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Machine Learning · head to head

KNIME vs Voiceflow

KNIME logo

KNIME

Machine Learning

Open source data analytics and integration platform

From
Free
Free plan
Yes
Voiceflow logo

Voiceflow

AI

Design, build, and launch AI agents

From
Free
Free plan
Yes

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; Voiceflow the free plan is limited to a single active workspace collaborator, so team collaboration requires upgrading to the paid Pro or Team tiers
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which KNIME and Voiceflow actually diverge.

Attributes where KNIME and Voiceflow differ
AttributeKNIMEVoiceflow
PlatformsLinux, Mac, WindowsWeb
CategoryMachine LearningAI
Founded2004Unknown

Identical on both: starting price (Free), pricing model (freemium), 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 Voiceflow

Nothing recorded that KNIME does not also cover.

What people use each for

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

KNIME

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

Voiceflow

  • Automating customer support by resolving 59% of support tickets without human interventionnot KNIME
  • Managing conversational agents across web, app, WhatsApp, SMS, and voice channels simultaneouslynot KNIME
  • Designing and testing conversation flows visually before production deploymentnot KNIME
  • Connecting AI agents to Salesforce, Shopify, Zendesk, Airtable for data integrationnot 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

Voiceflow

  • The free plan is limited to a single active workspace collaborator, so team collaboration requires upgrading to the paid Pro or Team tiers

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

Voiceflow

Free

No published plan breakdown. See the Voiceflow review.

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 Voiceflow if

  • You want to start without paying.

Questions people ask

Is KNIME or Voiceflow better?
Neither clearly leads. KNIME starts at Free and Voiceflow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, KNIME or Voiceflow?
KNIME starts at Free and Voiceflow at Free.
Does KNIME or Voiceflow run on more platforms?
KNIME runs on Linux, Mac, Windows. Voiceflow 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 Voiceflow is typically brought in for.
What can KNIME do that Voiceflow cannot?
KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization.

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
Voiceflow: Can non-technical team members build conversational agents with Voiceflow?

Yes, Voiceflow's visual flow editor allows designers and non-technical staff to design conversation paths, test interactions in real-time, and iterate without writing code.

Source
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
Voiceflow: Does Voiceflow support HIPAA and GDPR compliance?

Yes, Voiceflow is used by healthcare and financial services organizations and offers HIPAA and GDPR compliance certifications for regulated customer interactions.

Source
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
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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