Machine Learning · head to head
BigQuery ML vs MariaDB

MariaDB
Databases
The open source relational database for the enterprise
- From
- Free
- Rated
- -
The short version
- Each has a real cost: BigQuery ML not available in BigQuery's Standard edition, so the cheapest tier cannot use it; MariaDB jSON support using text fields rather than native binary type; lacks MySQL's JSON syntax and functions
- They diverge on capability: BigQuery ML covers SQL-based ML, MariaDB covers MySQL Compatibility.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which BigQuery ML and MariaDB actually diverge.
| Attribute | BigQuery ML | MariaDB |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | Web | Linux, Unix, Windows, macOS |
| Category | Machine Learning | Databases |
| Founded | 2008 | 2009 |
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 MariaDB
- MySQL Compatibility
- Aria Storage Engine
- ColumnStore
- Galera Cluster
- MaxScale
- Spider Engine
- Temporal Tables
- phpMyAdmin
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 MariaDB
- Linear and logistic regression on warehouse datanot MariaDB
- K-means clustering and matrix factorisation for recommendationsnot MariaDB
- Time series forecasting with ARIMA_PLUSnot MariaDB
- Running imported ONNX, TensorFlow or XGBoost models against BigQuery datanot MariaDB
MariaDB
- Transaction processingnot BigQuery ML
- Data storagenot BigQuery ML
- Application backendnot BigQuery ML
- Reportingnot BigQuery ML
- Data 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
MariaDB
- JSON support using text fields rather than native binary type; lacks MySQL's JSON syntax and functions
- Galera Cluster maximum performance limited to the slowest node in cluster
- InnoDB tables limited to 1,017 columns and 64 secondary indexes
- Transaction size limits in Galera (128K rows and 2GB by default)
- Less strict SQL type checking than PostgreSQL; allows implicit conversions
Pricing, plan by plan
BigQuery ML
Free- Free TierFree
- 10GB storage
- 1TB queries
- On-Demand$5/TB
- Pay per TB scanned
- ML training costs
MariaDB
FreeNo published plan breakdown. See the MariaDB review.
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 MariaDB if
- You need mysql compatibility.
- You want to start without paying.
- You work on Linux, Unix, Windows, macOS.
- You also want aria storage engine.
Questions people ask
- Is BigQuery ML or MariaDB better?
- Neither clearly leads. BigQuery ML starts at Free and MariaDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigQuery ML or MariaDB?
- BigQuery ML starts at Free and MariaDB at Free.
- Does BigQuery ML or MariaDB run on more platforms?
- BigQuery ML runs on Web. MariaDB runs on Linux, Unix, Windows, macOS.
- 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 MariaDB is typically brought in for.
- What can BigQuery ML do that MariaDB cannot?
- BigQuery ML covers SQL-based ML, AutoML Tables, Model export, Prediction functions. MariaDB covers MySQL Compatibility, Aria Storage Engine, ColumnStore, Galera Cluster.
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.
SourceMariaDB: Is MariaDB completely free and open source?
Yes. MariaDB Server is licensed under GPLv2 and guaranteed to remain perpetually free and open source, independent of any commercial entities.
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.
SourceMariaDB: Is MariaDB backward compatible with MySQL?
Yes. MariaDB was designed as a drop-in replacement for MySQL. Every application, driver, and configuration that worked with MySQL works with MariaDB without code changes.
SourceMariaDB: What are the storage engine options in MariaDB?
MariaDB supports multiple storage engines including InnoDB (transactional, default), Aria (crash-safe, good for read-heavy workloads), and MyISAM. The Aria engine is faster than InnoDB for certain read-heavy queries and full table scans.
SourceMariaDB: How much does MariaDB cost?
MariaDB Community Server is completely free to download and use. MariaDB offers paid enterprise support and managed cloud services for organizations needing professional support.
SourceMariaDB: Does MariaDB support native JSON storage?
MariaDB stores JSON using text fields (the JSON type is an alias for LONGTEXT), not as a native binary type like MySQL does. JSON support exists but is less sophisticated than MySQL's JSON functions and syntax.
SourceMariaDB: What scaling options does MariaDB provide?
MariaDB supports both scaling up (more cores, memory, storage) and scaling out (read replication, Galera Cluster with multi-node replication). However, Galera Cluster performance cannot exceed the slowest node in the cluster.
SourceRelated pages
More on BigQuery ML
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- MariaDB vs Langwatch
- MariaDB vs LlamaIndex
- MariaDB vs Milvus
- MariaDB vs Neptune.ai
- MariaDB vs Amazon Redshift ML
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- MariaDB vs Microsoft SQL Server
- MariaDB vs Oracle Database
- MariaDB vs SQLite
- MariaDB vs Amazon Aurora
- MariaDB vs IBM Db2
- MariaDB vs Google Cloud SQL
- MariaDB vs Presto
- MariaDB vs Aiven
- MariaDB vs OpenSearch
- MariaDB vs TiDB
- MariaDB vs Firestore
- MariaDB vs Memcached
- MariaDB vs MotherDuck
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