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Machine Learning · head to head

KNIME vs Radix UI

KNIME logo

KNIME

Machine Learning

Open source data analytics and integration platform

From
Free
Rated
-
Radix UI logo

Radix UI

Web Development

Unstyled, accessible React component primitives

From
Free
Rated
-

The short version

  • Each has a real cost: KNIME the free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub; Radix UI you write all the styling, so time to a finished interface is much longer than with a styled library
  • They diverge on capability: KNIME covers Visual workflows, Radix UI covers Unstyled primitives.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which KNIME and Radix UI actually diverge.

Attributes where KNIME and Radix UI differ
AttributeKNIMERadix UI
Pricing modelfreemiumOpen source, no licence fee
PlatformsLinux, Mac, WindowsWeb
CategoryMachine LearningWeb Development
Founded2004Unknown

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 KNIME

  • Visual workflows
  • Data preprocessing
  • Machine learning
  • Visualization
  • Reporting
  • Python
  • R
  • Spark

Only in Radix UI

  • Unstyled primitives
  • Accessibility built in
  • Composable API
  • Controlled or uncontrolled

What people use each for

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

KNIME

  • Data science and machine learning workflowsnot Radix UI
  • ETL and data pipeline automationnot Radix UI
  • Predictive analytics and modelingnot Radix UI

Radix UI

  • Design systems that need correct accessibility without inherited visual opinionsnot KNIME
  • Replacing hand-built dropdowns and dialogs that have accessibility bugsnot KNIME
  • Teams with a designer whose output should not be constrained by a library’s themenot KNIME

Where each one falls short

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

KNIME

  • The free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub
  • The free AI assistant is limited to 20 interactions a month
  • Paid workflow runtime is metered in credits, with 120 included on Pro and overage at $0.025 per vCore minute
  • The Team plan at $99 a month includes 3 members, with additional seats at $49 a month each
  • Business Hub pricing is on request, and its tiers are capped at 4, 8 and 16 vCores with 5, 5 and 20 users

Radix UI

  • You write all the styling, so time to a finished interface is much longer than with a styled library
  • Composable part-based APIs are more verbose than a single component with props
  • Covers primitives rather than complex widgets, so data grids and date pickers come from elsewhere

Pricing, plan by plan

KNIME

Free
  • Analytics PlatformFree
    • 300+ data sources
    • Unlimited local processing
    • K-AI assistant (20 interactions/month)
  • Pro$19/month
    • 120 workflow runtime credits
    • Data app deployment
    • K-AI (500 interactions/month)
  • Team$99/month
    • All Pro features
    • Collaboration spaces for up to 3 team members
    • Additional members: $49/month each
  • Business Hub$null/month
    • Enterprise automation and governance
    • LDAP/OAuth authentication
    • Staged deployment

Radix UI

Free
  • Radix UIFree
    • Full functionality
    • Commercial use permitted
    • Community support

Which should you pick?

Choose KNIME if

  • You need visual workflows.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want data preprocessing.

Choose Radix UI if

  • You need unstyled primitives.
  • You want to start without paying.
  • You also want accessibility built in.

Questions people ask

Is KNIME or Radix UI better?
Neither clearly leads. KNIME starts at Free and Radix UI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, KNIME or Radix UI?
KNIME starts at Free and Radix UI at Free.
Does KNIME or Radix UI run on more platforms?
KNIME runs on Linux, Mac, Windows. Radix UI runs on Web.
Can I use KNIME for free?
Both have a free tier, so you can try either at no cost before committing.
What is KNIME best used for?
KNIME is most often used for data science and machine learning workflows, etl and data pipeline automation, predictive analytics and modeling. Of those, data science and machine learning workflows and etl and data pipeline automation are not what Radix UI is typically brought in for.
What can KNIME do that Radix UI cannot?
KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. Radix UI covers Unstyled primitives, Accessibility built in, Composable API, Controlled or uncontrolled.

Answered from the vendors’ own pages

KNIME: Is KNIME free?

Yes, KNIME Analytics Platform is free with 300+ data sources, unlimited local processing, and 20 K-AI assistant interactions per month.

Source
Radix UI: Is Radix UI free?

Yes, open source under the MIT licence.

KNIME: What do KNIME paid plans cost?

Pro plan starts at $19/month with 120 runtime credits. Team plan starts at $99/month for up to 3 members, with additional members at $49/month each.

Source
Radix UI: Why use unstyled components?

Because accessibility is the hard part and visual design is the part teams want to own. Radix gives the first and stays out of the second.

KNIME: What is KNIME's runtime credit system?

Pro and Team plans include runtime credits for workflow execution. Additional runtime beyond included credits costs $0.025 per vCore minute.

Source
Radix UI: What is the relationship with shadcn/ui?

shadcn/ui is built on Radix primitives, adding Tailwind styling and copy-paste distribution on top.

KNIME: Does KNIME offer enterprise pricing?

Yes, Business Hub is available for enterprises needing automation, governance, LDAP/OAuth auth, and dedicated resources. Pricing available on request.

Source
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