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Machine Learning · head to head

BigQuery ML vs Copilotly

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Free plan
Yes
Full reviewWebsite
Copilotly logo

Copilotly

AI

131 specialist AI copilots across 20 professional domains

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Copilotly copilotly explicitly disclaims that its legal, medical, and financial copilots are not a substitute for licensed professional advice, which limits its use for anything requiring accountable expert sign-off.
  • They diverge on capability: BigQuery ML covers SQL-based ML, Copilotly covers 131 specialist copilots.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where BigQuery ML and Copilotly differ
AttributeBigQuery MLCopilotly
Pricing modelusage-basedfreemium
PlatformsWebweb, ios, android, windows, mac
CategoryMachine LearningAI
Founded2008Unknown

Identical on both: starting price (Free), free tier (Yes), 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 Copilotly

  • 131 specialist copilots
  • Browser extension
  • Multi-model routing
  • Document upload and analysis
  • Encrypted conversations
  • Desktop and mobile apps
  • Admin dashboard and usage analytics
  • SSO and SAML

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

Copilotly

  • Getting a quick legal or contract question answered without booking a consultationnot BigQuery ML
  • Drafting and reviewing professional documents with domain-specific guidancenot BigQuery ML
  • Researching medical, financial, or HR questions with a specialist-tuned assistantnot BigQuery ML
  • Working across many knowledge-work tasks under one subscription instead of separate toolsnot BigQuery ML
  • Getting AI help directly inside the browser while reading any webpagenot 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

Copilotly

  • Copilotly explicitly disclaims that its legal, medical, and financial copilots are not a substitute for licensed professional advice, which limits its use for anything requiring accountable expert sign-off.
  • The free plan caps usage at 3 copilots and 50 messages per day, pushing most real usage onto the paid Pro tier.
  • It relies on third-party foundation models (GPT-4o, Claude, Gemini, DeepSeek) rather than proprietary domain models, so answer quality is bounded by those underlying models.
  • There is no published documentation site or API, limiting integration options for developers or teams wanting to build on top of it.
  • Safari support is listed as 'coming soon' rather than available, so macOS/iOS Safari users are currently unsupported in-browser.

Pricing, plan by plan

BigQuery ML

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

Copilotly

Free
  • FreeFree
    • Access to 3 copilots of your choice
    • 50 messages per day
    • Conversation history
  • Pro$29/month
    • Every copilot unlocked (131 across 20 domains)
    • Unlimited messages
    • Also billed $4.99/week or $290/year
  • Enterprise$undefined/month
    • Everything in Pro
    • Unlimited team members
    • Custom copilots on your own data

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 Copilotly if

  • You need 131 specialist copilots.
  • You want to start without paying.
  • You work on web, ios, android, windows, mac.
  • You also want browser extension.
Copilotly review

Questions people ask

Is BigQuery ML or Copilotly better?
Neither clearly leads. BigQuery ML starts at Free and Copilotly at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or Copilotly?
BigQuery ML starts at Free and Copilotly at Free.
Does BigQuery ML or Copilotly run on more platforms?
BigQuery ML runs on Web. Copilotly runs on web, ios, android, windows, mac.
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 Copilotly is typically brought in for.
What can BigQuery ML do that Copilotly cannot?
BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Copilotly covers 131 specialist copilots, Browser extension, Multi-model routing, Document upload and analysis.

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
Copilotly: What do you get on the free plan?

Three copilots of your choosing, 50 messages a day, conversation history and the browser extension. No card and no time limit: the 50 messages are a daily cap that resets rather than a total.

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
Copilotly: How much is Pro, and is annual cheaper?

Pro bills three ways: $4.99 a week, $29 a month, or $290 a year. The annual cycle works out at about $24.17 a month, so it is the cheapest of the three.

Source
Copilotly: Can I try it before paying, and can I get a refund?

Pro has a three-day free trial and a seven-day money-back guarantee. Subscriptions can be cancelled at any time with no cancellation fee.

Source
Copilotly: Which models does Copilotly run on?

It routes to third-party foundation models rather than its own: GPT-4o, Claude, Gemini and DeepSeek. Answer quality is therefore bounded by whichever of those handles a query.

Source
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