Airtable to Convex: How to Move Your Data

Move Airtable into Convex with Airbyte. Why you must name one authoritative writer, and how to rebuild linked records after the import.

Summarize with AI:

Moving Airtable into Convex is almost always a migration. A base that grew into an internal product eventually needs real software around it, and getting the existing records into the backend you are building on is the first practical step of that.

This guide covers the managed path with Airbyte. Two things shape the build: deciding who edits records once both systems hold them, and the fact that Airtable's links between tables mean nothing on the other side.

Airtable to Convex at a glance:

CapabilitySupportedWhat it means for this pipeline
DirectionImport onlyNothing flows back from Convex through Airbyte
Destination stageBetaWorth proving before you retire anything
Linked recordsAirtable record IDsWhich are not Convex document identifiers
Table namesRules applyCheck yours before a migration you have scheduled
Renaming a tableStops that streamUntil you reset the schema and select it again

Why move data from Airtable to Convex?

One situation genuinely suits this, and it is narrower than it sounds.

The good case is leaving. Airtable is excellent until a process outgrows it, and when you build a proper application the existing records have to come with you. A connector does that job better than an export script somebody maintains through several attempts at getting it right.

The poor case is analysis, since neither system aggregates well and this is not a reporting arrangement. If somebody wants to query the base with SQL, Airtable to BigQuery serves that far better and leaves the application question alone.

What do you need before you start?

Four things, and the first is the decision the whole project rests on:

An answer to who edits records after the move. The destination is import only, so nothing you change in Convex returns to Airtable, and two places accepting edits means two versions of the truth.

Airtable credentials, preferably a scoped token. OAuth is recommended on Cloud and the documentation notes it can produce 400 or 401 sync failures, which is worth avoiding during a migration. The Airtable source documentation covers both routes.

A Convex deployment and its naming rules checked. The destination is in beta, and table naming restrictions are much better discovered now than partway through a cutover you have scheduled.

A plan for the relationships. Linked record fields arrive as Airtable identifiers, which your application cannot use to find anything, so translating them is work you should expect rather than discover.

If your organisation restricts access by IP, add the Airbyte Cloud IP addresses to the allow list before you begin.

How do you build an Airtable to Convex pipeline in Airbyte?

Step 1: Decide the cutover before you move anything

Agree the date after which people stop editing the base and start using the application, and tell them. A migration with a cutover is a project; a migration without one is two systems drifting apart while everybody assumes somebody is reconciling them. This matters more here than in most moves because nothing flows back from Convex, so an edit made in the new application is invisible to anybody still working in Airtable.

Step 2: Configure the Airtable source

Click Sources in the left navigation, then New Source, and select Airtable, following adding a source. Authorise the base you are migrating. Ask people to stop renaming tables during the migration window, since a rename stops that stream until somebody resets the connection schema.

Step 3: Configure the Convex destination

Click Destinations, then New Destination, and select Convex, following adding a destination. Supply your deployment details and access key, and check your table names against Convex's rules first. Treat what lands as a staging area rather than as your application's schema.

Step 4: Create the connection and rehearse the timing

Click Connections, then New connection, select your tables and a sync mode. Run the whole thing once against a test deployment and time it, because a cutover is a poor moment to learn how long a large base takes and the destination is still in beta.

Then write the function that turns imported records into your application's own tables, resolving relationships as it goes.

Who edits the records after this?

One system, chosen deliberately, because the pipeline runs in one direction and cannot help you otherwise. The Convex destination imports, and there is no Convex source to bring changes back through Airbyte, so anything your application writes stays there and anything edited in Airtable arrives on the next sync and may overwrite it.

That produces a specific and common mess. A team keeps updating the base because it is familiar, while early users of the new application update records there, and neither group knows the other exists. By the time somebody notices, both versions have real changes in them and merging is a manual exercise nobody budgeted for.

So pick one writer and make it obvious. Either Airtable stays authoritative until cutover, with the application read-only until then, or the application takes over on a date and the base becomes reference material you stop editing. Both work. What does not work is leaving it unstated, and a banner in the base saying which one applies costs nothing.

How do linked records survive the move?

Only if you translate them, because what arrives is meaningless on the other side. Airtable expresses a relationship as a linked record field holding Airtable's own record identifiers, and those identifiers refer to rows in a base your application knows nothing about. The structure survives; the references do not.

This is the part of an Airtable migration people underestimate, because in the base the links simply work. A table of projects pointing at a table of clients looks like a foreign key and behaves like one in the interface, and after the import it is an array of strings that resolve to nothing your code can look up.

The practical approach is a two-pass migration. Import every table and keep each record's Airtable identifier as an ordinary field, then run a function that creates your application documents and resolves the links by looking up those retained identifiers. Keep them afterwards rather than discarding them, since they are how you reconcile against the base while anybody is still checking that the migration was complete.

Frequently asked questions

Can changes in Convex flow back to Airtable?

Not through Airbyte, since the destination is import only and there is no Convex source. Decide which system is authoritative rather than hoping they stay aligned.

Why do my relationships not work after the import?

Linked record fields carry Airtable record identifiers, which mean nothing in Convex. Retain them as a field and resolve them to your own document identifiers in a second pass.

A table stopped importing partway through.

Somebody probably renamed it in Airtable. Reset the connection schema and select it again, and ask people to avoid renames during the migration window.

Should I keep Airtable running afterwards?

Until the migration is proven, yes, particularly since the destination is in beta and there is no route back. Keep it read-only rather than editable.

Can I do this without writing code?

The import, yes. The function that resolves relationships and builds your application's tables is code, and it is what turns an import into a migration.

Get your Airtable data into Convex

Agree a cutover and name one system as authoritative, because nothing returns from Convex and two sets of edits is the usual way these go wrong. Check Convex table naming rules early and rehearse the timing against a test deployment. Then plan a second pass that resolves linked records, keeping each Airtable identifier as a field so relationships can be rebuilt and the result reconciled against the base.

Airbyte's connector catalog includes 600+ pre-built connectors, so a process that outgrew a spreadsheet can move onto real software. For another application backend into the same destination, see Firebase Realtime Database to Convex, and for analytical results into the same destination, ClickHouse to Convex.

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