Software · head to head
Dataiku vs Domino Data Lab
The short version
- Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; 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: Dataiku covers Visual data prep, Domino Data Lab covers Reproducible environments.
Where they differ
Only the attributes on which Dataiku and Domino Data Lab actually diverge.
| Attribute | Dataiku | Domino Data Lab |
|---|---|---|
| Pricing model | freemium | subscription |
| Platforms | Linux, Mac, Windows, Web | Web |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown), founded (2013).
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 Dataiku
- Visual data prep
- AutoML
- MLOps
- Governence
- Python
- R
- Spark
- Snowflake
Only in Domino Data Lab
- Reproducible environments
- Model registry
- Model monitoring
- Governance
- AWS
- Azure
- GCP
- Kubernetes
Both cover
- Collaboration
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Dataiku
- Building and deploying data science and machine learning pipelinesnot Domino Data Lab
- Giving analysts and data scientists a shared visual and code environmentnot Domino Data Lab
Domino Data Lab
- Running reproducible data science workspaces and experiments on shared computenot Dataiku
- Deploying and monitoring models with governance controlsnot Dataiku
- Giving regulated enterprises a self managed MLOps platformnot Dataiku
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Domino Data Lab
Free- TrialFree
- 14-day trial
- Full features
- EnterpriseFree
- Full platform
- Enterprise support
- SLA
Which should you pick?
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.
Choose Domino Data Lab if
- You need reproducible environments.
- You want to start without paying.
- You also want model registry.
Questions people ask
- Is Dataiku or Domino Data Lab better?
- Neither clearly leads. Dataiku 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, Dataiku or Domino Data Lab?
- Dataiku starts at Free and Domino Data Lab at Free.
- Does Dataiku or Domino Data Lab run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Domino Data Lab runs on Web.
- Can I use Dataiku for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Dataiku best used for?
- Dataiku is most often used for building and deploying data science and machine learning pipelines, giving analysts and data scientists a shared visual and code environment. Of those, building and deploying data science and machine learning pipelines and giving analysts and data scientists a shared visual and code environment are not what Domino Data Lab is typically brought in for.
- What can Dataiku do that Domino Data Lab cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Governence. Domino Data Lab covers Reproducible environments, Model registry, Model monitoring, Governance. Both handle Collaboration, Web support.