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Machine Learning · head to head

BigQuery ML vs Groq

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Rated
-
Full reviewWebsite
Groq logo

Groq

Machine Learning

Fast inference provider using proprietary LPU hardware for low-latency serving

From
On request
Rated
-
Full reviewWebsite

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
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery ML and Groq actually diverge.

Attributes where BigQuery ML and Groq differ
AttributeBigQuery MLGroq
Starting priceFreeOn request
Pricing modelusage-basedquote
Free tierYesNo
PlatformsWebAPI, Cloud
Founded2008Unknown

Identical on both: 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 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 request

No 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.
BigQuery ML review

Choose Groq if

  • You work on API, Cloud.
Groq review

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.

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.

Source
Groq: Is Groq free or paid?

Pricing details are not published on the main website. To explore Groq's service and pricing, visit their console at console.groq.com/home.

Source
BigQuery 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.

Source
Groq: Does Groq offer a free tier or free credits?

Free tier availability is not documented on the public site. Check the Groq console for current free tier or trial options.

Source
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