Sync data from BigQuery to Google Cloud Storage

CloudQuery is a simple, fast and extensible data movement platform that allows you to sync data from any source to any destination.

bigquery
Destinations

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Why CloudQuery?

We took care of everything, so you can do your job easily and efficiently.

Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from BigQuery to Google Cloud Storage can be completed in a fraction of the time compared to other tools.

Easy to get started, easy to maintain

BigQuery syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

How to sync BigQuery data to Google Cloud Storage

CloudQuery is the simple, fast data integration platform that can fetch your data from BigQuery APIs and load it into Google Cloud Storage.

BigQuery

BigQuery

Source

Documentation
Google Cloud Storage

Google Cloud Storage

Destination

Documentation

Step 1: Install CloudQuery

Follow the steps below to start syncing data with CloudQuery.

Your operating system
Installation method

Copy&paste the following command to download

brew install cloudquery/tap/cloudquery

Sign in with CloudQuery

To sign in from the CLI, run the following command.

cloudquery login

A new browser window will open where you will complete the sign-in process.

Auto-generate sync configuration

Run the following command to create a configuration file:

cloudquery init --source bigquery --destination gcs --spec-path bigquery_to_gcs.yaml

Step 2: Additional source and destination configuration (optional)

BigQuery source plugin configuration

You can find more information about the configuration in the plugin documentation.

# bigquery.yml kind: source spec: name: bigquery path: cloudquery/bigquery spec: # per documentation at:

PGoogle Cloud Storage plugin configuration

You can find more information about the configuration in the plugin documentation.

# gcs.yml kind: destination spec: name: gcs path: cloudquery/gcs spec: # per documentation at:

Step 3: Run the sync

Step 1. Copy and paste the command to trigger the sync

cloudquery sync bigquery_to_gcs.yaml

Frequently asked questions about plugins

Detailed answers are here to help you get started.

Google Cloud Storage FAQ

What file formats can CloudQuery load from BigQuery to Google Cloud Storage?

CloudQuery can output CSV, JSON and Parquet files to Google Cloud. If you choose a CSV file, there are a number of CSV specific parameters that you can set before running the sync such as the delimiter and whether the header row is skipped.

The CloudQuery GCS integration authenticates by using your Application Default Credentials and all of the options are available. For testing purposes, it is possible to specify your GCS access credentials via the GOOGLE_APPLICATION_CREDENTIALS parameter but this is not recommended for long-term usage.

BigQuery FAQ

What credentials do I need in order to sync data from BigQuery to Google Cloud Storage?

We use application default credentials in order to sync from BigQuery to Google Cloud Storage. The best option to use depends on the environment in which your sync is running. Full details can be found here.
Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from BigQuery to Google Cloud Storage can be completed in a fraction of the time compared to other tools.

Easy to use, easy to maintain

BigQuery syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

A huge library of supported destinations

Google Cloud Storage isn’t the only place we can sync your BigQuery data to. Whatever you need to do with your BigQuery data, CloudQuery can make it happen. We support a huge range of destinations, customizable transformations for ETL, and we regularly release new plugins.

Extensible and Open Source SDK

Write your own connectors in any language by utilizing the CloudQuery open source SDK powered by Apache Arrow. Get out-of-the-box scheduling, rate-limiting, transformation, documentation and much more.

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