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Machine Learning · head to head

BigQuery ML vs QuillBot

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Free plan
Yes
QuillBot logo

QuillBot

AI

AI paraphrasing and writing tool

From
Free
Free plan
Yes

The short version

  • Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; QuillBot free tier limited to 125-word paraphrases with only 2 modes
  • They diverge on capability: BigQuery ML covers SQL-based ML, QuillBot covers Paraphrasing.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where BigQuery ML and QuillBot differ
AttributeBigQuery MLQuillBot
Pricing modelusage-basedfreemium
CategoryMachine LearningAI
Founded20082017

Identical on both: starting price (Free), free tier (Yes), platforms (Web), 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 QuillBot

  • Paraphrasing
  • Grammar checking
  • Summarization
  • Citation generator
  • Browser extension
  • Microsoft Word
  • Google Docs
  • Browser-extension support

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 QuillBot
  • Linear and logistic regression on warehouse datanot QuillBot
  • K-means clustering and matrix factorisation for recommendationsnot QuillBot
  • Time series forecasting with ARIMA_PLUSnot QuillBot
  • Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot QuillBot

QuillBot

  • ai tools managementnot BigQuery ML
  • Workflow automationnot BigQuery ML
  • Reportingnot 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

QuillBot

  • Free tier limited to 125-word paraphrases with only 2 modes
  • Grammar checking is less robust than Grammaly
  • Writing analytics less advanced than top-tier competitors

Pricing, plan by plan

BigQuery ML

Free
  • Free TierFree
    • 10GB storage
    • 1TB queries
  • On-Demand$5/TB
    • Pay per TB scanned
    • ML training costs

QuillBot

Free
  • FreeFree
    • 125 words paraphrase
    • 3 modes
  • Premium$9.95/month
    • Unlimited words
    • All modes
    • Plagiarism checker

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 QuillBot if

  • You need paraphrasing.
  • You want to start without paying.
  • You also want grammar checking.

Questions people ask

Is BigQuery ML or QuillBot better?
Neither clearly leads. BigQuery ML starts at Free and QuillBot at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or QuillBot?
BigQuery ML starts at Free and QuillBot at Free.
Does BigQuery ML or QuillBot 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?
Both have a free tier, so you can try either at no cost before committing.
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 QuillBot is typically brought in for.
What can BigQuery ML do that QuillBot cannot?
BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. QuillBot covers Paraphrasing, Grammar checking, Summarization, Citation generator. 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.

Source
QuillBot: What is QuillBot pricing?

QuillBot uses a freemium model. Premium costs $19.95/month or $8.33/month ($100/year) when billed annually. The free tier provides basic paraphrasing with 125-word limit and 2 modes.

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
QuillBot: What are QuillBot's paraphrasing modes?

QuillBot offers 10 specialized paraphrasing modes including Standard, Fluency, Creative, and the newly added Boomer Mode, providing unmatched flexibility at this price point.

Source
QuillBot: What features does the free plan include?

QuillBot's free plan includes paraphrasing (125-word limit, 2 modes), grammar checking with limited daily checks, summarizing (1,200-word limit), and basic translation.

Source
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