Machine Learning · head to head
BigQuery ML vs Domino Data Lab
The short version
- Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; Domino Data Lab pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
- They diverge on capability: BigQuery ML covers SQL-based ML, Domino Data Lab covers Reproducible environments.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and Domino Data Lab actually diverge.
| Attribute | BigQuery ML | Domino Data Lab |
|---|---|---|
| Pricing model | usage-based | subscription |
| Founded | 2008 | 2013 |
Identical on both: starting price (Free), free tier (Yes), platforms (Web), user rating (Not yet rated), category (Machine Learning).
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 Domino Data Lab
- Reproducible environments
- Model registry
- Model monitoring
- Collaboration
- Governance
- AWS
- Azure
- GCP
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 Domino Data Lab
- Linear and logistic regression on warehouse datanot Domino Data Lab
- K-means clustering and matrix factorisation for recommendationsnot Domino Data Lab
- Time series forecasting with ARIMA_PLUSnot Domino Data Lab
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot Domino Data Lab
Domino Data Lab
- Running reproducible data science workspaces and experiments on shared computenot BigQuery ML
- Deploying and monitoring models with governance controlsnot BigQuery ML
- Giving regulated enterprises a self managed MLOps 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
Domino Data Lab
- Pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
- Licensing is split by user type, with separate data science professional, data analyst, service account and admin licences
- FinOps, Nexus and Governance are paid add on modules rather than part of the platform
- Support level is a separate priced choice
- Self managed VPC or on premises deployment requires the Premium tier or higher
- No free trial is offered on the pricing page
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
Domino Data Lab
Free- TrialFree
- 14-day trial
- Full features
- EnterpriseFree
- Full platform
- Enterprise support
- SLA
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 Domino Data Lab if
- You need reproducible environments.
- You want to start without paying.
- You also want model registry.
Questions people ask
- Is BigQuery ML or Domino Data Lab better?
- Neither clearly leads. BigQuery ML starts at Free and Domino Data Lab at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or Domino Data Lab?
- BigQuery ML starts at Free and Domino Data Lab at Free.
- Does BigQuery ML or Domino Data Lab 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 Domino Data Lab is typically brought in for.
- What can BigQuery ML do that Domino Data Lab cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. Domino Data Lab covers Reproducible environments, Model registry, Model monitoring, Collaboration. 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.
SourceDomino Data Lab: What user license types are available and what can they do?
Data Science Professionals get full development, model training, and GPU access. Data Analysts get Python/R environments and dashboard creation with limited computing. License counts vary by tier (5-10 admin licenses and 5-10 service accounts).
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.
SourceDomino Data Lab: What support response times are included?
Premium tier includes 2-business-day SLA for support. Enterprise includes 1-business-day SLA plus 24/7 support for critical issues. Both tiers include monitoring and support services.
SourceDomino Data Lab: Are there additional modules available beyond the base subscription?
Yes, advanced add-on modules are available including FinOps (cost optimization), Nexus (hybrid/multicloud support), and Governance. These require separate purchase on top of your subscription tier.
SourceRelated pages
More on BigQuery ML
More on Domino Data Lab
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