Software · head to head
KNIME vs Dataiku
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; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
- They diverge on capability: KNIME covers Visual workflows, Dataiku covers Visual data prep.
Where they differ
Only the attributes on which KNIME and Dataiku actually diverge.
Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), 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
- H2O
- TensorFlow
Only in Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Snowflake
- Databricks
- Web support
Both cover
- Python
- R
- Spark
- Linux support
- Mac support
- Windows support
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 Dataiku
- Connecting and blending data across many sources for analysisnot Dataiku
Dataiku
- Building and deploying data science and machine learning pipelinesnot KNIME
- Giving analysts and data scientists a shared visual and code environmentnot 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
Dataiku
- No pricing is published at any tier, and the plans page carries no figures at all
- User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
- Access begins with a demo request or a trial rather than a self serve signup
Pricing, plan by plan
KNIME
Free- Analytics PlatformFree
- Visual workflows
- All nodes
- Community extensions
- ServerFree
- Team collaboration
- Workflow automation
- REST API
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
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 Dataiku if
- You need visual data prep.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want automl.
Questions people ask
- Is KNIME or Dataiku better?
- Neither clearly leads. KNIME starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, KNIME or Dataiku?
- KNIME starts at Free and Dataiku at Free.
- Does KNIME or Dataiku run on more platforms?
- KNIME runs on Linux, Mac, Windows. Dataiku runs on Linux, Mac, Windows, 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 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 Dataiku is typically brought in for.
- What can KNIME do that Dataiku cannot?
- KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Both handle Python, R, Spark, Linux support.