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Machine Learning · head to head

BigQuery ML vs Chatbase

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Free plan
Yes
Chatbase logo

Chatbase

AI

Build AI chatbots trained on your data

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; Chatbase enterprise plan requires custom pricing with sales contact
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where BigQuery ML and Chatbase differ
AttributeBigQuery MLChatbase
Pricing modelusage-basedfreemium
CategoryMachine LearningAI
Founded2008Unknown

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 Chatbase

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

Chatbase

  • Automating customer support for returnsnot BigQuery ML
  • Answering product questions 24/7 across channelsnot BigQuery ML
  • Routing conversations to sales teamsnot BigQuery ML
  • Escalating complex issues to human agentsnot 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

Chatbase

  • Enterprise plan requires custom pricing with sales contact
  • Message credits are consumption-based; exceeding monthly allocation requires additional purchase

Pricing, plan by plan

BigQuery ML

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

Chatbase

Free
  • FreeFree
    • 50 message credits monthly
    • 1 member
    • Limited model access
  • Hobby$40/month
    • 700 message credits
    • 2 members
    • Advanced models
  • Standard$150/month
    • 4,000 message credits
    • 3 members
    • Voice
  • Pro$500/month
    • 15,000 message credits
    • 5 members
    • Advanced analytics

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 Chatbase if

  • You want to start without paying.

Questions people ask

Is BigQuery ML or Chatbase better?
Neither clearly leads. BigQuery ML starts at Free and Chatbase at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or Chatbase?
BigQuery ML starts at Free and Chatbase at Free.
Does BigQuery ML or Chatbase 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 Chatbase is typically brought in for.
What can BigQuery ML do that Chatbase 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
Chatbase: Is there a free tier for Chatbase?

Yes, Chatbase offers a free plan with 50 message credits per month, 1 team member, and limited access to AI models. Agents created on the free plan automatically delete after 14 days of inactivity.

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
Chatbase: What are the differences between Standard and Pro plans?

Standard ($150/month) includes 4,000 message credits and 3 team members with voice, telephony, and API access. Pro ($500/month) includes 15,000 message credits, 5 team members, and advanced analytics with ticket support.

Source
Chatbase: How much does it cost to add extra team members beyond the plan limit?

Chatbase's pricing page does not specify the cost for adding extra team members beyond the included count in each plan. Contact sales for custom member add-on pricing.

Source
Chatbase: Do annual plans offer a discount?

Yes, yearly plans save 20% compared to monthly billing across all tiers.

Source
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