BigQuery ML

Machine learning directly in BigQuery using SQL for scalable AI

Data & AnalyticsPaid

BigQuery ML allows data analysts and data scientists to build and deploy machine learning models using standard SQL queries directly in Google BigQuery, without needing to export data or use separate ML frameworks. It supports classification, regression, clustering, time series forecasting, matrix factorization, and importing TensorFlow or other externally trained models. Analysts can run predictions on BigQuery datasets at petabyte scale using familiar SQL syntax. SQL-proficient data teams wanting to add ML capabilities without learning Python ML frameworks, organizations with large datasets in BigQuery, and companies leveraging existing BigQuery infrastructure for ML use BigQuery ML to lower the barrier to ML adoption.

Key Features

• ✓SQL-based ML
• ✓Multiple model types
• ✓Petabyte scale
• ✓No data export
• ✓TensorFlow import