Software · head to head
Alteryx vs BigQuery ML
The short version
- Each has a real cost: Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only; BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it
- They diverge on capability: Alteryx covers Data preparation, BigQuery ML covers SQL-based ML.
Where they differ
Only the attributes on which Alteryx and BigQuery ML actually diverge.
| Attribute | Alteryx | BigQuery ML |
|---|---|---|
| Pricing model | subscription | usage-based |
| Platforms | Windows, Web | Web |
| Founded | 1997 | 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 Alteryx
- Data preparation
- Data blending
- Predictive analytics
- Spatial analytics
- Reporting
- Python
- R
- Snowflake
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.
Alteryx
- Data preparation and building AI-ready datasetsnot BigQuery ML
- Predictive analytics without writing codenot BigQuery ML
- Automating and orchestrating repeatable analytics workflowsnot BigQuery ML
- Enterprise reporting with governed, reusable logicnot BigQuery ML
- Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot BigQuery ML
BigQuery ML
- Training models in SQL without exporting datanot Alteryx
- Linear and logistic regression on warehouse datanot Alteryx
- K-means clustering and matrix factorisation for recommendationsnot Alteryx
- Time series forecasting with ARIMA_PLUSnot Alteryx
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Alteryx
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Alteryx
- Starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
- Automation runs are metered, with 50 included on Starter and 15,000 on Professional, and more must be bought
- Cost depends on three separate dimensions at once: edition, user role and automation capacity
- Advanced analytics, governance and orchestration are withheld from the entry edition
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
Alteryx
Free- TrialFree
- 14-day trial
- Full features
- Designer Desktop$5195/year
- Data prep
- Blending
- Analytics
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 Alteryx if
- You need data preparation.
- You want to start without paying.
- You work on Windows, Web.
- You also want data blending.
Choose BigQuery ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl tables.
Questions people ask
- Is Alteryx or BigQuery ML better?
- Neither clearly leads. Alteryx 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, Alteryx or BigQuery ML?
- Alteryx starts at Free and BigQuery ML at Free.
- Does Alteryx or BigQuery ML run on more platforms?
- Alteryx runs on Windows, Web. BigQuery ML runs on Web.
- Can I use Alteryx for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Alteryx best used for?
- Alteryx is most often used for data preparation and building ai-ready datasets, predictive analytics without writing code, automating and orchestrating repeatable analytics workflows, enterprise reporting with governed, reusable logic. Of those, data preparation and building ai-ready datasets and predictive analytics without writing code are not what BigQuery ML is typically brought in for.
- What can Alteryx do that BigQuery ML cannot?
- Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Both handle Web support.
Related pages
More on BigQuery ML
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