Data Tables is a new area of the platform that lets you store, manage and connect structured data directly within your workflows. Whether you need to maintain a customer list, track approval statuses or reference a product catalogue, Data Tables gives you a persistent data layer that integrates seamlessly with your automation logic.

You can create a Data Table in several ways. Build one directly from the workflow canvas, import data using one of the provided templates for common use cases like invoices, customers, contacts, companies or tasks, or start from scratch and define your own structure. Each table supports familiar column types including text, number, toggle, date, single select, multi-select, list, object, file, user and relationship, giving you flexibility in how you model your information.

Once your table exists, you can configure its behaviour by adjusting the title and description, toggling manual row entry, enabling read-only mode or removing duplicate rows. Adding data is straightforward. You import records in bulk or create them one at a time, with the form adapting to the columns you have defined.

The real power of Data Tables comes from workflow integration. You can trigger automations based on table events such as when a record is created, updated, deleted or any combination of these, with optional filter conditions to control exactly when a workflow should run. From within a workflow, you can create, find, update or delete records, making it possible to use your tables as dynamic reference sources. This means you can store business rules or configuration values in a table and pull them into your workflows at runtime, keeping your logic flexible and your data centralised.

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