Developer Tools · head to head
Cloud Native Buildpacks vs Steampipe

Cloud Native Buildpacks
Developer Tools
Specification and tooling that turns source code into OCI images without Dockerfiles
- From
- Free
- Rated
- -

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: Cloud Native Buildpacks the operational cost is real: you own builder images, base image refresh cadence and migrations between specification versions, which currently sit at Buildpack API 0.10 and Platform API 0.12 with published migration guides, so breaking changes are a recurring chore.; 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: Cloud Native Buildpacks covers Detect and build lifecycle, 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 Cloud Native Buildpacks and Steampipe actually diverge.
| Attribute | Cloud Native Buildpacks | Steampipe |
|---|---|---|
| Pricing model | Open source, no licence fee | Open source, with paid hosting through Turbot Pipes |
| Platforms | Linux, macOS, Windows, CLI, Docker, Kubernetes | macOS, Linux, Windows, Docker, Web |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Developer Tools).
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 Cloud Native Buildpacks
- Detect and build lifecycle
- Image rebasing
- Reproducible layers
- Builder images
- Automatic SBOM output
- pack CLI
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.
Cloud Native Buildpacks
- Patching a base image once and rebasing hundreds of application images rather than rebuilding and redeploying eachnot Steampipe
- Removing per-team Dockerfiles at an organisation where inconsistent base images have become an audit findingnot Steampipe
- Giving application teams a supported path to a hardened image without teaching every team container securitynot Steampipe
- Choosing a build system that a risk committee will accept because governance is vendor neutral rather than single vendornot Steampipe
Steampipe
- Security teams answering posture questions against live cloud accounts rather than a nightly exportnot Cloud Native Buildpacks
- Compliance evidence gathering where the answer must reflect the account at the moment it is askednot Cloud Native Buildpacks
- Inventory and drift questions spanning several cloud providers in one querynot Cloud Native Buildpacks
- Engineers who would rather write SQL than learn each provider command line toolnot Cloud Native Buildpacks
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cloud Native Buildpacks
- The operational cost is real: you own builder images, base image refresh cadence and migrations between specification versions, which currently sit at Buildpack API 0.10 and Platform API 0.12 with published migration guides, so breaking changes are a recurring chore.
- A cold build with no warm cache is noticeably slower than a well layered Dockerfile, and because the cache lives in a cache image or volume, ephemeral continuous integration runners pay full price on every run unless you deliberately warm them.
- Reproducibility depends on discipline rather than defaults, because buildpacks resolve runtime patch versions at build time unless you pin them and stability is only as good as the builder image tag you point at.
- The specification is neutral but the buildpacks are not, and in practice you depend on Paketo, Heroku or Google, whose roadmaps, support levels and update cadences differ; CNCF also records contributing organisations down 12 per cent year on year.
- Native dependencies, unusual monorepo layouts and non-standard project structures push you into writing custom buildpacks or extensions, which is a genuine engineering investment and not a configuration change.
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
Cloud Native Buildpacks
Free- Cloud Native BuildpacksFree
- Apache-2.0, hosted by the CNCF
- No commercial edition from the project itself
- Commercial support only from vendors of specific buildpack distributions
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 Cloud Native Buildpacks if
- You need detect and build lifecycle.
- You want to start without paying.
- You work on Linux, macOS, Windows, CLI, Docker, Kubernetes.
- You also want image rebasing.
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 Cloud Native Buildpacks or Steampipe better?
- Neither clearly leads. Cloud Native Buildpacks 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, Cloud Native Buildpacks or Steampipe?
- Cloud Native Buildpacks starts at Free and Steampipe at Free.
- Does Cloud Native Buildpacks or Steampipe run on more platforms?
- Cloud Native Buildpacks runs on Linux, macOS, Windows, CLI, Docker, Kubernetes. Steampipe runs on macOS, Linux, Windows, Docker, Web.
- Can I use Cloud Native Buildpacks for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Cloud Native Buildpacks best used for?
- Cloud Native Buildpacks is most often used for patching a base image once and rebasing hundreds of application images rather than rebuilding and redeploying each, removing per-team dockerfiles at an organisation where inconsistent base images have become an audit finding, giving application teams a supported path to a hardened image without teaching every team container security, choosing a build system that a risk committee will accept because governance is vendor neutral rather than single vendor. Of those, patching a base image once and rebasing hundreds of application images rather than rebuilding and redeploying each and removing per-team dockerfiles at an organisation where inconsistent base images have become an audit finding are not what Steampipe is typically brought in for.
- What can Cloud Native Buildpacks do that Steampipe cannot?
- Cloud Native Buildpacks covers Detect and build lifecycle, Image rebasing, Reproducible layers, Builder images. Steampipe covers SQL over live APIs, Wide plugin set, Embedded Postgres, Compliance benchmarks.
Answered from the vendors’ own pages
Cloud Native Buildpacks: What does CNCF graduation actually change?
Nothing technically, but it signals audited governance, security review and multi-vendor maintenance, which is usually what a procurement or risk team needs before approving a build system.
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.
Cloud Native Buildpacks: How is this different from writing a Dockerfile?
Container build knowledge lives with the platform team in a builder image rather than in every repository, and rebasing lets you patch the runtime base of many images without rebuilding them.
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.
Cloud Native Buildpacks: Does it cost anything?
No. The specification and tooling are Apache-2.0 and free. You pay only if you buy commercial support for a specific buildpack distribution from Broadcom, Heroku or Google.
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.
Cloud Native Buildpacks: Is it slower than a Dockerfile?
On a cold build with no cache, yes. Warm builds are competitive, but continuous integration runners that start empty every time will feel the difference.
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.
Related pages
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