Google BigQuery
Pricing Details
Free for individual/non-production use. Costs based on data volume and query type (on-demand or flat-rate).Features
Serverless architecture; Scalability; High performance queries; BigQuery ML (BQML); Real-time analytics; Data governance and security; Geospatial analysis; BI tool integration; Flexible pricing; SQL-based ML model building; Eliminate data movement for ML; Accelerate ML deployment.Integrations
Integration with Google Cloud Storage, Dataflow, Dataproc, Vertex AI, Looker Studio, Google Sheets, Google Ads, Google Analytics; Compatibility with BI tools (Tableau, Power BI); Integration with ETL/ELT tools; Workflow orchestration (Cloud Composer); APIs, drivers (ODBC/JDBC), and connectors (Zapier).Preview
Google BigQuery is a fully managed, serverless data warehouse that enables scalable analysis over petabytes of data. Beyond its core data warehousing capabilities, BigQuery integrates Artificial Intelligence and Machine Learning features, primarily through BigQuery ML (BQML), to empower data analysts and data scientists to build and operationalize ML models directly within BigQuery using standard SQL. Key features include serverless architecture, automatic scalability, high query performance, real-time analytics, robust data governance and security. BigQuery ML allows building ML models (such as linear and logistic regression, k-means clustering, time series forecasting) using familiar SQL syntax, eliminating the need to move data to separate ML platforms. This significantly simplifies and accelerates the model development and deployment process, democratizing machine learning for a wider audience proficient in SQL. BigQuery serves as a powerful foundation for big data processing and running AI/ML workloads, integrating seamlessly with other Google Cloud services and third-party tools for business intelligence, ETL, and workflow orchestration. It is widely used across various industries including retail, finance, healthcare, marketing, and IoT for tasks like customer behavior analysis, fraud detection, forecasting, and predictive maintenance.