Software · head to head
KNIME vs Domino Data Lab
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; Domino Data Lab pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
- They diverge on capability: KNIME covers Visual workflows, Domino Data Lab covers Reproducible environments.
Where they differ
Only the attributes on which KNIME and Domino Data Lab actually diverge.
| Attribute | KNIME | Domino Data Lab |
|---|---|---|
| Pricing model | freemium | subscription |
| Platforms | Linux, Mac, Windows | Web |
| Founded | 2004 | 2013 |
Identical on both: starting price (Free), 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
- Python
- R
- Spark
Only in Domino Data Lab
- Reproducible environments
- Model registry
- Model monitoring
- Collaboration
- Governance
- AWS
- Azure
- GCP
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 Domino Data Lab
- Connecting and blending data across many sources for analysisnot Domino Data Lab
Domino Data Lab
- Running reproducible data science workspaces and experiments on shared computenot KNIME
- Deploying and monitoring models with governance controlsnot KNIME
- Giving regulated enterprises a self managed MLOps platformnot 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
Domino Data Lab
- Pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
- Licensing is split by user type, with separate data science professional, data analyst, service account and admin licences
- FinOps, Nexus and Governance are paid add on modules rather than part of the platform
- Support level is a separate priced choice
- Self managed VPC or on premises deployment requires the Premium tier or higher
- No free trial is offered on the pricing page
Pricing, plan by plan
KNIME
Free- Analytics PlatformFree
- Visual workflows
- All nodes
- Community extensions
- ServerFree
- Team collaboration
- Workflow automation
- REST API
Domino Data Lab
Free- TrialFree
- 14-day trial
- Full features
- EnterpriseFree
- Full platform
- Enterprise support
- SLA
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 Domino Data Lab if
- You need reproducible environments.
- You want to start without paying.
- You also want model registry.
Questions people ask
- Is KNIME or Domino Data Lab better?
- Neither clearly leads. KNIME starts at Free and Domino Data Lab at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, KNIME or Domino Data Lab?
- KNIME starts at Free and Domino Data Lab at Free.
- Does KNIME or Domino Data Lab run on more platforms?
- KNIME runs on Linux, Mac, Windows. Domino Data Lab runs on 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 Domino Data Lab is typically brought in for.
- What can KNIME do that Domino Data Lab cannot?
- KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. Domino Data Lab covers Reproducible environments, Model registry, Model monitoring, Collaboration.