Sync data from
Google BigQuery to Dropbox
Connect your data from Google BigQuery to Dropbox with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
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Integrate your data in 3 easy steps
Add your source and destination
Connect to 15+ data sources, like Google BigQuery, and 150+ destinations, like Dropbox.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Dropbox, and start syncing.
Model your Google BigQuery data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Query using looks. Hightouch turns your look into SQL and will pull from your source.
Create and Edit SQL from your browser. Hightouch supports SQL native to Google BigQuery.
Select available tables and sheets from Google BigQuery and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Google BigQuery using our visual segmentation builder.
Does this integration support in-warehouse planning?
Yes, if you integerate Google BigQuery and Dropbox using Hightouch, in-warehouse planning is supported.
Great, but what is in-warehouse planning?
Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case Dropbox). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.
The issue here is this can be slow for large models.
Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this works here.
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