Spent this week moving my data away from Airtable and wanted to share what worked
I had been using Airtable for both a personal project and an app’s content management. Finally decided to make the switch to a real database solution and tried both Neon and Supabase.
My initial approach was to write a custom script to handle the migration. The plan seemed straightforward - pull data from Airtable’s API and push it into Supabase. Reality hit hard when I tried mapping the linked records to proper foreign keys.
My database structure had around 5 interconnected tables (categories, users, products, etc.) with complex relationships between them. After spending hours trying to untangle these connections and burning through API calls, I decided there had to be a better way.
That’s when I discovered a sync tool that could handle the heavy lifting. Instead of writing custom migration scripts, I pointed it at my Airtable workspace and my Supabase instance. The tool automatically generated matching table structures in Supabase and properly mapped all the linked record fields to foreign key relationships.
The same approach worked perfectly with Neon using their PostgreSQL connector. Both platforms made it really easy to get the connection details needed.
After running the migration, everything transferred correctly. All records maintained their proper relationships and the foreign key constraints were set up perfectly. The whole process that would have taken me days of coding was done in minutes.
While the tool isn’t free, it saved me significant development time. For anyone looking to move from Airtable to a proper backend database, this approach might be worth considering. Has anyone else dealt with similar migration challenges?
Just wrapped up a similar move from Airtable to PostgreSQL through Railway and can confirm the automated sync approach is definitely the way to go. I initially tried the DIY route too but quickly realized I was underestimating the complexity of preserving data relationships properly. One aspect worth mentioning that caught me off guard was dealing with Airtable’s attachment fields during migration. These don’t map cleanly to standard database columns and required some additional handling to get the file URLs properly stored and accessible. Also discovered that Airtable’s date/time formatting can be inconsistent when pulled through the API, so had to add some validation steps to ensure proper timestamp formats in the target database. The sync tool handled most of this automatically but still worth double-checking your date fields post-migration. Overall the move has been worth it for query performance alone. Complex joins that would timeout in Airtable now run in milliseconds. The learning curve for proper database design principles was steeper than expected but definitely worthwhile for long-term scalability.
Had to do this migration for three different projects over the past two years and completely agree on the linked records being the worst part. The first time I tried the custom script route and it was a disaster - spent more time debugging relationship mappings than actually building features.
One thing I learned the hard way is to always run a data integrity check after migration. Even with automated tools, sometimes the relationships don’t translate perfectly, especially if you have any circular references or complex many-to-many setups.
For performance, I found Supabase handles concurrent reads better but Neon’s branching feature is really useful for testing migrations before going live. I actually run my migration on a Neon branch first, verify everything looks right, then promote it to main.
Also worth mentioning - make sure to export your Airtable automations and formulas separately. Those don’t transfer over and you’ll need to rebuild that logic in your application layer or use database triggers.
Nice timing on this post! just went thru something similar last month but stuck with writing my own scripts. probably should’ve looked into those sync tools first - would’ve saved me from debugging foreign key nightmares for weeks lol. which tool did you end up using? might be worth it for my next migration project
Been putting off this exact migration for months now. Your experience with the linked records mapping issues really resonates - I’ve got a similar setup with multiple interconnected tables and the thought of manually handling all those relationships has been keeping me on Airtable longer than I should. The API rate limiting is another pain point I hadn’t fully considered. Currently evaluating between Supabase and PlanetScale for my backend but sounds like the sync tool approach could work with either. Did you notice any performance differences between Neon and Supabase during your testing? Also curious about ongoing maintenance - are you planning to keep the sync running or was this a one-time migration?