BigQuery enables processing and analysis of huge datasets in the cloud - you write SQL-like queries and let Google handle the rest. The platform is built to scale from gigabytes to petabytes, and you don’t manage servers, clusters or upgrades.

BigQuery also offers features like real-time ingestion, integrated analytics, support for open formats (such as Delta, Iceberg and Hudi) and access to the broader cloud ecosystem for storage, AI and visualization. That makes it attractive for organizations that need fast access to insights without building their own analytics infrastructure.

For technically minded users: BigQuery is ideal for analysts and data engineers working with large datasets - you focus on the questions and analysis, not on maintaining infrastructure. Use cases range from log analysis to IoT data and ML feature engineering - and best of all, the infrastructure is largely managed for you.