Machine Learning · head to head
KNIME vs Lightdash

KNIME
Machine Learning
Open source data analytics and integration platform
- From
- Free
- Rated
- -
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; Lightdash requires existing dbt infrastructure, not suitable for teams without data models
- They diverge on capability: KNIME covers Visual workflows, Lightdash covers dbt Integration.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which KNIME and Lightdash actually diverge.
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 KNIME
- Visual workflows
- Data preprocessing
- Machine learning
- Visualization
- Reporting
- Python
- R
- Spark
Only in Lightdash
- dbt Integration
- Metrics Layer
- Dashboards
- Scheduling
- Version Control
- dbt
- BigQuery
- Snowflake
What people use each for
The jobs each tool is most often brought in to do.
KNIME
- Data science and machine learning workflowsnot Lightdash
- ETL and data pipeline automationnot Lightdash
- Predictive analytics and modelingnot Lightdash
Lightdash
- Self-service analyticsnot KNIME
- Data explorationnot KNIME
- Ad-hoc reportingnot KNIME
- Collaborative analysisnot KNIME
- Embedded analyticsnot 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
Lightdash
- Requires existing dbt infrastructure, not suitable for teams without data models
- Enterprise features and AI agents unavailable in open-source MIT-licensed core
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
Lightdash
Free- Open SourceFree
- MIT-licensed core
- Self-hostable
- dbt integration
- Cloud Managed$undefined/mo
- Managed hosting
- Premium features
- AI agent capabilities
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 Lightdash if
- You need dbt integration.
- You want to start without paying.
- You work on Web, Cloud (managed), Self-hosted (on-premise).
- You also want metrics layer.
Questions people ask
- Is KNIME or Lightdash better?
- Neither clearly leads. KNIME starts at Free and Lightdash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, KNIME or Lightdash?
- KNIME starts at Free and Lightdash at Free.
- Does KNIME or Lightdash run on more platforms?
- KNIME runs on Linux, Mac, Windows. Lightdash runs on Web, Cloud (managed), Self-hosted (on-premise).
- 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 Lightdash is typically brought in for.
- What can KNIME do that Lightdash cannot?
- KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. Lightdash covers dbt Integration, Metrics Layer, Dashboards, Scheduling.
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.
SourceLightdash: Is Lightdash free?
Yes. Lightdash is free and open source under the MIT license. Self-hosting is completely free. Managed cloud services and enterprise features require separate licensing.
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.
SourceLightdash: How does Lightdash integrate with dbt?
Lightdash reads dbt models and metric definitions directly. A team defines metrics once in dbt and reuses them across dashboards, exploration, and AI agents without redefinition.
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.
SourceLightdash: Does Lightdash support SQL queries?
Yes. As a modern BI platform for analysts, Lightdash supports full SQL capabilities alongside dbt model exploration and visual query builders.
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.
SourceLightdash: What are Lightdash AI agents?
Lightdash AI agents, available on paid plans, allow natural language queries against your data, generating SQL and visualizations automatically from questions.
SourceLightdash: Can Lightdash be self-hosted?
Yes. Lightdash's MIT-licensed core is completely self-hostable and free. Enterprise features and AI agents ship under separate licensing.
SourceRelated pages
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- Lightdash vs RapidMiner
- Lightdash vs Dataiku
- Lightdash vs Alteryx
- Lightdash vs Orange
- Lightdash vs Jupyter
- Lightdash vs Python
- Lightdash vs ClearML
- Lightdash vs Ollama
- Lightdash vs OpenRouter
- Lightdash vs Pachyderm
- Lightdash vs Ray
- Lightdash vs Rill Data
- Lightdash vs Zenlytic
- Lightdash vs Power BI
- Lightdash vs Klipfolio
- Lightdash vs Domo
- Lightdash vs ThoughtSpot
- Lightdash vs Exa
- Lightdash vs Grow
- Lightdash vs Holistics
- Lightdash vs Logi Analytics
- Lightdash vs Sisense
- Lightdash vs Amazon QuickSight
- Lightdash vs Dundas BI
- Lightdash vs Fabi
- Lightdash vs Geckoboard
- Lightdash vs Glassbox
- Lightdash vs Glean

