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Machine Learning · head to head

BigQuery ML vs ThoughtSpot

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Rated
-
Full reviewWebsite
ThoughtSpot logo

ThoughtSpot

Business Intelligence

AI-powered analytics for the modern enterprise

From
$12999/year
Rated
-
Full reviewWebsite

The short version

  • Only BigQuery ML has a free tier, so it costs nothing to try first.
  • Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; ThoughtSpot limited chart customization options; font, color, and size customizations for visualizations are restricted
  • They diverge on capability: BigQuery ML covers SQL-based ML, ThoughtSpot covers Natural Language Search.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where BigQuery ML and ThoughtSpot differ
AttributeBigQuery MLThoughtSpot
Starting priceFree$12999/year
Pricing modelusage-basedUnknown
Free tierYesNo
PlatformsWebWeb, Cloud, On-Premises
CategoryMachine LearningBusiness Intelligence
Founded20082012

Identical on both: 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
  • Vertex AI
  • TensorFlow
  • Cloud Storage

Only in ThoughtSpot

  • Natural Language Search
  • SpotIQ AI
  • Liveboards
  • Embedded Analytics
  • Data Modeling
  • Snowflake
  • Databricks
  • Redshift

Both cover

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

ThoughtSpot

  • Self-service analyticsnot BigQuery ML
  • Data explorationnot BigQuery ML
  • Ad-hoc reportingnot BigQuery ML
  • Collaborative analysisnot BigQuery ML
  • Embedded analyticsnot 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

ThoughtSpot

  • Limited chart customization options; font, color, and size customizations for visualizations are restricted
  • Data modeling setup is complex and requires specialized expertise
  • High implementation costs restrict adoption for smaller organizations
  • Requires quality data and user training to fully realize benefits

Pricing, plan by plan

BigQuery ML

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

ThoughtSpot

$12999/year
  • StartupSpot$12999/year
    • Unlimited internal users
    • Up to 50 external customers
  • Essentials$25/per user per month
    • Self-service analytics
  • Pro$50/per user per month
    • Advanced analytics
    • Agentic features

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 ThoughtSpot if

  • You need natural language search.
  • You work on Web, Cloud, On-Premises.
  • You also want spotiq ai.
ThoughtSpot review

Questions people ask

Is BigQuery ML or ThoughtSpot better?
Neither clearly leads. BigQuery ML starts at Free and ThoughtSpot at $12999/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or ThoughtSpot?
BigQuery ML has a free tier; the other does not. Paid plans start at Free for BigQuery ML and $12999/year for ThoughtSpot.
Does BigQuery ML or ThoughtSpot run on more platforms?
BigQuery ML runs on Web. ThoughtSpot runs on Web, Cloud, On-Premises.
Can I use BigQuery ML for free?
Yes. BigQuery ML has a free tier, so you can try it without paying. ThoughtSpot starts at $12999/year.
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 ThoughtSpot is typically brought in for.
What can BigQuery ML do that ThoughtSpot cannot?
BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. ThoughtSpot covers Natural Language Search, SpotIQ AI, Liveboards, Embedded Analytics. Both handle BigQuery, 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
ThoughtSpot: What is ThoughtSpot's core capability?

ThoughtSpot pioneered search-driven analytics, allowing users to type questions and get charts back instantly without complex setup. This semantic layer approach democratizes data access for business users.

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
ThoughtSpot: What are ThoughtSpot's pricing plans?

ThoughtSpot offers StartupSpot at $12,999 per year for startups, an Essentials plan starting at $25 per user per month, a Pro plan at $50 per user per month, and custom Enterprise pricing for large deployments.

Source
ThoughtSpot: Does ThoughtSpot support embedded analytics?

Yes, ThoughtSpot provides embedded analytics capabilities for building data-driven applications, with pricing varying based on deployment model and scale.

Source
ThoughtSpot: What is SpotIQ?

SpotIQ is ThoughtSpot's AI-driven anomaly detection feature that automatically identifies interesting patterns and insights in data without manual configuration.

Source
ThoughtSpot: Can ThoughtSpot handle complex data models?

While ThoughtSpot excels in self-service BI and intuitive querying, data modeling can be complex and requires expertise to set up properly.

Source
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