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

Google Vertex AI
Machine Learning & Data Science
Unified ML platform to build, deploy, and scale AI models
- From
- On request
- Rated
- -
RapidMiner
Machine Learning & Data Science
Data science platform for business teams
- From
- Free
- Rated
- -
The short version
- Only RapidMiner 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; RapidMiner rapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too
- They diverge on capability: Google Vertex AI covers Custom training, RapidMiner covers Visual workflows.
Where they differ
Only the attributes on which Google Vertex AI and RapidMiner actually diverge.
| Attribute | Google Vertex AI | RapidMiner |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | Unknown | freemium |
| Free tier | No | Yes |
| Platforms | Cloud, Web | Linux, Mac, Windows, Web |
| Founded | 2008 | 2007 |
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
- Custom training
- Feature Store
- Model monitoring
- Prediction serving
- BigQuery
- Cloud Storage
- TensorFlow
- PyTorch
Only in RapidMiner
- Visual workflows
- Data preparation
- Model deployment
- Text mining
- Python
- R
- Spark
- Hadoop
Both cover
- AutoML
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Google Vertex AI
- Machine learningnot RapidMiner
- Data analysisnot RapidMiner
- Model trainingnot RapidMiner
- Predictive analyticsnot RapidMiner
RapidMiner
- Visual drag and drop machine learning model buildingnot Google Vertex AI
- Data preparation and cleansing before modellingnot Google Vertex AI
- Deploying and scoring predictive models in an enterprise settingnot 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
RapidMiner
- RapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too
- Pricing is by quote only: the product page publishes no rate, no licensing unit and no minimum, offering only a Contact us button
- The product is now one component of a six product portfolio alongside Graph Studio, SLC, Monarch, Panopticon and Knowledge Studio
Pricing, plan by plan
Google Vertex AI
On requestNo published plan breakdown. See the Google Vertex AI review.
RapidMiner
Free- FreeFree
- 10,000 data rows
- 1 logical processor
- ProfessionalFree
- Unlimited data
- Full features
- Support
Which should you pick?
Choose Google Vertex AI if
- You need custom training.
- You work on Cloud, Web.
- You also want feature store.
Choose RapidMiner if
- You need visual workflows.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want data preparation.
Questions people ask
- Is Google Vertex AI or RapidMiner better?
- Neither clearly leads. Google Vertex AI starts at On request and RapidMiner at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Vertex AI or RapidMiner?
- RapidMiner has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for RapidMiner.
- Does Google Vertex AI or RapidMiner run on more platforms?
- Google Vertex AI runs on Cloud, Web. RapidMiner runs on Linux, Mac, Windows, Web.
- Can I use RapidMiner for free?
- Yes. RapidMiner 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 RapidMiner is typically brought in for.
- What can Google Vertex AI do that RapidMiner cannot?
- Google Vertex AI covers Custom training, Feature Store, Model monitoring, Prediction serving. RapidMiner covers Visual workflows, Data preparation, Model deployment, Text mining. Both handle AutoML, Web support.
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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