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AI · head to head

CoreWeave vs RapidMiner

CoreWeave logo

CoreWeave

AI

Specialized cloud for GPU compute

From
$0.35/per-hour
Rated
-
Full reviewWebsite
RapidMiner logo

RapidMiner

Machine Learning

Visual workflow data science platform, now sold by Altair as AI Studio

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only RapidMiner has a free tier, so it costs nothing to try first.
  • Each has a real cost: CoreWeave gPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand; RapidMiner processes are stored as the product's own XML, so they cannot be meaningfully diffed, reviewed in a pull request or executed anywhere else, and a team's accumulated work is not portable in any practical sense.
  • They diverge on capability: CoreWeave covers NVIDIA H100/A100, RapidMiner covers Visual process canvas.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which CoreWeave and RapidMiner actually diverge.

Attributes where CoreWeave and RapidMiner differ
AttributeCoreWeaveRapidMiner
Starting price$0.35/per-hourFree
Pricing modelusage-basedfreemium
Free tierNoYes
PlatformsCloudLinux, Mac, Windows, Web
CategoryAIMachine Learning
Founded20172007

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 CoreWeave

  • NVIDIA H100/A100
  • Kubernetes native
  • High bandwidth
  • Object storage
  • Kubernetes
  • Terraform
  • Cloud APIs
  • Cloud support

Only in RapidMiner

  • Visual process canvas
  • Operator library
  • Automatic modelling
  • Python and R operators
  • Validation operators
  • Text and time series extensions
  • AI Hub server
  • Altair portfolio integration

What people use each for

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

CoreWeave

  • Renting GPU compute for model training and inferencenot RapidMiner
  • Running large scale AI workloads without buying hardwarenot RapidMiner

RapidMiner

  • Modelling work in an engineering organisation where the analysis must be reviewable by people who do not codenot CoreWeave
  • Teaching data science concepts, where seeing the validation split as a visible connection is more instructive than reading a function callnot CoreWeave
  • Companies already holding Altair licences, where adding this draws on units already purchased rather than a new procurementnot CoreWeave
  • Business analysts building predictive workflows without a data science team to hand the problem tonot CoreWeave

Where each one falls short

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

CoreWeave

  • GPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand
  • Spot pricing is roughly 40% of on demand, at $19.71 an hour for the same H100 node, so predictable capacity carries a large premium
  • The newest hardware carries no published price and requires contacting sales
  • Discounts of up to 60% require committed usage agreements negotiated with sales
  • Only the GH200 is offered as a single GPU instance

RapidMiner

  • Processes are stored as the product's own XML, so they cannot be meaningfully diffed, reviewed in a pull request or executed anywhere else, and a team's accumulated work is not portable in any practical sense.
  • The operator library is the ceiling, and anything beyond it means dropping into an embedded Python or R operator, at which point the code sits inside a visual container that provides none of the version control, testing or debugging a normal repository would.
  • Two changes of ownership in three years, Altair in 2022 and Siemens thereafter, have already moved the product's name, packaging and licensing, so a buyer is committing to a roadmap decided inside a much larger engineering software business.
  • Licensing draws on Altair's shared units pool, so running heavy modelling work consumes capacity that other teams in the organisation were relying on for different products, which makes cost attribution and capacity planning awkward.
  • Scheduling and deployment require AI Hub as a separate server product to install, license and operate, so a model built on the desktop is not in production until another purchase and another installation have been completed.

Pricing, plan by plan

CoreWeave

$0.35/per-hour
  • Standard$0.35/per-hour
    • Various GPU types
    • Kubernetes
  • EnterpriseFree
    • Dedicated clusters
    • Custom solutions

RapidMiner

Free
  • FreeFree
    • 10,000 data rows
    • 1 logical processor
  • ProfessionalFree
    • Unlimited data
    • Full features
    • Support

Which should you pick?

Choose CoreWeave if

  • You need nvidia h100/a100.
  • You work on Cloud.
  • You also want kubernetes native.
CoreWeave review

Choose RapidMiner if

  • You need visual process canvas.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want operator library.
RapidMiner review

Questions people ask

Is CoreWeave or RapidMiner better?
Neither clearly leads. CoreWeave starts at $0.35/per-hour and RapidMiner at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, CoreWeave or RapidMiner?
RapidMiner has a free tier; the other does not. Paid plans start at $0.35/per-hour for CoreWeave and Free for RapidMiner.
Does CoreWeave or RapidMiner run on more platforms?
CoreWeave runs on Cloud. RapidMiner runs on Linux, Mac, Windows, Web.
Can I use RapidMiner for free?
Yes. RapidMiner has a free tier, so you can try it without paying. CoreWeave starts at $0.35/per-hour.
What is CoreWeave best used for?
CoreWeave is most often used for renting gpu compute for model training and inference, running large scale ai workloads without buying hardware. Of those, renting gpu compute for model training and inference and running large scale ai workloads without buying hardware are not what RapidMiner is typically brought in for.
What can CoreWeave do that RapidMiner cannot?
CoreWeave covers NVIDIA H100/A100, Kubernetes native, High bandwidth, Object storage. RapidMiner covers Visual process canvas, Operator library, Automatic modelling, Python and R operators.

Answered from the vendors’ own pages

CoreWeave: How much does CoreWeave cost?

CoreWeave does not publish pricing on its website. The company uses a quote-based pricing model and directs customers to contact their sales team directly to discuss pricing options and customized solutions.

Source
RapidMiner: Is it still called RapidMiner?

The desktop product is now Altair AI Studio and the server is Altair AI Hub. The RapidMiner name persists in documentation, community material and most search results, which makes finding current information harder than it should be.

CoreWeave: How can I get a quote from CoreWeave?

To obtain CoreWeave pricing, you must contact their sales team directly through the Contact Us option on their website. They will provide a customized quote based on your specific compute and infrastructure requirements.

Source
RapidMiner: Is there a free version?

Altair has offered free and academic editions with usage limits, but the terms have moved with each ownership change, so check what is currently on offer rather than relying on what the free tier allowed a few years ago.

RapidMiner: Do I need to write code?

No, which is the point of it. You will write some once you hit the edge of the operator library, and at that stage the tool works against you rather than for you.

RapidMiner: Can I put a model into production?

Through AI Hub, which is a separate licensed server. The desktop tool builds and validates; it does not schedule or serve.

RapidMiner: How does licensing work?

Through Altair's units model, where a pool of purchased units is drawn on by whichever Altair products your organisation runs, rather than a per-seat licence specific to this product.

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