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Machine Learning · head to head

KNIME vs Minitab

KNIME logo

KNIME

Machine Learning

Open source data analytics and integration platform

From
Free
Rated
-
Full reviewWebsite
Minitab logo

Minitab

Machine Learning

Statistical software for quality engineering, and the tool Six Sigma training is written around

From
$2394/year
Rated
-
Full reviewWebsite

The short version

  • Only KNIME has a free tier, so it costs nothing to try first.
  • Each has a real cost: KNIME the free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub; Minitab licensing is a per named user subscription, so an organisation where fifty engineers each need it twice a quarter pays fifty full seats for people who open it eight times a year.
  • They diverge on capability: KNIME covers Visual workflows, Minitab covers Control charts.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which KNIME and Minitab actually diverge.

Attributes where KNIME and Minitab differ
AttributeKNIMEMinitab
Starting priceFree$2394/year
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsLinux, Mac, WindowsMac, Windows, Web
Founded20041972

Identical on both: user rating (Not yet rated), category (Machine Learning).

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 Minitab

  • Control charts
  • Process capability analysis
  • Measurement systems analysis
  • Design of experiments
  • Classical statistics
  • Assistant
  • Predictive Analytics module
  • Desktop and browser access

What people use each for

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

KNIME

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

Minitab

  • Six Sigma and process improvement projects where the training materials and internal procedures already assume Minitabnot KNIME
  • Producing capability and gage studies as evidence for a customer audit or a regulatory submissionnot KNIME
  • Design of experiments on a production process, run by an engineer who will not be writing codenot KNIME
  • Quality departments that need credible statistics without hiring a statistician or a data scientistnot 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

Minitab

  • Licensing is a per named user subscription, so an organisation where fifty engineers each need it twice a quarter pays fifty full seats for people who open it eight times a year.
  • Analyses are recorded as a project file and a session log rather than as code, so reviewing what somebody did means reading output instead of reading a script, and reproducing it a year later depends on the same version still being installed.
  • The machine learning capability is a separately licensed module with a fixed set of tree-based methods, so it is neither included in the base price nor competitive with what a Python user has for nothing.
  • There is no deployment path in the statistical product, so putting a model into a running process means buying Minitab Model Ops as another product or reimplementing the model somewhere else entirely.
  • Data handling is worksheet-shaped and held in memory, so anything past a few million rows means preparing the extract in another tool first, and joins and reshaping are clumsy compared with SQL or pandas.

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

Minitab

$2394/year
  • Solution Center Core$2394/year
    • Marked as Most Popular
    • Best for quality professionals
    • Minitab Dashboards
  • Solution Center Analytics$2593.5/year
    • Best for analytics professionals
    • Includes predictive analytics capabilities
    • Minitab Dashboards
  • Solution Center Copilot$2793/year
    • All-in-one platform for operational excellence
    • Includes AI-powered insights
    • Minitab Dashboards

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.
KNIME review

Choose Minitab if

  • You need control charts.
  • You work on Mac, Windows, Web.
  • You also want process capability analysis.
Minitab review

Questions people ask

Is KNIME or Minitab better?
Neither clearly leads. KNIME starts at Free and Minitab at $2394/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, KNIME or Minitab?
KNIME has a free tier; the other does not. Paid plans start at Free for KNIME and $2394/year for Minitab.
Does KNIME or Minitab run on more platforms?
KNIME runs on Linux, Mac, Windows. Minitab runs on Mac, Windows, Web.
Can I use KNIME for free?
Yes. KNIME has a free tier, so you can try it without paying. Minitab starts at $2394/year.
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 Minitab is typically brought in for.
What can KNIME do that Minitab cannot?
KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. Minitab covers Control charts, Process capability analysis, Measurement systems analysis, Design of experiments.

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
Minitab: Does Minitab run on macOS?

The installed desktop application is Windows. Mac users work through the browser version, which is included with the subscription but is not identical in every feature.

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
Minitab: Is it machine learning software?

Not primarily. It is a statistics package for quality and process work. Predictive modelling exists in a separate Predictive Analytics module and is limited to tree-based methods.

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
Minitab: Can I buy a perpetual licence?

The current offer is subscription based. Older perpetual licences exist in the field but are not the way the product is sold now.

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
Minitab: What is the difference between Minitab and Minitab Workspace or Engage?

Minitab Statistical Software does the analysis. Workspace and Engage are separate products for process mapping, project management and improvement programme governance, and are licensed separately.

Minitab: Can I automate it?

Only to a limited degree. There is a command language and integration options, but it is designed to be driven by a person through menus, not scheduled in a pipeline.

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