Machine Learning & Data Science · head to head
Databricks vs Orange

Databricks
Machine Learning & Data Science
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -

Orange
Machine Learning & Data Science
Data mining and visualization toolkit
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; Orange orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL
- They diverge on capability: Databricks covers Delta Lake, Orange covers Visual programming.
Where they differ
Only the attributes on which Databricks and Orange actually diverge.
| Attribute | Databricks | Orange |
|---|---|---|
| Pricing model | usage-based | open-source |
| Platforms | Web, Aws, Azure, Gcp | Linux, Mac, Windows |
| Founded | 2013 | 1996 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
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 Databricks
- Delta Lake
- Apache Spark
- MLflow
- Unity Catalog
- Photon Engine
- Collaborative Notebooks
- Auto-scaling
- AWS
Only in Orange
- Visual programming
- Data visualization
- Machine learning
- Text mining
- Bioinformatics
- Python
- scikit-learn
- PyQt
What people use each for
The jobs each tool is most often brought in to do.
Databricks
- Running Spark data engineering pipelines on managed clustersnot Orange
- Building a lakehouse over data in cloud object storagenot Orange
- Training and serving machine learning models alongside the datanot Orange
Orange
- Visual programming for data mining and machine learning workflowsnot Databricks
- Teaching data science without writing codenot Databricks
- Exploratory data visualisation and clustering on tabular datanot Databricks
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Databricks
- Cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
- The free trial lasts 14 days
- Discounts require a Committed Use Contract, with larger commitments needed for larger discounts
- Azure Databricks pricing is set by Microsoft rather than by Databricks
- Security and compliance capabilities are sold as separate platform add ons rather than included in the base rate
Orange
- Orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL
- The widgets and canvas are built on Qt, which is itself distributed under GPL 3.0
- Orange add-ons may carry additional licensing requirements set in their own licence files
- Documentation and website content are under Creative Commons Attribution-ShareAlike, which imposes an attribution and share-alike obligation on reuse
- The software is distributed without any warranty of merchantability or fitness for a particular purpose
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Orange
Free- Open SourceFree
- Visual programming
- Machine learning
- Data visualization
Which should you pick?
Choose Databricks if
- You need delta lake.
- You want to start without paying.
- You work on Web, Aws, Azure, Gcp.
- You also want apache spark.
Choose Orange if
- You need visual programming.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data visualization.
Questions people ask
- Is Databricks or Orange better?
- Neither clearly leads. Databricks starts at Free and Orange at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Orange?
- Databricks starts at Free and Orange at Free.
- Does Databricks or Orange run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Orange runs on Linux, Mac, Windows.
- Can I use Databricks for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Databricks best used for?
- Databricks is most often used for running spark data engineering pipelines on managed clusters, building a lakehouse over data in cloud object storage, training and serving machine learning models alongside the data. Of those, running spark data engineering pipelines on managed clusters and building a lakehouse over data in cloud object storage are not what Orange is typically brought in for.
- What can Databricks do that Orange cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Orange covers Visual programming, Data visualization, Machine learning, Text mining.
Related pages
Other head to heads
- Databricks vs AWS SageMaker
- Databricks vs Google Vertex AI
- Databricks vs Azure Machine Learning
- Databricks vs DataRobot
- Databricks vs Snowflake
- Databricks vs TensorFlow
- Databricks vs Comet ML
- Databricks vs Keras
- Databricks vs MLflow
- Databricks vs Jupyter
- Databricks vs PyTorch
- Databricks vs scikit-learn
- Databricks vs Apache Spark MLlib
- Databricks vs Weights & Biases
- Databricks vs Alteryx
- Databricks vs Anaconda
- Databricks vs Dataiku
- Databricks vs DVC
- Orange vs AWS SageMaker
- Orange vs Google Vertex AI
- Orange vs Azure Machine Learning
- Orange vs DataRobot
- Orange vs Snowflake
- Orange vs TensorFlow
- Orange vs Comet ML
- Orange vs Keras
- Orange vs MLflow
- Orange vs Jupyter
- Orange vs PyTorch
- Orange vs scikit-learn
- Orange vs Apache Spark MLlib
- Orange vs Weights & Biases
- Orange vs Alteryx
- Orange vs Anaconda
- Orange vs Dataiku
- Orange vs DVC
