What is the name of Google's fully managed data warehouse for analytics?

Google’s fully managed data warehouse for analytics is Google BigQuery. Usually branded simply as BigQuery, it is a Google Cloud service designed to analyze very large datasets without requiring users to provision or maintain database servers. Its serverless model separates infrastructure management from analysis, letting teams focus on writing queries and interpreting results.

BigQuery grew from Dremel, an internal Google technology created for interactive analysis across enormous collections of data. Google announced the product at Google I/O in May 2010, and it became generally available after early-access and limited-availability phases. Users can load data from sources such as Cloud Storage and query it with GoogleSQL, Google’s SQL dialect.

A common mix-up is treating BigQuery as a conventional transactional database. It is primarily an analytical data warehouse, optimized for scanning, aggregating, and joining large datasets rather than handling the small, constant record updates typical of an operational application database. BigQuery also includes capabilities for machine learning, geospatial analysis, governance, and business intelligence, but those features do not change its central identity as Google Cloud’s analytics warehouse.