Software · head to head
BigQuery ML vs Groq
Groq
Software
Fast inference provider using proprietary LPU hardware for low-latency serving
- 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; Groq pricing is not published and is sold entirely by quote, making cost comparison difficult
Where they differ
Only the attributes on which BigQuery ML and Groq actually diverge.
| Attribute | BigQuery ML | Groq |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | quote |
| Free tier | Yes | No |
| Platforms | Web | API, Cloud |
| Founded | 2008 | Unknown |
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 BigQuery ML
- SQL-based ML
- AutoML Tables
- Model export
- Prediction functions
- Feature preprocessing
- BigQuery
- Vertex AI
- TensorFlow
Only in Groq
Nothing recorded that BigQuery ML does not also cover.
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 Groq
- Linear and logistic regression on warehouse datanot Groq
- K-means clustering and matrix factorisation for recommendationsnot Groq
- Time series forecasting with ARIMA_PLUSnot Groq
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Groq
Groq
- Latency-sensitive applications requiring sub-second inference response timesnot BigQuery ML
- High-volume inference workloads where cost per inference matters at scalenot BigQuery ML
- Custom model deployment with performance guaranteesnot BigQuery ML
- Enterprise applications seeking inference-specific infrastructurenot 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
Groq
- Pricing is not published and is sold entirely by quote, making cost comparison difficult
- Limited to open-weight models; no proprietary model access through the platform
- Not widely integrated into third-party AI platforms compared to OpenAI or Anthropic
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Groq
On requestNo published plan breakdown. See the Groq review.
Which should you pick?
Choose BigQuery ML if
- You need sql-based ml.
- You want to start without paying.
- You also want automl tables.
Questions people ask
- Is BigQuery ML or Groq better?
- Neither clearly leads. BigQuery ML starts at Free and Groq at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or Groq?
- BigQuery ML has a free tier; the other does not. Paid plans start at Free for BigQuery ML and On request for Groq.
- Does BigQuery ML or Groq run on more platforms?
- BigQuery ML runs on Web. Groq runs on API, Cloud.
- Can I use BigQuery ML for free?
- Yes. BigQuery ML has a free tier, so you can try it without paying. Groq 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 Groq is typically brought in for.
- What can BigQuery ML do that Groq cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions.
Related pages
More on BigQuery ML
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