnitude more than the headline figure before compute and storage are counted.

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

Steampipe

Free
  • Steampipe CLIFree
    • AGPL-3.0
    • All plugins
    • No user or query limits
  • Pipes DeveloperFree
    • One user
    • 400 compute minutes
    • 3GB storage
  • Pipes Team$49/month
    • Three users
    • 2,000 compute minutes
    • 20GB storage
  • Pipes Enterprise$249/month
    • Three users
    • 10,000 compute minutes
    • 100GB storage

VictoriaMetrics

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

Which should you pick?

Choose Steampipe if

  • You need sql over live apis.
  • You want to start without paying.
  • You work on macOS, Linux, Windows, Docker, Web.
  • You also want wide plugin set.

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 Steampipe or VictoriaMetrics better?
Neither clearly leads. Steampipe 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, Steampipe or VictoriaMetrics?
Steampipe starts at Free and VictoriaMetrics at Free.
Does Steampipe or VictoriaMetrics run on more platforms?
Steampipe runs on macOS, Linux, Windows, Docker, Web. VictoriaMetrics runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use Steampipe for free?
Both have a free tier, so you can try either at no cost before committing.
What is Steampipe best used for?
Steampipe is most often used for security teams answering posture questions against live cloud accounts rather than a nightly export, compliance evidence gathering where the answer must reflect the account at the moment it is asked, inventory and drift questions spanning several cloud providers in one query, engineers who would rather write sql than learn each provider command line tool. Of those, security teams answering posture questions against live cloud accounts rather than a nightly export and compliance evidence gathering where the answer must reflect the account at the moment it is asked are not what VictoriaMetrics is typically brought in for.
What can Steampipe do that VictoriaMetrics cannot?
Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks. VictoriaMetrics covers PromQL compatible, Low resource use, Single binary or cluster, Remote write target.

Answered from the vendors’ own pages

Steampipe: When did Steampipe become AGPL?

May 2021, about four months after the project went public. It is a settled licence rather than a recent change, and predates the Business Source Licence wave it is often confused with.

VictoriaMetrics: Is VictoriaMetrics free?

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

Steampipe: Where did the dashboards and benchmarks go?

Into Powerpipe. They were deprecated in March 2024 and removed from Steampipe at version 1.0 in October 2024, so the check, dashboard, mod and variable commands are gone.

VictoriaMetrics: Does it replace Prometheus?

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

Steampipe: Is it fast on a large cloud estate?

Not always. Queries call provider APIs at request time, so rate limits rather than query planning set the pace, and there is no persistent store by default.

VictoriaMetrics: Is PromQL fully supported?

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

Steampipe: Does the AGPL affect internal use?

Running it internally for your own analysis is fine. Putting a web interface in front of it that other people use is where the network clause becomes a question for your legal team.

Steampipe: Is a bootstrapped vendor a risk?

It cuts both ways. There is no investor pressure toward a licence change or an exit, and there are also fifteen people supporting a large product surface.

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