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Machine Learning · head to head

Groq vs KNIME

Groq logo

Groq

Machine Learning

Fast inference provider using proprietary LPU hardware for low-latency serving

From
On request
Rated
-
Full reviewWebsite
KNIME logo

KNIME

Machine Learning

Open source data analytics and integration platform

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only KNIME has a free tier, so it costs nothing to try first.
  • Each has a real cost: Groq pricing is not published and is sold entirely by quote, making cost comparison difficult; KNIME the free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Groq and KNIME actually diverge.

Attributes where Groq and KNIME differ
AttributeGroqKNIME
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsAPI, CloudLinux, Mac, Windows
FoundedUnknown2004

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 Groq

Nothing recorded that KNIME does not also cover.

Only in KNIME

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

What people use each for

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

Groq

  • Latency-sensitive applications requiring sub-second inference response timesnot KNIME
  • High-volume inference workloads where cost per inference matters at scalenot KNIME
  • Custom model deployment with performance guaranteesnot KNIME
  • Enterprise applications seeking inference-specific infrastructurenot KNIME

KNIME

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

Where each one falls short

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

Groq

  • Pricing is not published and is sold entirely by quote, making cost comparison difficult
  • Limited to open-weight models; no proprietary model access through the platform
  • Not widely integrated into third-party AI platforms compared to OpenAI or Anthropic

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

Pricing, plan by plan

Groq

On request

No published plan breakdown. See the Groq review.

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

Which should you pick?

Choose Groq if

  • You work on API, Cloud.
Groq review

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

Questions people ask

Is Groq or KNIME better?
Neither clearly leads. Groq starts at On request and KNIME at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Groq or KNIME?
KNIME has a free tier; the other does not. Paid plans start at On request for Groq and Free for KNIME.
Does Groq or KNIME run on more platforms?
Groq runs on API, Cloud. KNIME runs on Linux, Mac, Windows.
Can I use KNIME for free?
Yes. KNIME has a free tier, so you can try it without paying. Groq starts at On request.
What is Groq best used for?
Groq is most often used for latency-sensitive applications requiring sub-second inference response times, high-volume inference workloads where cost per inference matters at scale, custom model deployment with performance guarantees, enterprise applications seeking inference-specific infrastructure. Of those, latency-sensitive applications requiring sub-second inference response times and high-volume inference workloads where cost per inference matters at scale are not what KNIME is typically brought in for.
What can Groq do that KNIME cannot?
KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization.

Answered from the vendors’ own pages

Groq: Is Groq free or paid?

Pricing details are not published on the main website. To explore Groq's service and pricing, visit their console at console.groq.com/home.

Source
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
Groq: Does Groq offer a free tier or free credits?

Free tier availability is not documented on the public site. Check the Groq console for current free tier or trial options.

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
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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