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Machine Learning · head to head

BigQuery ML vs Logi Analytics

BigQuery ML logo

BigQuery ML

Machine Learning

Machine learning in BigQuery using SQL

From
Free
Rated
-
Logi Analytics logo

Logi Analytics

Business Intelligence

Embedded analytics for developers

From
$800/month
Rated
-

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; Logi Analytics no pricing information published on website; quote-based model requires completing request form
  • They diverge on capability: BigQuery ML covers SQL-based ML, Logi Analytics covers Low-code Embedding.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which BigQuery ML and Logi Analytics actually diverge.

Attributes where BigQuery ML and Logi Analytics differ
AttributeBigQuery MLLogi Analytics
Starting priceFree$800/month
Pricing modelusage-basedsubscription
Free tierYesNo
CategoryMachine LearningBusiness Intelligence
Founded20082003

Identical on both: 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 Logi Analytics

  • Low-code Embedding
  • Self-service Analytics
  • Data Connectors
  • Custom Branding
  • Multi-tenancy
  • SQL Server
  • PostgreSQL
  • MySQL

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

Logi Analytics

  • Embedded analytics and data visualization for software applicationsnot BigQuery ML
  • Custom business intelligence application development with low-code platformnot 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

Logi Analytics

  • No pricing information published on website; quote-based model requires completing request form

Pricing, plan by plan

BigQuery ML

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

Logi Analytics

$800/month
  • Team$800/month
    • Embedded Dashboards
    • Self-service
    • APIs
  • EnterpriseFree
    • Full Platform
    • Multi-tenant
    • Custom Development

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 Logi Analytics if

  • You need low-code embedding.
  • You also want self-service analytics.

Questions people ask

Is BigQuery ML or Logi Analytics better?
Neither clearly leads. BigQuery ML starts at Free and Logi Analytics at $800/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, BigQuery ML or Logi Analytics?
BigQuery ML has a free tier; the other does not. Paid plans start at Free for BigQuery ML and $800/month for Logi Analytics.
Does BigQuery ML or Logi Analytics 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?
Yes. BigQuery ML has a free tier, so you can try it without paying. Logi Analytics starts at $800/month.
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 Logi Analytics is typically brought in for.
What can BigQuery ML do that Logi Analytics cannot?
BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Logi Analytics covers Low-code Embedding, Self-service Analytics, Data Connectors, Custom Branding. 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
Logi Analytics: How much does Logi Analytics cost?

Logi Analytics does not publish pricing on its website. The platform uses a quote-based pricing model where prospective customers must fill out a request form on their website to speak with a sales expert about customized pricing based on their specific needs.

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
Logi Analytics: What Logi Analytics products are available?

Logi Analytics offers four main products: Logi Composer for customizable dashboards, Logi Report for pixel-perfect reporting, Logi Info as a full SaaS analytics application, and Logi Symphony as a comprehensive analytics suite.

Source
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