Machine Learning & Data Science · head to head
Orange vs BigQuery ML
Orange
Machine Learning & Data Science
Data mining and visualization toolkit
- From
- Free
- Rated
- -
BigQuery ML
Machine Learning & Data Science
Machine learning in BigQuery using SQL
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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; BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it
- They diverge on capability: Orange covers Visual programming, BigQuery ML covers SQL-based ML.
Where they differ
Only the attributes on which Orange and BigQuery ML actually diverge.
| Attribute | Orange | BigQuery ML |
|---|---|---|
| Pricing model | open-source | usage-based |
| Platforms | Linux, Mac, Windows | Web |
| Founded | 1996 | 2008 |
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 Orange
- Visual programming
- Data visualization
- Machine learning
- Text mining
- Bioinformatics
- Python
- scikit-learn
- PyQt
Only in BigQuery ML
- SQL-based ML
- AutoML Tables
- Model export
- Prediction functions
- Feature preprocessing
- BigQuery
- Vertex AI
- TensorFlow
What people use each for
The jobs each tool is most often brought in to do.
Orange
- Visual programming for data mining and machine learning workflowsnot BigQuery ML
- Teaching data science without writing codenot BigQuery ML
- Exploratory data visualisation and clustering on tabular datanot BigQuery ML
BigQuery ML
- Training models in SQL without exporting datanot Orange
- Linear and logistic regression on warehouse datanot Orange
- K-means clustering and matrix factorisation for recommendationsnot Orange
- Time series forecasting with ARIMA_PLUSnot Orange
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Orange
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
BigQuery ML
- Not available in BigQuery's Standard edition, so the cheapest tier cannot use it
- Billed through BigQuery compute and storage rather than as its own product, so training cost tracks data scanned
- Remote models incur extra Agent Platform charges on top
- Externally trained model types such as boosted trees and AutoML run through Agent Platform rather than inside BigQuery
Pricing, plan by plan
Orange
Free- Open SourceFree
- Visual programming
- Machine learning
- Data visualization
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Which should you pick?
Choose Orange if
- You need visual programming.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data visualization.
Choose BigQuery ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl tables.
Questions people ask
- Is Orange or BigQuery ML better?
- Neither clearly leads. Orange starts at Free and BigQuery ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Orange or BigQuery ML?
- Orange starts at Free and BigQuery ML at Free.
- Does Orange or BigQuery ML run on more platforms?
- Orange runs on Linux, Mac, Windows. BigQuery ML runs on Web.
- Can I use Orange for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Orange best used for?
- Orange is most often used for visual programming for data mining and machine learning workflows, teaching data science without writing code, exploratory data visualisation and clustering on tabular data. Of those, visual programming for data mining and machine learning workflows and teaching data science without writing code are not what BigQuery ML is typically brought in for.
- What can Orange do that BigQuery ML cannot?
- Orange covers Visual programming, Data visualization, Machine learning, Text mining. BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions.