HubDB Tables

HubSpot HubDB Table Migration

Schema preservation. Row data transfer. Dynamic page support.

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HubDB Tables in JetStack AI
The challenge

The challenge

HubDB tables store structured data that powers dynamic pages, listings, and lookup modules. Migrating them means transferring column schemas, row data, and dynamic page configurations.

Complex schemas to recreate

Each table has typed columns — text, number, date, select, multi-select, image, video, URL, and rich text. Each column must be recreated with the correct type and options.

Row data is tedious

Tables with hundreds of rows must have data re-entered or imported via CSV. Complex column types like images and rich text do not export cleanly.

Dynamic pages depend on tables

HubDB-powered dynamic pages reference specific table IDs and column names. Moving a table breaks all dependent pages.

Foreign key references break

Tables that reference other tables via foreign keys must be migrated in the correct order to maintain relationships.

Our approach

How JetStack AI migrates HubDB tables

JetStack AI transfers HubDB tables with complete column schemas, row data, foreign key relationships, and dynamic page configurations.

Schema transfer

Column names, types, options, and ordering are recreated exactly. All column types are supported including images and rich text.

Row data migration

All row data is transferred with correct column mapping. Complex types like images, URLs, and multi-selects are handled natively.

Foreign key resolution

Table-to-table references are resolved and remapped to new table IDs in the destination portal.

Dynamic page support

Table IDs are mapped so dynamic pages can reference the correct tables after migration.

The result

JetStack AI migrates your HubDB tables with complete data and relationship fidelity.

How it works

How it works

01

Scan tables

JetStack AI reads all HubDB tables — schemas, rows, foreign keys, and publishing status.

02

Order by dependencies

Tables with foreign key relationships are ordered so referenced tables are created first.

03

Create tables and rows

Tables are created with correct schemas, then rows are inserted with all data and references mapped.

04

Publish and verify

Tables are published and verified against source data. Row counts and column integrity are confirmed.

Results

The difference JetStack AI makes

Tables per migration 20+
Rows transferred 1000+
Schema accuracy 100%
Broken references 0

Before JetStack AI, migrating HubDB tables meant exporting CSVs, recreating schemas, and re-importing data with formatting issues. Foreign keys broke and dynamic pages stopped rendering. With JetStack AI, tables migrate with perfect fidelity.

Migrate your HubDB tables with complete data integrity.

Ready to migrate your tables?

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FAQ

Frequently asked questions

Are all column types supported?

Yes — text, rich text, number, date, datetime, select, multi-select, URL, image, video, and foreign key columns.

What about published vs draft tables?

Both published and draft tables are migrated. Publishing status is preserved.

How are foreign keys handled?

Foreign key columns are remapped to the correct table IDs in the destination portal.

Can I migrate specific rows?

Yes, you can filter rows to migrate a subset of data from any table.

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