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Machine Learning · head to head

BigQuery ML vs Pendo

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Rated
-
Full reviewWebsite
Pendo logo

Pendo

Technology

Product analytics and digital adoption platform

From
Free
Rated
-
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; Pendo pricing is not publicly available and requires a custom quote
  • They diverge on capability: BigQuery ML covers SQL-based ML, Pendo covers Product analytics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where BigQuery ML and Pendo differ
AttributeBigQuery MLPendo
Pricing modelusage-basedUnknown
PlatformsWebWeb, Mobile, Desktop
CategoryMachine LearningTechnology
Founded20082013

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 Pendo

  • Product analytics
  • In-app messaging
  • User onboarding
  • Feature adoption tracking
  • User feedback
  • NPS surveys
  • Session replay
  • Mobile analytics

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

Pendo

  • User onboardingnot BigQuery ML
  • Feature adoptionnot BigQuery ML
  • Product analyticsnot BigQuery ML
  • User feedback collectionnot BigQuery ML
  • Digital adoptionnot 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

Pendo

  • Pricing is not publicly available and requires a custom quote
  • Free tier limited to 500 monthly active users

Pricing, plan by plan

BigQuery ML

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

Pendo

Free
  • FreeFree
    • 500 MAU
    • Core analytics
    • In-app guides

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 Pendo if

  • You need product analytics.
  • You want to start without paying.
  • You work on Web, Mobile, Desktop.
  • You also want in-app messaging.
Pendo review

Questions people ask

Is BigQuery ML or Pendo better?
Neither clearly leads. BigQuery ML starts at Free and Pendo at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or Pendo?
BigQuery ML starts at Free and Pendo at Free.
Does BigQuery ML or Pendo run on more platforms?
BigQuery ML runs on Web. Pendo runs on Web, Mobile, Desktop.
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 Pendo is typically brought in for.
What can BigQuery ML do that Pendo cannot?
BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Pendo covers Product analytics, In-app messaging, User onboarding, Feature adoption tracking.

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
Pendo: Does Pendo have a free tier?

Yes, Pendo Free supports up to 500 monthly active users and includes core product analytics, in-app guides, Pendo-branded roadmaps, and Pendo-branded NPS surveys.

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
Pendo: What is Pendo's core functionality?

Pendo combines product analytics, in-app guides, session replay, NPS surveys, product discovery, roadmaps, and cross-channel orchestration to measure and improve product adoption.

Source
Pendo: What CRM systems does Pendo integrate with?

Pendo offers two-way integrations with Salesforce, mapping Pendo product usage and sentiment data with Salesforce records, and with HubSpot for contact mapping and campaign orchestration.

Source
Pendo: What impact does Pendo have on customer retention?

Companies using Pendo for product analytics see on average a 5% reduction in customer churn and report an average 15% increase in net revenue retention.

Source
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