Power interactive insights with data from Google BigQuery

Hex connects directly to Google BigQuery to let you query big data with familiar SQL syntax, without exporting csv files or needing a Python connector.

How it works

Connecting a Google BigQuery project to Hex means everyone can securely and efficiently query data right from the flexible notebook environment, without writing Python code or passing around credentials.

Hex features full SQL IDE functionality, with autocomplete, a schema browser, caching, and the ability to stream large results.

You can build and publish beautiful and interactive data apps entirely from SQL queries to your BigQuery dataโ€” or you can switch seamlessly into Python and build models, enrich data, or merge other data sources.

Google BigQuery
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Google BigQuery
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Browse schema
select
cast({{timeframe}} as timestamp) as month,
ship, destination,
sum(spice_tons) as spice_tons
from atreides.vehicle_destinations
group by 1,2,3
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dataframe

"Hex has the best parts of using a Jupyter notebook without the limitations. I hadnโ€™t really experienced being able to slip really quickly between the logic and the application builder view before Hex."

Nina Anderson

Infinite Lambda