Machine Learning · head to head
BigQuery ML vs IBM Cognos Analytics

IBM Cognos Analytics
Business Intelligence
AI-powered business intelligence
- From
- $15/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; IBM Cognos Analytics listed on UK G-Cloud at £42.53 per user per month for IBM Cognos Analytics, via reseller Computacenter
- They diverge on capability: BigQuery ML covers SQL-based ML, IBM Cognos Analytics covers AI Assistant.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and IBM Cognos Analytics actually diverge.
| Attribute | BigQuery ML | IBM Cognos Analytics |
|---|---|---|
| Starting price | Free | $15/month |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Web | Web, Desktop, Mobile, Cloud |
| Category | Machine Learning | Business Intelligence |
| Founded | 2008 | 1911 |
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
- BigQuery
- Vertex AI
- TensorFlow
Only in IBM Cognos Analytics
- AI Assistant
- Natural Language Queries
- Automated Insights
- Story Telling
- Mobile Analytics
- IBM Db2
- Oracle
- SQL Server
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 IBM Cognos Analytics
- Linear and logistic regression on warehouse datanot IBM Cognos Analytics
- K-means clustering and matrix factorisation for recommendationsnot IBM Cognos Analytics
- Time series forecasting with ARIMA_PLUSnot IBM Cognos Analytics
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot IBM Cognos Analytics
IBM Cognos Analytics
- 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
IBM Cognos Analytics
- Listed on UK G-Cloud at £42.53 per user per month for IBM Cognos Analytics, via reseller Computacenter
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
IBM Cognos Analytics
$15/month- Standard$15/month
- Dashboards
- Reporting
- AI Insights
- Plus$35/month
- Advanced Analytics
- Planning
- Premium Support
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 IBM Cognos Analytics if
- You need ai assistant.
- You work on Web, Desktop, Mobile, Cloud.
- You also want natural language queries.
Questions people ask
- Is BigQuery ML or IBM Cognos Analytics better?
- Neither clearly leads. BigQuery ML starts at Free and IBM Cognos Analytics at $15/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or IBM Cognos Analytics?
- BigQuery ML has a free tier; the other does not. Paid plans start at Free for BigQuery ML and $15/month for IBM Cognos Analytics.
- Does BigQuery ML or IBM Cognos Analytics run on more platforms?
- BigQuery ML runs on Web. IBM Cognos Analytics runs on Web, Desktop, Mobile, Cloud.
- Can I use BigQuery ML for free?
- Yes. BigQuery ML has a free tier, so you can try it without paying. IBM Cognos Analytics starts at $15/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 IBM Cognos Analytics is typically brought in for.
- What can BigQuery ML do that IBM Cognos Analytics cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. IBM Cognos Analytics covers AI Assistant, Natural Language Queries, Automated Insights, Story Telling. 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.
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.
SourceRelated pages
More on BigQuery ML
More on IBM Cognos Analytics
Other head to heads
- BigQuery ML vs AWS SageMaker
- BigQuery ML vs Azure Machine Learning
- BigQuery ML vs DataRobot
- BigQuery ML vs Databricks
- BigQuery ML vs SAS
- BigQuery ML vs scikit-learn
- BigQuery ML vs Snowflake
- BigQuery ML vs Weka
- BigQuery ML vs MATLAB
- BigQuery ML vs Palantir Foundry
- BigQuery ML vs Apache Spark MLlib
- BigQuery ML vs Hugging Face
- BigQuery ML vs Kubeflow
- BigQuery ML vs Langwatch
- BigQuery ML vs LlamaIndex
- BigQuery ML vs Milvus
- BigQuery ML vs Neptune.ai
- BigQuery ML vs Amazon Redshift ML
- BigQuery ML vs MicroStrategy
- BigQuery ML vs Sisense
- BigQuery ML vs Amazon QuickSight
- BigQuery ML vs Power BI
- BigQuery ML vs Domo
- BigQuery ML vs ThoughtSpot
- BigQuery ML vs SAP BusinessObjects
- BigQuery ML vs TIBCO Spotfire
- BigQuery ML vs Qlik Sense
- BigQuery ML vs Anaplan
- BigQuery ML vs GoodData
- BigQuery ML vs Oracle Analytics Cloud
- BigQuery ML vs Geckoboard
- BigQuery ML vs Glassbox
- BigQuery ML vs Glean
- BigQuery ML vs Grow
- BigQuery ML vs Hebbia
- BigQuery ML vs Holistics
- IBM Cognos Analytics vs AWS SageMaker
- IBM Cognos Analytics vs Azure Machine Learning
- IBM Cognos Analytics vs DataRobot
- IBM Cognos Analytics vs Databricks
- IBM Cognos Analytics vs SAS
- IBM Cognos Analytics vs scikit-learn
- IBM Cognos Analytics vs Snowflake
- IBM Cognos Analytics vs Weka
- IBM Cognos Analytics vs MATLAB
- IBM Cognos Analytics vs Palantir Foundry
- IBM Cognos Analytics vs Apache Spark MLlib
- IBM Cognos Analytics vs Hugging Face
- IBM Cognos Analytics vs Kubeflow
- IBM Cognos Analytics vs Langwatch
- IBM Cognos Analytics vs LlamaIndex
- IBM Cognos Analytics vs Milvus
- IBM Cognos Analytics vs Neptune.ai
- IBM Cognos Analytics vs Amazon Redshift ML
- IBM Cognos Analytics vs MicroStrategy
- IBM Cognos Analytics vs Sisense
- IBM Cognos Analytics vs Amazon QuickSight
- IBM Cognos Analytics vs Power BI
- IBM Cognos Analytics vs Domo
- IBM Cognos Analytics vs ThoughtSpot
- IBM Cognos Analytics vs SAP BusinessObjects
- IBM Cognos Analytics vs TIBCO Spotfire
- IBM Cognos Analytics vs Qlik Sense
- IBM Cognos Analytics vs Anaplan
- IBM Cognos Analytics vs GoodData
- IBM Cognos Analytics vs Oracle Analytics Cloud
- IBM Cognos Analytics vs Geckoboard
- IBM Cognos Analytics vs Glassbox
- IBM Cognos Analytics vs Glean
- IBM Cognos Analytics vs Grow
- IBM Cognos Analytics vs Hebbia
- IBM Cognos Analytics vs Holistics

