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Cloud · head to head

kind vs Steampipe

kind logo

kind

Cloud

Run Kubernetes clusters inside Docker containers

From
Free
Rated
-
Steampipe logo

Steampipe

Developer Tools

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

From
Free
Rated
-

The short version

  • Each has a real cost: kind requires Docker or Podman, so it inherits whatever container runtime limitations exist on the host; 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.
  • They diverge on capability: kind covers Nodes as containers, Steampipe covers SQL over live APIs.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which kind and Steampipe actually diverge.

Attributes where kind and Steampipe differ
AttributekindSteampipe
Pricing modelOpen source, no licence feeOpen source, with paid hosting through Turbot Pipes
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows, Docker, Web
CategoryCloudDeveloper Tools

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 kind

  • Nodes as containers
  • Multi-node topologies
  • CI-friendly
  • Local image loading

Only in Steampipe

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

What people use each for

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

kind

  • Spinning up and destroying a Kubernetes cluster inside a CI jobnot Steampipe
  • Testing controllers and operators against several Kubernetes versionsnot Steampipe
  • Local multi-node clusters without the memory cost of virtual machinesnot Steampipe

Steampipe

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

Where each one falls short

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

kind

  • Requires Docker or Podman, so it inherits whatever container runtime limitations exist on the host
  • Fewer conveniences than minikube: no addon system, so ingress and metrics need manual installation
  • Because nodes are containers sharing the host kernel, it is a weaker simulation of real node behaviour and storage

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.

Pricing, plan by plan

kind

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

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

Which should you pick?

Choose kind if

  • You need nodes as containers.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want multi-node topologies.

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.

Questions people ask

Is kind or Steampipe better?
Neither clearly leads. kind starts at Free and Steampipe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, kind or Steampipe?
kind starts at Free and Steampipe at Free.
Does kind or Steampipe run on more platforms?
kind runs on Linux, macOS, Windows. Steampipe runs on macOS, Linux, Windows, Docker, Web.
Can I use kind for free?
Both have a free tier, so you can try either at no cost before committing.
What is kind best used for?
kind is most often used for spinning up and destroying a kubernetes cluster inside a ci job, testing controllers and operators against several kubernetes versions, local multi-node clusters without the memory cost of virtual machines. Of those, spinning up and destroying a kubernetes cluster inside a ci job and testing controllers and operators against several kubernetes versions are not what Steampipe is typically brought in for.
What can kind do that Steampipe cannot?
kind covers Nodes as containers, Multi-node topologies, CI-friendly, Local image loading. Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks.

Answered from the vendors’ own pages

kind: Is kind free?

Yes, open source and maintained under Kubernetes SIGs.

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.

kind: Why run Kubernetes nodes as containers?

Speed and cost. A container node starts in seconds and uses far less memory than a virtual machine, which is what makes per-CI-run clusters realistic.

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.

kind: Is kind suitable for production?

No. It is a development and testing tool, and node isolation is weaker than real nodes because containers share the host kernel.

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.

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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