Sync data from BigQuery to Azure Blob 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 Azure Blob 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 Azure Blob Storage

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

BigQuery

BigQuery

Source

Documentation
Azure Blob Storage

Azure Blob 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 azblob --spec-path bigquery_to_azblob.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:

PAzure Blob Storage plugin configuration

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

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

Step 3: Run the sync

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

cloudquery sync bigquery_to_azblob.yaml

Frequently asked questions about plugins

Detailed answers are here to help you get started.

Azure Blob Storage FAQ

What is CloudQuery?

CloudQuery is an open-source tool that helps you extract, transform, and load cloud asset data from various sources into databases for security, compliance, and visibility.

Logging in allows CloudQuery to authenticate your access to the CloudQuery Hub and monitor usage for billing purposes. Data synced with CloudQuery remains private to your environment and is not shared with our servers or any third parties.

CloudQuery accesses only the metadata and configurations of your cloud resources that you specify without touching sensitive data or workloads.

CloudQuery offers flexible pricing based on the number of cloud accounts and usage. Visit our pricing page for detailed plans.

Yes, CloudQuery offers a free plan that includes basic features, perfect for smaller teams or personal use. More details can be found on our pricing page.

BigQuery FAQ

What credentials do I need in order to sync data from BigQuery to Azure Blob Storage?

We use application default credentials in order to sync from BigQuery to Azure Blob 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 Azure Blob 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

Azure Blob 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.

Turn cloud chaos into clarity

Find out how CloudQuery can help you get clarity from a chaotic cloud environment with a personalized conversation and demo.

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