Machine Learning · head to head
BigQuery ML vs MySQL
The short version
- Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; MySQL hot online backup is not in the free Community Server; MySQL Enterprise Backup is a paid Enterprise Edition component
- They diverge on capability: BigQuery ML covers SQL-based ML, MySQL covers ACID compliance.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and MySQL actually diverge.
| Attribute | BigQuery ML | MySQL |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Web | Windows, Macos, Linux, Unix |
| Category | Machine Learning | Web Development |
| Founded | 2008 | 1995 |
Identical on both: starting price (Free), free tier (Yes), 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 MySQL
- ACID compliance
- SQL support
- Multi-version concurrency control
- Replication
- Partitioning
- Stored procedures
- Triggers
- Views
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 MySQL
- Linear and logistic regression on warehouse datanot MySQL
- K-means clustering and matrix factorisation for recommendationsnot MySQL
- Time series forecasting with ARIMA_PLUSnot MySQL
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot MySQL
MySQL
- Web application backendnot BigQuery ML
- E-commerce platformsnot BigQuery ML
- Content management systemsnot BigQuery ML
- Data warehousingnot BigQuery ML
- Business applicationsnot 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
MySQL
- Hot online backup is not in the free Community Server; MySQL Enterprise Backup is a paid Enterprise Edition component
- Transparent Data Encryption, data masking and de-identification are Enterprise Edition only
- MySQL Enterprise Firewall, which guards against SQL injection, and MySQL Enterprise Audit are both paid components
- External authentication against PAM or Windows Active Directory requires MySQL Enterprise Authentication
- The thread pool ships as MySQL Enterprise Scalability rather than in the community build
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
MySQL
Free- Community EditionFree
- Open source license
- Full SQL support
- InnoDB storage engine
- Standard Edition$2000/year
- Commercial license
- Oracle Premier Support
- MySQL Enterprise backup
- Enterprise Edition$5000/year
- Advanced security
- MySQL Enterprise Monitor
- High Availability
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 MySQL if
- You need acid compliance.
- You want to start without paying.
- You work on Windows, Macos, Linux, Unix.
- You also want sql support.
Questions people ask
- Is BigQuery ML or MySQL better?
- Neither clearly leads. BigQuery ML starts at Free and MySQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or MySQL?
- BigQuery ML starts at Free and MySQL at Free.
- Does BigQuery ML or MySQL run on more platforms?
- BigQuery ML runs on Web. MySQL runs on Windows, Macos, Linux, Unix.
- 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 MySQL is typically brought in for.
- What can BigQuery ML do that MySQL cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. MySQL covers ACID compliance, SQL support, Multi-version concurrency control, Replication.
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.
SourceMySQL: Does MySQL cost money?
MySQL is primarily open-source and free to use. Commercial editions and support services are available but pricing is not published on the main website.
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.
SourceMySQL: How do I get MySQL pricing information?
For MySQL commercial editions and support pricing, customers can contact MySQL sales directly at +1-866-221-0634 or navigate to individual product pages.
SourceRelated pages
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