Sync data from Airtable to PostgreSQL

CloudQuery is the simple, fast data integration platform that can replicate your data from Airtable to PostgreSQL

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Self-hosted

Start locally, then deploy to a Virtual Machine, Kubernetes, or anywhere else. Full instructions on CLI setup are available in our documentation.

Step-by-step Instructions

Cloud-hosted

Start syncing in a few clicks. No need to deploy your own infrastructure.

Coming soon for Airtable to PostgreSQL

Fast and reliable

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

Easy to use, easy to maintain

Airtable 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 Airtable data to. Whatever you need to do with your Airtable 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.

Step by step guide for how to export data from Airtable to PostgreSQL

MacOS Windows Linux

MacOS Setup

Step 1: Install CloudQuery

To install CloudQuery, run the following command in your terminal:

brew install cloudquery/tap/cloudquery

Step 2: Create a Configuration File

Next, run the following command to initialize a sync configuration file for Airtable to PostgreSQL:

cloudquery init --source=airtable --destination=postgresql

This will generate a config file named airtable_to_postgresql.yaml. Follow the instructions to fill out the necessary fields to authenticate against your own environment.

Next, log in to the CloudQuery CLI. If you have't already, you can sign up for a free account as part of this step:

cloudquery login

Step 4: Run a Sync

cloudquery sync airtable_to_postgresql.yaml

This will start syncing data from the Airtable database to your PostgreSQL database! 🚀

See the CloudQuery documentation portal for more deployment guides, options and further tips.

FAQs

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.

Why does CloudQuery require login?

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.

What data does CloudQuery have access to?

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

How is CloudQuery priced?

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

Is there a free version of CloudQuery?

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.

How do I authenticate the Airtable source integration?

In order to use CloudQuery with your Airtable data and sync it to PostgreSQL, you’ll need to create a personal access token for the Airtable API. Full details on how to do this can be found on the Airtable website.

How does the Airtable API work?

Airtable provides customised API documentation for each of your bases. To find out more about how the API interacts with any particular Airtable base and the data that you will be able to sync to PostgreSQL, log in to Airtable and navigate to this page to view your customized documentation.

Which Airtable fields can I sync to PostgreSQL?

Airtable’s customised API documentation provides a list of fields that can be synced from any particular base and the details that you will need to set up a sync from Airtable to PostgreSQL. Simply sign in to your Airtable account and visit this page to review the details.

How long will it take to sync my data from Airtable to PostgreSQL?

Airtable’s API is limited to a maximum of 5 requests per second. This is the primary limitation to the speed of any sync from Airtable to PostgreSQL.

Which database versions are supported?

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

How long will the sync take?

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 Airtable to PostgreSQL in a streaming fashion using Apache Arrow. This means that as soon as it receives data from Airtable it delivers it to the PostgreSQL integration. This means that data is delivered as the sync progresses rather than only at the end.

Can I send data to multiple PostgreSQL instances using the destination plug-in?

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

What are the best practices for handling large datasets with the PostgreSQL destination integration?

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

How do I monitor and troubleshoot data transfers to PostgreSQL?

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