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Migrating from Airtable to Postgres: A Comprehensive Guide


Businesses need more sophisticated data management as they expand. For data organisation, a lot of small and medium-sized businesses first employ user-friendly programmes like Airtable. Airtable is a great option for basic data management, but as your demands grow, you may need to look for a more reliable, scalable, and adaptable solution. Under such circumstances, it makes sense to switch from Airtable to Postgres, a potent open-source relational database management system. This post provides a thorough how-to to ensure a seamless switch from Airtable to Postgres.

Recognising Postgres and Airtable


A cloud-based platform for collaboration called Airtable blends the ease of use of a spreadsheet with the robustness of a database. It is renowned for having an easy-to-use interface that lets users arrange data in a manner like to a spreadsheet while taking use of the adaptability offered by custom fields, views, and app integrations.

MySQL (PostgreSQL)

High-performance, open-source relational database management system, PostgreSQL, sometimes known as Postgres. It is the go-to option for applications and companies that need scalability, security, and flexibility in handling their data because of its features, which include data integrity, sophisticated querying capabilities, and a highly extendable architecture.

Motivation for Converting from Airtable to Postgres

Scalability As the number and complexity of your data grow, Airtable could become too restrictive. Postgres offers scalability that is practically infinite.

Data Integrity: Postgres provides enhanced data integrity by supporting transactions, complicated data types, and restrictions.

modification: Postgres is perfect for complicated data structures since it enables more sophisticated data modelling and modification.

Performance: Postgres is well known for its speed, which makes it appropriate for high-throughput data applications.

Security: Postgres improves data security with its strong choices for encryption, authorization, and authentication.

A Comprehensive Guide for Converting Airtable Data to Postgres

  1. Evaluation of Data

Evaluate your data on Airtable before starting the migration procedure. Determine which relationships, tables, and fields should be moved to Postgres. This evaluation will assist you in developing the migration plan.

  1. Select a Tool for Data Migration

Choose a data migration tool that will enable you to easily move data from Airtable to Postgres. For this, you can use tools like Talend, AWS Data Pipeline, or custom scripts.

  1. Airtable Data Export

You may quickly import your data into Postgres by exporting it from Airtable in a certain format. Data migration commonly uses CSV as the export format, which Airtable facilitates.

4. Install Postgres on your system.

Create a Postgres database if you haven’t already. You have two options: install Postgres locally or go with a cloud-based solution like Amazon RDS or Google Cloud SQL.

  1. Design of Data Schemas

Create a Postgres data model that mirrors the organisation of your Airtable base. As needed, create tables, specify fields, and set up connections between tables.

  1. Mapping Data

Link the information in your Airtable export to the appropriate Postgres database tables and fields. In order to guarantee data consistency, this step is essential.

  1. Converting Data

Data exported from Airtable frequently has to be transformed in order to match the Postgres schema. For data manipulation and cleaning, use data transformation scripts.

  1. Data Import into PostgreSQL

Import the converted data into your Postgres database using custom scripts or your preferred data migration tool. During the import process, confirm the integrity of the data.

  1. Examining

To make sure that data relationships, data types, and general data quality are preserved when the data is imported, thoroughly test the data. Fix any inconsistencies that surface during the transfer.

  1. Application Integration Make the required changes to link your application to the new database if your Postgres database is a component of an application stack.
  2. Validation of Data

Compare the migrated data to the data in your Airtable. Verify that all relationships, data integrity, and records meet your requirements.

  1. Making the Move to Production

Go to production as soon as you are happy with the migration and have given the system a thorough test. This entails stopping the use of Airtable for real-time data, upgrading your apps, and rerouting data queries to the Postgres database.

Obstacles and Things to Think About

The process of moving from Airtable to Postgres might be complicated, so keep the following things in mind:

Data Volume: Longer migration durations may be the outcome of large data collections. Make appropriate plans and think of ways to minimise downtime.

Data Complexity: A significant amount of schema design and data mapping work may be necessary for complex data structures.

bespoke integrations and apps: Prepare to update or modify any integrations or apps that used data from Airtable.

Data Quality: To avoid problems later, make sure the data is of high quality throughout the migration process.

Backups: To minimise any unanticipated problems, always keep backups of your data in Postgres and Airtable.


A big step towards improving your data management skills is moving from Airtable to Postgres. Postgres provides the versatility, scalability, and performance required for more complicated data scenarios, whilst Airtable is a straightforward, easy-to-use option for small-scale data administration. You can make your shift successful and seamless with thorough planning and close attention to detail.

Keep in mind that data migration is a complicated process, and to make sure that your data stays correct, safe, and accessible in your new Postgres database, you need to have a well-thought-out plan, efficient tools, and extensive testing. The work put into this transfer will pay off in the form of scalable data management and the capacity to make data-driven decisions for your expanding company.

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