> ## Documentation Index
> Fetch the complete documentation index at: https://docs.datachecks.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Test Data

> Generate synthetic test data that mirrors your production data patterns or build datasets from scratch.

Test data generation lets you create realistic synthetic datasets for migration testing without exposing real production data. Datachecks supports two approaches:

| Type                                    | When to use                                                                                                                                                                       |
| --------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [**Structural**](/test-data/structural) | You want to replicate the data patterns, structure, and sensitivity profile of an existing datasource. Datachecks analyzes your source and generates data that matches its shape. |
| [**Fabricate**](/test-data/fabricate)   | You want to build a dataset from scratch. You define the tables and columns yourself, and use data generators to populate each field.                                             |

Both types share the same configuration interface — Database View, Table View, Foreign Keys, and Data Targets — and support the full library of [Test Data Generators](/reference/functions).

Navigate to **Test Data** in the left sidebar and choose **Structural** or **Fabricate** to get started.