Sync data from BigQuery to PostgreSQL

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 PostgreSQL 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 PostgreSQL

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

BigQuery

BigQuery

Source

Documentation
PostgreSQL

PostgreSQL

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 postgresql --spec-path bigquery_to_postgresql.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:

PPostgreSQL plugin configuration

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

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

Step 3: Run the sync

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

cloudquery sync bigquery_to_postgresql.yaml

Frequently asked questions about plugins

Detailed answers are here to help you get started.

PostgreSQL FAQ

Which database versions are supported?

The CloudQuery PostgreSQL integration supports syncing to PostgreSQL version 10 or higher and CockroachDB version 20.2 or higher.

Sync duration depends on several factors, but there are a number of CloudQuery features that ensure that syncs are as fast as possible. CloudQuery syncs data from BigQuery to PostgreSQL in a streaming fashion using Apache Arrow. This means that as soon as it receives data from BigQuery it delivers it to the PostgreSQL integration. This means that data is delivered as the sync progresses rather than only at the end.

Yes, you can configure multiple destination blocks for different PostgreSQL instances or databases.

Use indexing, partitioning, and batch inserts to manage large datasets effectively and minimize performance impacts.

Check CloudQuery logs for detailed error messages, validate connectivity settings, and monitor database performance using PostgreSQL’s built-in tools.

BigQuery FAQ

What credentials do I need in order to sync data from BigQuery to PostgreSQL?

We use application default credentials in order to sync from BigQuery to PostgreSQL. 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 PostgreSQL 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

PostgreSQL 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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