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BigQuery ML vs Pi

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Free plan
Yes
Full reviewWebsite
Pi logo

Pi

AI

Personal AI by Inflection

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; Pi inflection AI's own homepage (2024 archive) pivoted its headline positioning to enterprise AI licensing rather than the consumer Pi assistant, with no consumer pricing or plans published on the corporate site
  • They diverge on capability: BigQuery ML covers SQL-based ML, Pi covers Conversational AI.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where BigQuery ML and Pi differ
AttributeBigQuery MLPi
Pricing modelusage-basedfree
PlatformsWebWeb, Ios, Android
CategoryMachine LearningAI
Founded20082022

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 Pi

  • Conversational AI
  • Voice mode
  • Empathetic responses
  • Multi-platform
  • Mobile apps
  • Web interface
  • Ios support
  • Android 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 Pi
  • Linear and logistic regression on warehouse datanot Pi
  • K-means clustering and matrix factorisation for recommendationsnot Pi
  • Time series forecasting with ARIMA_PLUSnot Pi
  • Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Pi

Pi

  • 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

Pi

  • Inflection AI's own homepage (2024 archive) pivoted its headline positioning to enterprise AI licensing rather than the consumer Pi assistant, with no consumer pricing or plans published on the corporate site
  • Requires iOS 16 or later, per the App Store listing

Pricing, plan by plan

BigQuery ML

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

Pi

Free
  • FreeFree
    • Unlimited conversations
    • Voice mode
    • All platforms

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 Pi if

  • You need conversational ai.
  • You want to start without paying.
  • You work on Web, Ios, Android.
  • You also want voice mode.
Pi review

Questions people ask

Is BigQuery ML or Pi better?
Neither clearly leads. BigQuery ML starts at Free and Pi at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or Pi?
BigQuery ML starts at Free and Pi at Free.
Does BigQuery ML or Pi run on more platforms?
BigQuery ML runs on Web. Pi runs on Web, Ios, Android.
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 Pi is typically brought in for.
What can BigQuery ML do that Pi cannot?
BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Pi covers Conversational AI, Voice mode, Empathetic responses, Multi-platform. 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
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
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