Machine Learning & Data Science · head to head
Dataiku vs Fibery

Dataiku
Machine Learning & Data Science
Everyday AI, Extraordinary People
- From
- Free
- Rated
- -
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; Fibery free plan limited to 10 users and 10 guests
- They diverge on capability: Dataiku covers Visual data prep, Fibery covers Customizable databases.
Where they differ
Only the attributes on which Dataiku and Fibery 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 Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
Only in Fibery
- Customizable databases
- Bi-directional linking
- Whiteboards
- Documents
- Timelines
- Formulas
- Automations
- API access
Both cover
- 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 Fibery
- Giving analysts and data scientists a shared visual and code environmentnot Fibery
Fibery
- Work management and product development platformnot Dataiku
- Relational database with multiple view types (table, board, gallery, timeline, calendar, Gantt)not Dataiku
- Knowledge base and document collaborationnot 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
Fibery
- Free plan limited to 10 users and 10 guests
- Free plan limited to 10 databases
- Enterprise plan requires minimum of 25 paid users
- SAML SSO available only on Enterprise plan
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Fibery
FreeNo published plan breakdown. See the Fibery review.
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 Fibery if
- You need customizable databases.
- You want to start without paying.
- You also want bi-directional linking.
Questions people ask
- Is Dataiku or Fibery better?
- Neither clearly leads. Dataiku starts at Free and Fibery at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or Fibery?
- Dataiku starts at Free and Fibery at Free.
- Does Dataiku or Fibery run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Fibery 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 Fibery is typically brought in for.
- What can Dataiku do that Fibery cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Fibery covers Customizable databases, Bi-directional linking, Whiteboards, Documents. Both handle Web support.
Related pages
Other head to heads
- Dataiku vs AWS SageMaker
- Dataiku vs Google Vertex AI
- Dataiku vs Azure Machine Learning
- Dataiku vs DataRobot
- Dataiku vs Snowflake
- Dataiku vs TensorFlow
- Dataiku vs Comet ML
- Dataiku vs Keras
- Dataiku vs MLflow
- Dataiku vs Jupyter
- Dataiku vs PyTorch
- Dataiku vs scikit-learn
- Dataiku vs Apache Spark MLlib
- Dataiku vs Weights & Biases
- Dataiku vs Alteryx
- Dataiku vs Anaconda
- Dataiku vs Databricks
- Dataiku vs DVC
- Dataiku vs Tableau
- Dataiku vs Looker
- Dataiku vs Metabase
- Dataiku vs Redash
- Dataiku vs Apache Superset
- Dataiku vs Baserow
- Dataiku vs Budibase
- Dataiku vs NocoDB
- Fibery vs AWS SageMaker
- Fibery vs Google Vertex AI
- Fibery vs Azure Machine Learning
- Fibery vs DataRobot
- Fibery vs Snowflake
- Fibery vs TensorFlow
- Fibery vs Comet ML
- Fibery vs Keras
- Fibery vs MLflow
- Fibery vs Jupyter
- Fibery vs PyTorch
- Fibery vs scikit-learn
- Fibery vs Apache Spark MLlib
- Fibery vs Weights & Biases
- Fibery vs Alteryx
- Fibery vs Anaconda
- Fibery vs Databricks
- Fibery vs DVC
- Fibery vs Tableau
- Fibery vs Looker
- Fibery vs Metabase
- Fibery vs Redash
- Fibery vs Apache Superset
- Fibery vs Baserow
- Fibery vs Budibase
- Fibery vs NocoDB

