BigQuery is a cloud data warehouse that lets you run highly performant queries of large datasets.
You can export all of your raw events from Google Analytics 4 properties to BigQuery, and then use a SQL-like syntax to query that data. In BigQuery, you can choose to export your data to an external storage or import external data for the purposes of combining it with your Analytics data.
When you export data to BigQuery, you own that data, and you can use BigQuery ACLs to manage permissions on projects and datasets.
A full export of data takes place once a day. Data is also exported continuously throughout the day (see Streaming export below).
There are no billing charges associated with exporting data from a Google Analytics 4 property to BigQuery. You can export to a free instance of BigQuery (BigQuery sandbox), but exports that exceed the sandbox limits incur charges.
About streaming export
BigQuery streaming export makes fresher data for the current day available within a few minutes via BigQuery Export.
When you use this export option, BigQuery will have more recent information you can analyze about your users and their traffic on your property.
For each day, streaming export creates two new tables:
events_intraday_YYYYMMDD: All records of events for all activity that took place during the day. Data is exported continuously throughout the day. Within this table are multiple records of an event when the event spans multiple export operations. This table is deleted when
events_YYYYMMDD: The full daily export of events.
You should query
events_YYYYMMDD rather than
Visit the BigQuery Developers Guide to learn more about: