Spreadsheets · head to head
Apache Superset vs KNIME

Apache Superset
Spreadsheets
Modern data exploration and visualization platform
- From
- Free
- Rated
- -

KNIME
Machine Learning
Open source data analytics and integration platform
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Superset no commercial pricing; open-source project; KNIME the free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub
- They diverge on capability: Apache Superset covers 40+ Visualizations, KNIME covers Visual workflows.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Superset and KNIME actually diverge.
| Attribute | Apache Superset | KNIME |
|---|---|---|
| Pricing model | open-source | freemium |
| Platforms | Web, Self-hosted, Docker | Linux, Mac, Windows |
| Category | Spreadsheets | Machine Learning |
| Founded | 1999 | 2004 |
Identical on both: starting price (Free), 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 Apache Superset
- 40+ Visualizations
- SQL IDE
- Semantic Layer
- Caching
- Security
- PostgreSQL
- MySQL
- Presto
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.
Apache Superset
- Self-service analyticsnot KNIME
- Data explorationnot KNIME
- Ad-hoc reportingnot KNIME
- Collaborative analysisnot KNIME
- Embedded analyticsnot KNIME
KNIME
- Data science and machine learning workflowsnot Apache Superset
- ETL and data pipeline automationnot Apache Superset
- Predictive analytics and modelingnot Apache Superset
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Superset
- No commercial pricing; open-source project
- Commercial hosting available via Preset.io (separate vendor)
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
Apache Superset
Free- Open SourceFree
- Full Features
- Self-hosted
- Community Support
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 Apache Superset if
- You need 40+ visualizations.
- You want to start without paying.
- You work on Web, Self-hosted, Docker.
- You also want sql ide.
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 Apache Superset or KNIME better?
- Neither clearly leads. Apache Superset starts at Free and KNIME at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Superset or KNIME?
- Apache Superset starts at Free and KNIME at Free.
- Does Apache Superset or KNIME run on more platforms?
- Apache Superset runs on Web, Self-hosted, Docker. KNIME runs on Linux, Mac, Windows.
- Can I use Apache Superset for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Superset best used for?
- Apache Superset is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what KNIME is typically brought in for.
- What can Apache Superset do that KNIME cannot?
- Apache Superset covers 40+ Visualizations, SQL IDE, Semantic Layer, Caching. KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization.
Answered from the vendors’ own pages
Apache Superset: What does Apache Superset cost?
Apache Superset is open-source software available free under the Apache 2.0 license. There are no licensing costs, subscription fees, or per-seat charges for using Superset itself.
SourceKNIME: Is KNIME free?
Yes, KNIME Analytics Platform is free with 300+ data sources, unlimited local processing, and 20 K-AI assistant interactions per month.
SourceApache Superset: Is there a paid version of Apache Superset?
Apache Superset itself is free and open-source. Preset.io offers commercial Superset hosting with premium support, but this is a separate vendor service, not an official paid tier of Superset.
SourceKNIME: 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.
SourceKNIME: 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.
SourceKNIME: 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.
SourceRelated pages
More on Apache Superset
Other head to heads
- Apache Superset vs Metabase
- Apache Superset vs Tableau
- Apache Superset vs Looker
- Apache Superset vs Redash
- Apache Superset vs Equals
- Apache Superset vs Sigma Computing
- Apache Superset vs Fibery
- Apache Superset vs Baserow
- Apache Superset vs NocoDB
- Apache Superset vs Budibase
- Apache Superset vs Google Sheets
- Apache Superset vs Numbers
- Apache Superset vs SeaTable
- Apache Superset vs Teable
- Apache Superset vs APITable
- Apache Superset vs Coefficient
- Apache Superset vs Cube Software
- Apache Superset vs Anaconda
- Apache Superset vs AWS SageMaker
- Apache Superset vs Google Vertex AI
- Apache Superset vs Azure Machine Learning
- Apache Superset vs DataRobot
- Apache Superset vs RapidMiner
- Apache Superset vs Dataiku
- Apache Superset vs Alteryx
- Apache Superset vs Orange
- Apache Superset vs Jupyter
- Apache Superset vs Python
- Apache Superset vs ClearML
- Apache Superset vs Ollama
- Apache Superset vs OpenRouter
- Apache Superset vs Pachyderm
- Apache Superset vs Ray
- KNIME vs Metabase
- KNIME vs Tableau
- KNIME vs Looker
- KNIME vs Redash
- KNIME vs Equals
- KNIME vs Sigma Computing
- KNIME vs Fibery
- KNIME vs Baserow
- KNIME vs NocoDB
- KNIME vs Budibase
- KNIME vs Google Sheets
- KNIME vs Numbers
- KNIME vs SeaTable
- KNIME vs Teable
- KNIME vs APITable
- KNIME vs Coefficient
- KNIME vs Cube Software
- KNIME vs Anaconda
- KNIME vs AWS SageMaker
- KNIME vs Google Vertex AI
- KNIME vs Azure Machine Learning
- KNIME vs DataRobot
- KNIME vs RapidMiner
- KNIME vs Dataiku
- KNIME vs Alteryx
- KNIME vs Orange
- KNIME vs Jupyter
- KNIME vs Python
- KNIME vs ClearML
- KNIME vs Ollama
- KNIME vs OpenRouter
- KNIME vs Pachyderm
- KNIME vs Ray
