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Comparisons

UI Bakery vs Whalesync vs Airbyte vs NocoDB vs Baserow vs AT Migrator

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Six tools can move Airtable data toward PostgreSQL, and they are not interchangeable. Some migrate, some sync, and some import into their own app. This page shows what they all do, where they differ, and lets you weigh the differences for your own case, so you can narrow the choice quickly and read the detailed comparison for the tools you are still weighing.

What all six do

  • They all move your stored data out of Airtable: records, text, numbers, and dates come across in every one of them.
  • Five of the six write into a database you can reach directly: only Baserow keeps the data in its own layout with no direct access on its cloud service.

Everything else is where they split, and it comes down to what Airtable calculates and how your tables relate to each other.

Where they differ

The points most tools meet come first, then the ones only a few do.

Writes into a database you can reach directly

AT Migrator

Yes: Your own PostgreSQL, full access

UI Bakery

Yes: Your own PostgreSQL

Whalesync

Yes: Your own Postgres, tables you create first

Airbyte

Yes: Your own Postgres

NocoDB

Yes: An external database you connect, or its own

Baserow

No: Only if you self-host, none on Baserow Cloud

Gives you an interface to work with the data

AT Migrator

No: No interface, pair it with NocoDB or Baserow

UI Bakery

Yes: Builds internal tools and admin panels on your data

Whalesync

No: No interface, it only syncs

Airbyte

No: No interface for the data

NocoDB

Yes: Airtable-style interface, views and forms

Baserow

Yes: Airtable-style interface, views and forms

Keeps syncing with Airtable

AT Migrator

No: A short bridge while you move, not a permanent mirror

UI Bakery

No: One-off copy

Whalesync

Yes: Two-way sync, kept live

Airbyte

Yes: Scheduled syncs into your destination

NocoDB

No: One-off import

Baserow

No: One-off import

Pay once for the migration

AT Migrator

Yes: One-time payment per migration

UI Bakery

Yes: Free tool, nothing ongoing

Whalesync

No: Monthly subscription while it syncs

Airbyte

No: Run it yourself, or a managed plan

NocoDB

No: Self-host it, or per-seat cloud plans

Baserow

No: Self-host it, or per-user cloud plans

Formulas become SQL

AT Migrator

Yes: Translated into SQL expressions

UI Bakery

No: Not on its supported-data list

Whalesync

No: Synced as read-only values

Airbyte

No: Copied as values, not logic

NocoDB

No: Skipped on import

Baserow

No: Dropped, with their values

Rollups and lookups become SQL

AT Migrator

Yes: Joins and aggregate queries

UI Bakery

No: Not supported

Whalesync

No: One-way values only

Airbyte

No: Copied as arrays of values

NocoDB

No: Imported as NocoDB fields, not SQL

Baserow

No: Dropped, with their values

Links become foreign keys or junction tables

AT Migrator

Yes: Chosen by each link’s cardinality

UI Bakery

No: Not supported

Whalesync

No: Only if you build the tables yourself

Airbyte

No: Arrays of record IDs

NocoDB

No: Every link made many-to-many

Baserow

No: Kept as Baserow links, one-record limit dropped

Attachments copied to storage you control

AT Migrator

Yes: Your own S3-compatible bucket

UI Bakery

No: Listed as supported, destination not stated

Whalesync

No: Airtable links that expire

Airbyte

No: A string in the row, file stays in Airtable

NocoDB

No: Import can be switched on, destination not stated

Baserow

No: Re-uploaded into Baserow’s own storage

Resumes an interrupted or large run

AT Migrator

Yes: Skips finished tables, resumes the rest

UI Bakery

No: No resume documented

Whalesync

No: Not a one-off run: it syncs continuously

Airbyte

No: Full refresh only, re-reads the base each run

NocoDB

No: No resume documented

Baserow

No: Large imports have needed a manual route

Clear schema you can build a custom application on

AT Migrator

Yes: Tables and columns named after yours, with foreign keys

UI Bakery

No: Flat tables only, no relationships

Whalesync

No: You design it by hand, formulas stay static values

Airbyte

No: Arrays and JSONB, plus its own metadata columns

NocoDB

No: A join table for every link, whatever its shape

Baserow

No: Tables and columns named by ID, logic in its metadata
A check means the tool does it. A cross means it does not, or does not say that it does. Based on each tool’s documentation and, where the code is open source, the code itself, as of October 2026.

Decision matrix

Not every point matters equally to everyone. Set a weight on each one, remove the ones that do not apply to you, and see which tool fits best.

What mattersWeight: 1 nice to have, 5 must have
  • Writes into a database you can reach directly

    You can connect to the data with any tool

  • Gives you an interface to work with the data

    Your team can view and edit records in a UI

  • Keeps syncing with Airtable

    Airtable stays in use and the copy stays current

  • Pay once for the migration

    No subscription once the move is done

  • Formulas become SQL

    Calculated fields keep working in Postgres

  • Rollups and lookups become SQL

    Totals and pulled-in values stay live

  • Links become foreign keys or junction tables

    Relationships keep their real shape

  • Attachments copied to storage you control

    Files do not depend on Airtable links

  • Resumes an interrupted or large run

    A big base can finish without starting over

  • Clear schema you can build a custom application on

    Room to build your own app or switch tools later

Best match for you
  1. AT MigratorBest match

    80%

    Meets 8 of 10 of your points

  2. UI Bakery

    30%

    Meets 3 of 10 of your points

  3. Whalesync

    20%

    Meets 2 of 10 of your points

  4. Airbyte

    20%

    Meets 2 of 10 of your points

  5. NocoDB

    20%

    Meets 2 of 10 of your points

  6. Baserow

    10%

    Meets 1 of 10 of your points

Quick decision

  • Leaving Airtable, with formulas, links, and files that must survive: AT Migrator.
  • Airtable stays, and Postgres needs a live copy: Whalesync, or Airbyte for a warehouse.
  • An interface on top of your data: NocoDB or Baserow, or either one on a database AT Migrator built.
  • A small, flat base: UI Bakery's free tool.
  • Owning the data and building your own application later: AT Migrator. Baserow is the weakest fit.

Read the detailed comparisons

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FAQ

Frequently asked questions

Quick answers to the questions teams ask most about this topic.

Of the six compared here, only AT Migrator translates Airtable formulas into SQL. Whalesync and Airbyte copy the values, NocoDB skips formula fields, Baserow drops them, and UI Bakery does not list them as supported.

AT Migrator, which chooses a foreign key or a junction table from each link's cardinality. The others either do not support links, copy them as arrays of IDs, or turn every link into a many-to-many relationship.

NocoDB or Baserow. Both give you an Airtable-style interface, and either can sit on top of a PostgreSQL database that AT Migrator built.

AT Migrator, which creates tables and columns named after your Airtable base, with foreign keys and SQL logic. The others leave flat tables, arrays and JSONB, a join table per link, or a layout built around the tool, as Baserow's is.

Whalesync, which keeps Airtable and Postgres in step, or Airbyte if the destination is a warehouse for reporting.

From each tool's documentation and, for the open-source ones, its code, as of October 2026. A cross means the tool does not do it, or does not document that it does. Each detailed comparison explains the evidence for that tool.