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Cloud Native Buildpacks vs Thought Machine

Cloud Native Buildpacks logo

Cloud Native Buildpacks

Developer Tools

Specification and tooling that turns source code into OCI images without Dockerfiles

From
Free
Free plan
Yes
Full reviewWebsite
Thought Machine logo

Thought Machine

Technology

Cloud native core banking where products are written as smart contracts

From
On request
Free plan
No
Full reviewWebsite

The short version

  • Only Cloud Native Buildpacks has a free tier, so it costs nothing to try first.
  • 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.; Thought Machine a core replacement is a two to four year programme at an established bank, and the licence is a minority of total cost against system integrator fees, parallel running and data migration.
  • They diverge on capability: Cloud Native Buildpacks covers Detect and build lifecycle, Thought Machine covers Smart contract product engine.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Cloud Native Buildpacks and Thought Machine actually diverge.

Attributes where Cloud Native Buildpacks and Thought Machine differ
AttributeCloud Native BuildpacksThought Machine
Starting priceFreeOn request
Pricing modelOpen source, no licence feequote
Free tierYesNo
PlatformsLinux, macOS, Windows, CLI, Docker, KubernetesWeb, API, Cloud
CategoryDeveloper ToolsTechnology

Identical on both: 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 Cloud Native Buildpacks

  • Detect and build lifecycle
  • Image rebasing
  • Reproducible layers
  • Builder images
  • Automatic SBOM output
  • pack CLI

Only in Thought Machine

  • Smart contract product engine
  • Cloud native architecture
  • Real time ledger
  • Vault Payments
  • API first design
  • Multi entity and multi currency
  • Product versioning and testing
  • Configurable posting rules

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 Thought Machine
  • Removing per-team Dockerfiles at an organisation where inconsistent base images have become an audit findingnot Thought Machine
  • Giving application teams a supported path to a hardened image without teaching every team container securitynot Thought Machine
  • Choosing a build system that a risk committee will accept because governance is vendor neutral rather than single vendornot Thought Machine

Thought Machine

  • A large bank launching a separate digital brand on a clean core rather than migrating the back booknot Cloud Native Buildpacks
  • A bank whose product launches are blocked by vendor change requests on a legacy corenot Cloud Native Buildpacks
  • An institution needing real time balances and postings for instant payment obligationsnot Cloud Native Buildpacks
  • A group consolidating multiple country cores onto one multi entity platformnot 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.

Thought Machine

  • A core replacement is a two to four year programme at an established bank, and the licence is a minority of total cost against system integrator fees, parallel running and data migration.
  • The smart contract model presumes a bank can write and maintain Python financial products, and institutions without that engineering capability end up outsourcing the very flexibility they bought.
  • Cloud infrastructure cost sits with the bank and is not trivial at scale, so total cost of ownership comparisons against a hosted legacy core often miss a large recurring line.
  • Thought Machine has made two rounds of job cuts pursuing profitability, which is a legitimate supplier stability concern for a system a bank expects to run for fifteen years.
  • The functional footprint is core ledger and product engine, so origination, collections, regulatory reporting and channels all come from other vendors, and the integration estate around Vault is the bank's problem to design and own.

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

Thought Machine

On request
  • Vault Core$undefined/year
    • Quoted per institution, typically on account volumes or annual contract value
    • Implementation and system integrator costs commonly exceed the licence fee
    • Cloud infrastructure costs are the bank's and are not included

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.
Cloud Native Buildpacks review

Choose Thought Machine if

  • You need smart contract product engine.
  • You work on Web, API, Cloud.
  • You also want cloud native architecture.
Thought Machine review

Questions people ask

Is Cloud Native Buildpacks or Thought Machine better?
Neither clearly leads. Cloud Native Buildpacks starts at Free and Thought Machine at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cloud Native Buildpacks or Thought Machine?
Cloud Native Buildpacks has a free tier; the other does not. Paid plans start at Free for Cloud Native Buildpacks and On request for Thought Machine.
Does Cloud Native Buildpacks or Thought Machine run on more platforms?
Cloud Native Buildpacks runs on Linux, macOS, Windows, CLI, Docker, Kubernetes. Thought Machine runs on Web, API, Cloud.
Can I use Cloud Native Buildpacks for free?
Yes. Cloud Native Buildpacks has a free tier, so you can try it without paying. Thought Machine starts at On request.
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 Thought Machine is typically brought in for.
What can Cloud Native Buildpacks do that Thought Machine cannot?
Cloud Native Buildpacks covers Detect and build lifecycle, Image rebasing, Reproducible layers, Builder images. Thought Machine covers Smart contract product engine, Cloud native architecture, Real time ledger, Vault Payments.

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.

Thought Machine: Is Vault Core genuinely cloud native?

Yes. It is containerised, runs on Kubernetes on public cloud, and posts in real time rather than in overnight batch.

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.

Thought Machine: How long does a migration take?

Eighteen months at the absolute fastest for a narrow greenfield launch; two to four years for a phased migration at an established bank.

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.

Thought Machine: Does the licence fee represent the total cost?

No. Implementation, system integration, parallel running and cloud infrastructure typically cost more than the licence over the programme.

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.

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