Sync data from
Google BigQuery to Statsig
Connect your data from Google BigQuery to Statsig with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
Trusted by data teams at
Trusted by data teams at
Integrate your data in 3 easy steps
01
Add your source and destination
Connect to 15+ data sources, like Google BigQuery, and 150+ destinations, like Statsig.
Connect
Log in
02
Define your model
Use SQL or select an existing dbt or Looker model.
03
Sync your data
Define how fields from your model map to Statsig, and start syncing.
email
email
name
name
total_orders
all_orders
last_login
last_login
Model your Google BigQuery data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Looker
Query using looks. Hightouch turns your look into SQL and will pull from your source.
SQL Editor
Create and Edit SQL from your browser. Hightouch supports SQL native to Google BigQuery.
Table Selector
Select available tables and sheets from Google BigQuery and sync using existing views without having to write SQL.
Customer Studio
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 Statsig 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 Statsig). 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.
Define user targeting groups in segments for re-use in Feature Gates and Dynamic Configs
Log events to help monitor how your product is performing in real-time
Investigate product usage patterns that can point to further improvements and new product hypotheses from the data in your warehouse
About Google BigQuery
BigQuery is a fully-managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.
Learn more about Google BigQuery
About Statsig
Statsig converts the events from your experiments and application events to deliver trustworthy results. This data infrastructure is designed to capture the precision and scale that you expect from applications with users from thousands to billions of end-users.
Learn more about StatsigOther Google BigQuery Integrations
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