Google BigQuery integrations

Set up automated data importing from your favorite software to BigQuery.

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01

What is BigQuery integration?

BigQuery is a highly scalable, cloud-hosted data warehouse powered by Google.

Coupler.io provides truly the easiest way to automatically import information from data sources such as Airtable, Trello, QuickBooks, Pipedrive, Clockify, etc. to BigQuery. Anyone at your company with access to Google Cloud Platform can configure this integration within minutes and enable data importing straight into BigQuery. It’s the truth – anyone can do it!

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BigQuery integrations illustration
02

How can I use BigQuery integration for my business?

BigQuery integration will be useful for anyone who has their data scattered throughout different apps and warehouses, and is looking for an easy and smart way to automatically bring all this information together in BigQuery.

  • Store all your business information in a single place
  • Simplify the process of extracting valuable insights from your data
  • Pull separate data sets using the standard SQL query syntax
  • Create dashboards in Tableau, Google Data Studio, and more
  • Back up your apps’ data in BigQuery automatically
  • Allow users to build different views based on their needs
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BigQuery integrations usage illustration

How to import data from applications to BigQuery with Coupler.io

  1. Select an app to export information from
    Select an app illustration
  2. Connect your data source account
    Connect your data source illustration
  3. Apply the necessary parameters
    Source parameters screenshot
  4. Connect your data destination account
    Destination account illustration
  5. Identify a table in Google BigQuery to import it to
    BigQuery illustration
  6. Customize the schedule for the data import to run
    Scheduling illustration

Popular ways to use BigQuery integration

  1. Collect and store all your apps’ historical data

    Use the Coupler.io append mode to set up automatic data export from apps with strict time limits for storage to re-create the entire database in BigQuery warehouse – without losing a single record.

  2. Extract insights and perform complex manipulations with ease

    Run complicated queries on large data arrays according to criteria or transform your tabular entries the way you like by performing join, filter, merge, and other actions on your original data set.

  3. Combine information from different sources in one place

    Enable BigQuery integrations with multiple data sources to collect insights from accounting and finance, email automation, customer relationship management, and other software applications to get a better understanding of the customer base and their behavioral patterns for your business.

  4. Simplify the dashboards creation process

    Don’t look for separate connectors to push data from various sources to data visualization software. Write a single query to extract a data set required for building a dashboard and save it as a separate view. Connect the view or feed in its code to Google Data Studio or another tool and enjoy the result.

Access your data
in a simple format for free!
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