Machine Learning · head to head
BigQuery ML vs CoreWeave
BigQuery ML
Machine Learning
Machine learning in BigQuery using SQL
- From
- Free
- Free plan
- Yes
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; CoreWeave gPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand
- They diverge on capability: BigQuery ML covers SQL-based ML, CoreWeave covers NVIDIA H100/A100.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and CoreWeave actually diverge.
| Attribute | BigQuery ML | CoreWeave |
|---|---|---|
| Starting price | Free | $0.35/per-hour |
| Free tier | Yes | No |
| Platforms | Web | Cloud |
| Category | Machine Learning | AI |
| Founded | 2008 | 2017 |
Identical on both: pricing model (usage-based), user rating (Not yet rated).
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 CoreWeave
- NVIDIA H100/A100
- Kubernetes native
- High bandwidth
- Object storage
- Kubernetes
- Terraform
- Cloud APIs
- Cloud 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 CoreWeave
- Linear and logistic regression on warehouse datanot CoreWeave
- K-means clustering and matrix factorisation for recommendationsnot CoreWeave
- Time series forecasting with ARIMA_PLUSnot CoreWeave
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot CoreWeave
CoreWeave
- Renting GPU compute for model training and inferencenot BigQuery ML
- Running large scale AI workloads without buying hardwarenot 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
CoreWeave
- GPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand
- Spot pricing is roughly 40% of on demand, at $19.71 an hour for the same H100 node, so predictable capacity carries a large premium
- The newest hardware carries no published price and requires contacting sales
- Discounts of up to 60% require committed usage agreements negotiated with sales
- Only the GH200 is offered as a single GPU instance
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
CoreWeave
$0.35/per-hour- Standard$0.35/per-hour
- Various GPU types
- Kubernetes
- EnterpriseFree
- Dedicated clusters
- Custom solutions
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 CoreWeave if
- You need nvidia h100/a100.
- You work on Cloud.
- You also want kubernetes native.
Questions people ask
- Is BigQuery ML or CoreWeave better?
- Neither clearly leads. BigQuery ML starts at Free and CoreWeave at $0.35/per-hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or CoreWeave?
- BigQuery ML has a free tier; the other does not. Paid plans start at Free for BigQuery ML and $0.35/per-hour for CoreWeave.
- Does BigQuery ML or CoreWeave run on more platforms?
- BigQuery ML runs on Web. CoreWeave runs on Cloud.
- Can I use BigQuery ML for free?
- Yes. BigQuery ML has a free tier, so you can try it without paying. CoreWeave starts at $0.35/per-hour.
- 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 CoreWeave is typically brought in for.
- What can BigQuery ML do that CoreWeave cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. CoreWeave covers NVIDIA H100/A100, Kubernetes native, High bandwidth, Object storage.
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.
SourceCoreWeave: How much does CoreWeave cost?
CoreWeave does not publish pricing on its website. The company uses a quote-based pricing model and directs customers to contact their sales team directly to discuss pricing options and customized solutions.
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.
SourceCoreWeave: How can I get a quote from CoreWeave?
To obtain CoreWeave pricing, you must contact their sales team directly through the Contact Us option on their website. They will provide a customized quote based on your specific compute and infrastructure requirements.
SourceRelated pages
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- CoreWeave vs Azure Machine Learning
- CoreWeave vs DataRobot
- CoreWeave vs Databricks
- CoreWeave vs SAS
- CoreWeave vs scikit-learn
- CoreWeave vs Snowflake
- CoreWeave vs Weka
- CoreWeave vs MATLAB
- CoreWeave vs Palantir Foundry
- CoreWeave vs Apache Spark MLlib
- CoreWeave vs ClearML
- CoreWeave vs Cohere
- CoreWeave vs Dask
- CoreWeave vs Groq
- CoreWeave vs Haystack
- CoreWeave vs IBM SPSS
- CoreWeave vs Amazon Redshift ML
- CoreWeave vs Anthropic API
- CoreWeave vs Pika
- CoreWeave vs D-ID
- CoreWeave vs Fathom
- CoreWeave vs Lambda Labs
- CoreWeave vs Modal
- CoreWeave vs RunPod
- CoreWeave vs Banana
- CoreWeave vs Replicate
- CoreWeave vs AI21 Labs
- CoreWeave vs Sourcegraph Cody
- CoreWeave vs Tabnine
- CoreWeave vs Aider
- CoreWeave vs Leonardo AI
- CoreWeave vs Murf
- CoreWeave vs Pi
- CoreWeave vs Play.ht