Coming Soon in Platform | shared reference datasets for automations

Automations can now query shared reference tables stored in Fountain Settings, so implementation teams can manage mapping data in one place instead of rebuilding it per workflow.

Datasets are shared reference tables that automations can filter against and use for value translation. Teams building automations that need large shared lists — such as compliance allowlists, HRIS code mappings, or UUID translation tables — can store them in Fountain Settings and reference them across automations without duplicating data.

What's new

• Store CSV datasets in Fountain Settings: upload and edit reference tables up to 50,000 rows directly in the platform.

• Filter automations against datasets: use an "is in dataset" condition to check whether a field value appears in a reference list.

• Translate values in pipelines: map opaque codes to Fountain taxonomy using a dataset lookup, including VLOOKUP-style attribute updates.

• Dataset Search API: query datasets programmatically for use in custom scripts and external integrations.

Why it matters

Before datasets, large reference lists had to be managed outside Fountain and rebuilt per workflow. Datasets give teams a single place to store and maintain shared lookup tables, reducing setup time and keeping automation logic clean.

What to expect

• Maximum 50,000 rows per dataset; no column limit.

• CSV upload and export supported. Inline editing is available for smaller tables.

• Google Sheets sync and JSON import are not supported in this release.

• Datasets are visible and searchable in Fountain Settings.

Availability

Release type: Coming soon — new feature

• Sandbox first, then production rollout.

• Customers on select plans may have this feature enabled on a phased basis. Contact your Customer Success team for details.

Help Center Documentation

• Using datasets in automations — How to create and manage shared reference tables and reference them in automation filters and value translations.