Machine Learning · head to head
BigQuery ML vs Palantir Foundry
Palantir Foundry
Machine Learning
Operating system for modern enterprise
- From
- On request
- Rated
- -
The short version
- Only BigQuery ML has a free tier, so it costs nothing to try first.
- Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Palantir Foundry custom pricing model with no public information makes budgeting difficult
- They diverge on capability: BigQuery ML covers SQL-based ML, Palantir Foundry covers Data integration.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and Palantir Foundry actually diverge.
| Attribute | BigQuery ML | Palantir Foundry |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Founded | 2008 | 2003 |
Identical on both: platforms (Web), user rating (Not yet rated), category (Machine Learning).
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 BigQuery ML
- SQL-based ML
- AutoML Tables
- Model export
- Prediction functions
- Feature preprocessing
- BigQuery
- Vertex AI
- TensorFlow
Only in Palantir Foundry
- Data integration
- Ontology modeling
- Pipeline builder
- Operational analytics
- Governance
- Enterprise systems
- Cloud platforms
- IoT
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
BigQuery ML
- Training models in SQL without exporting datanot Palantir Foundry
- Linear and logistic regression on warehouse datanot Palantir Foundry
- K-means clustering and matrix factorisation for recommendationsnot Palantir Foundry
- Time series forecasting with ARIMA_PLUSnot Palantir Foundry
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Palantir Foundry
Palantir Foundry
- Machine learningnot BigQuery ML
- Data analysisnot BigQuery ML
- Model trainingnot BigQuery ML
- Predictive analyticsnot BigQuery ML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Palantir Foundry
- Custom pricing model with no public information makes budgeting difficult
- Steep implementation and configuration requirements
- Requires significant technical expertise to operate effectively
- Long sales cycle typical for enterprise software
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Palantir Foundry
On request- EnterpriseFree
- Full platform
- Custom deployment
- Enterprise support
Which should you pick?
Choose BigQuery ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl tables.
Choose Palantir Foundry if
- You need data integration.
- You also want ontology modeling.
Questions people ask
- Is BigQuery ML or Palantir Foundry better?
- Neither clearly leads. BigQuery ML starts at Free and Palantir Foundry at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or Palantir Foundry?
- BigQuery ML has a free tier; the other does not. Paid plans start at Free for BigQuery ML and On request for Palantir Foundry.
- Does BigQuery ML or Palantir Foundry run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- Can I use BigQuery ML for free?
- Yes. BigQuery ML has a free tier, so you can try it without paying. Palantir Foundry starts at On request.
- What is BigQuery ML best used for?
- BigQuery ML is most often used for training models in sql without exporting data, linear and logistic regression on warehouse data, k-means clustering and matrix factorisation for recommendations, time series forecasting with arima_plus. Of those, training models in sql without exporting data and linear and logistic regression on warehouse data are not what Palantir Foundry is typically brought in for.
- What can BigQuery ML do that Palantir Foundry cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Palantir Foundry covers Data integration, Ontology modeling, Pipeline builder, Operational analytics. Both handle Web support.
Answered from the vendors’ own pages
BigQuery ML: How much does Google Cloud BigQuery ML cost?
BigQuery ML pricing is not specified separately on Google Cloud's pricing page. It follows the same pay-as-you-go model as BigQuery, charging per terabyte of data scanned during analysis. Customers receive $300 in free credits and can use 20+ products free up to monthly limits.
SourcePalantir Foundry: What is Palantir Foundry designed for?
Palantir Foundry is an enterprise data integration and analytics platform supporting end-to-end data pipelines, covering ingestion, processing, pipeline building, monitoring, and creating analytics dashboards with both code and no-code tools.
SourceBigQuery ML: Does Google Cloud offer a free trial?
Yes, new customers get $300 in free credits and all customers can use 20+ Google Cloud products free up to their monthly usage limits.
SourcePalantir Foundry: How much does Palantir Foundry cost?
Palantir Foundry uses custom pricing. No public list pricing is available. Enterprise customers and government agencies must contact Palantir directly for formal quotes and licensing terms.
SourcePalantir Foundry: Who uses Palantir Foundry?
Palantir Foundry serves enterprise and government organizations needing complex data integration, analytics, and operational intelligence across large-scale data environments.
SourceRelated pages
More on BigQuery ML
More on Palantir Foundry
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