Software · head to head
Dataiku vs BigQuery ML
The short version
- Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it
- They diverge on capability: Dataiku covers Visual data prep, BigQuery ML covers SQL-based ML.
Where they differ
Only the attributes on which Dataiku and BigQuery ML actually diverge.
| Attribute | Dataiku | BigQuery ML |
|---|---|---|
| Pricing model | freemium | usage-based |
| Platforms | Linux, Mac, Windows, Web | Web |
| Founded | 2013 | 2008 |
Identical on both: starting price (Free), free tier (Yes), 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
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
Only in BigQuery ML
- SQL-based ML
- AutoML Tables
- Model export
- Prediction functions
- Feature preprocessing
- BigQuery
- Vertex AI
- TensorFlow
Both cover
- 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 BigQuery ML
- Giving analysts and data scientists a shared visual and code environmentnot BigQuery ML
BigQuery ML
- Training models in SQL without exporting datanot Dataiku
- Linear and logistic regression on warehouse datanot Dataiku
- K-means clustering and matrix factorisation for recommendationsnot Dataiku
- Time series forecasting with ARIMA_PLUSnot Dataiku
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot 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
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
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
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 Dataiku if
- You need visual data prep.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want automl.
Choose BigQuery ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl tables.
Questions people ask
- Is Dataiku or BigQuery ML better?
- Neither clearly leads. Dataiku 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, Dataiku or BigQuery ML?
- Dataiku starts at Free and BigQuery ML at Free.
- Does Dataiku or BigQuery ML run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. BigQuery ML runs on Web.
- Can I use Dataiku for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 BigQuery ML is typically brought in for.
- What can Dataiku do that BigQuery ML cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Both handle Web support.