Machine Learning · head to head
BigQuery ML vs Logi Analytics

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.
| Attribute | BigQuery ML | Logi Analytics |
|---|---|---|
| Starting price | Free | $800/month |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Category | Machine Learning | Business Intelligence |
| Founded | 2008 | 2003 |
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.
SourceLogi 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.
SourceBigQuery 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.
SourceLogi 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.
SourceRelated pages
More on BigQuery ML
More on Logi Analytics
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- BigQuery ML vs Grow
- BigQuery ML vs Hebbia
- Logi Analytics vs AWS SageMaker
- Logi Analytics vs Azure Machine Learning
- Logi Analytics vs DataRobot
- Logi Analytics vs Databricks
- Logi Analytics vs SAS
- Logi Analytics vs scikit-learn
- Logi Analytics vs Snowflake
- Logi Analytics vs Weka
- Logi Analytics vs MATLAB
- Logi Analytics vs Palantir Foundry
- Logi Analytics vs Apache Spark MLlib
- Logi Analytics vs Hugging Face
- Logi Analytics vs Kubeflow
- Logi Analytics vs Langwatch
- Logi Analytics vs LlamaIndex
- Logi Analytics vs Milvus
- Logi Analytics vs Neptune.ai
- Logi Analytics vs Amazon Redshift ML
- Logi Analytics vs Sisense
- Logi Analytics vs Power BI
- Logi Analytics vs Amazon QuickSight
- Logi Analytics vs MicroStrategy
- Logi Analytics vs GoodData
- Logi Analytics vs Cube
- Logi Analytics vs Dundas BI
- Logi Analytics vs Yellowfin
- Logi Analytics vs Lightdash
- Logi Analytics vs Periscope Data
- Logi Analytics vs Cyfe
- Logi Analytics vs Holistics
- Logi Analytics vs Fabi
- Logi Analytics vs Geckoboard
- Logi Analytics vs Glassbox
- Logi Analytics vs Glean
- Logi Analytics vs Grow
- Logi Analytics vs Hebbia

