Software · head to head
KNIME vs Groq
Groq
Software
Fast inference provider using proprietary LPU hardware for low-latency serving
- From
- On request
- Rated
- -
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; Groq pricing is not published and is sold entirely by quote, making cost comparison difficult
Where they differ
Only the attributes on which KNIME and Groq actually diverge.
Identical on both: user rating (Not yet rated), category (Unknown).
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 Groq
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
- Building data pipelines and analytics workflows visually rather than in codenot Groq
- Connecting and blending data across many sources for analysisnot Groq
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
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
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
Pricing, plan by plan
KNIME
Free- Analytics PlatformFree
- Visual workflows
- All nodes
- Community extensions
- ServerFree
- Team collaboration
- Workflow automation
- REST API
Groq
On requestNo published plan breakdown. See the Groq 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.
Questions people ask
- Is KNIME or Groq better?
- Neither clearly leads. KNIME starts at Free and Groq at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, KNIME or Groq?
- KNIME has a free tier; the other does not. Paid plans start at Free for KNIME and On request for Groq.
- Does KNIME or Groq run on more platforms?
- KNIME runs on Linux, Mac, Windows. Groq runs on API, Cloud.
- 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 KNIME best used for?
- KNIME is most often used for building data pipelines and analytics workflows visually rather than in code, connecting and blending data across many sources for analysis. Of those, building data pipelines and analytics workflows visually rather than in code and connecting and blending data across many sources for analysis are not what Groq is typically brought in for.
- What can KNIME do that Groq cannot?
- KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization.