Machine Learning & Data Science · head to head
Google Vertex AI vs Orange

Google Vertex AI
Machine Learning & Data Science
Unified ML platform to build, deploy, and scale AI models
- From
- On request
- Rated
- -

Orange
Machine Learning & Data Science
Data mining and visualization toolkit
- From
- Free
- Rated
- -
The short version
- Only Orange has a free tier, so it costs nothing to try first.
- Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; 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: Google Vertex AI covers AutoML, Orange covers Visual programming.
Where they differ
Only the attributes on which Google Vertex AI and Orange actually diverge.
| Attribute | Google Vertex AI | Orange |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | Unknown | open-source |
| Free tier | No | Yes |
| Platforms | Cloud, Web | Linux, Mac, Windows |
| Founded | 2008 | 1996 |
Identical on both: 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 Google Vertex AI
- AutoML
- Custom training
- Feature Store
- Model monitoring
- Prediction serving
- BigQuery
- Cloud Storage
- TensorFlow
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.
Google Vertex AI
- Machine learningnot Orange
- Data analysisnot Orange
- Model trainingnot Orange
- Predictive analyticsnot Orange
Orange
- Visual programming for data mining and machine learning workflowsnot Google Vertex AI
- Teaching data science without writing codenot Google Vertex AI
- Exploratory data visualisation and clustering on tabular datanot Google Vertex AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Google Vertex AI
- Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- Requires familiarity with Google Cloud Platform infrastructure and concepts
- Cost can escalate quickly with large training and inference workloads
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
Google Vertex AI
On requestNo published plan breakdown. See the Google Vertex AI review.
Orange
Free- Open SourceFree
- Visual programming
- Machine learning
- Data visualization
Which should you pick?
Choose Google Vertex AI if
- You need automl.
- You work on Cloud, Web.
- You also want custom training.
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 Google Vertex AI or Orange better?
- Neither clearly leads. Google Vertex AI starts at On request and Orange at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Vertex AI or Orange?
- Orange has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for Orange.
- Does Google Vertex AI or Orange run on more platforms?
- Google Vertex AI runs on Cloud, Web. Orange runs on Linux, Mac, Windows.
- Can I use Orange for free?
- Yes. Orange has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
- What is Google Vertex AI best used for?
- Google Vertex AI is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Orange is typically brought in for.
- What can Google Vertex AI do that Orange cannot?
- Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Orange covers Visual programming, Data visualization, Machine learning, Text mining.
Answered from the vendors’ own pages
Google Vertex AI: What is the pricing model for Google Vertex AI?
Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.
SourceGoogle Vertex AI: What types of data can Vertex AI handle?
Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.
SourceGoogle Vertex AI: Does Vertex AI support custom model training?
Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.
SourceGoogle Vertex AI: What deployment options are available in Vertex AI?
Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.
SourceRelated pages
More on Google Vertex AI
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- Orange vs AWS SageMaker
- 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 Databricks
- Orange vs Dataiku
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