BigQuery is a fully managed, AI-ready data platform that helps you manage and analyze your data with built-in features like machine learning, search, geospatial analysis, and business intelligence. BigQuery's serverless architecture lets you use languages like SQL and Python to answer your organization's biggest questions with zero infrastructure management.
BigQuery provides a uniform way to work with both structured and unstructured data and supports open table formats like Apache Iceberg, Delta, and Hudi. BigQuery streaming supports continuous data ingestion and analysis while BigQuery's scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes.
BigQuery's architecture consists of two parts:
a storage layer that ingests, stores, and optimizes data and
a compute layer that provides analytics capabilities.
These compute and storage layers efficiently operate independently of each other thanks to Google's petabit-scale network that enables the necessary communication between them.
This separation principle lets BigQuery innovate faster because storage and compute improvements can be deployed independently, without downtime or negative impact on system performance. It is also essential to offering a fully managed serverless data warehouse in which the BigQuery engineering team handles updates and maintenance. The result is that you don't need to provision or manually scale resources, leaving you free to focus on delivering value instead of traditional database management tasks.
BigQuery interfaces include Google Cloud console interface and the BigQuery command-line tool. Developers and data scientists can use client libraries with familiar programming including Python, Java, JavaScript, and Go, as well as BigQuery's REST API and RPC API to transform and manage data. ODBC and JDBC drivers provide interaction with existing applications including third-party tools and utilities.
As a data analyst, data engineer, data warehouse administrator, or data scientist, BigQuery helps you load, process, and analyze data to inform critical business decisions.
BigQuery (Data Warehouse)
