Software · head to head
Dataiku vs Google Vertex AI
Google Vertex AI
Software
Unified ML platform to build, deploy, and scale AI models
- From
- On request
- Rated
- -
The short version
- Only Dataiku has a free tier, so it costs nothing to try first.
- Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- They diverge on capability: Dataiku covers Visual data prep, Google Vertex AI covers Custom training.
Where they differ
Only the attributes on which Dataiku and Google Vertex AI actually diverge.
| Attribute | Dataiku | Google Vertex AI |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | freemium | Unknown |
| Free tier | Yes | No |
| Platforms | Linux, Mac, Windows, Web | Cloud, Web |
| Founded | 2013 | 2008 |
Identical on both: user rating (Not yet rated), category (Unknown).
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
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
- Snowflake
Only in Google Vertex AI
- Custom training
- Feature Store
- Model monitoring
- Prediction serving
- BigQuery
- Cloud Storage
- TensorFlow
- PyTorch
Both cover
- AutoML
- 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 Google Vertex AI
- Giving analysts and data scientists a shared visual and code environmentnot Google Vertex AI
Google Vertex AI
- Machine learningnot Dataiku
- Data analysisnot Dataiku
- Model trainingnot Dataiku
- Predictive analyticsnot 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
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
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Google Vertex AI
On requestNo published plan breakdown. See the Google Vertex AI 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 mlops.
Choose Google Vertex AI if
- You need custom training.
- You work on Cloud, Web.
- You also want feature store.
Questions people ask
- Is Dataiku or Google Vertex AI better?
- Neither clearly leads. Dataiku starts at Free and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or Google Vertex AI?
- Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and On request for Google Vertex AI.
- Does Dataiku or Google Vertex AI run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Google Vertex AI runs on Cloud, Web.
- Can I use Dataiku for free?
- Yes. Dataiku has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
- 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 Google Vertex AI is typically brought in for.
- What can Dataiku do that Google Vertex AI cannot?
- Dataiku covers Visual data prep, MLOps, Collaboration, Governence. Google Vertex AI covers Custom training, Feature Store, Model monitoring, Prediction serving. 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.
Source