Front to Yellowfin Integration
AI-first ETL from Front into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Front into Yellowfin
Datrise syncs Front's conversations, messages, contacts, inboxes, tags, and teammates into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Front: Shared inbox for team email and messaging.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Front entities map to Yellowfin
| Front entity | Yellowfin object | Notes |
|---|---|---|
| conversations | frontapp_conversations | id PK · custom fields → flattened columns |
| messages | frontapp_messages | id PK · linked to frontapp_conversations |
| contacts | frontapp_contacts | id PK · linked to frontapp_conversations |
| inboxes | frontapp_inboxes | id PK · linked to frontapp_conversations |
FAQ
How does Datrise handle Front's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Front to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Front
More sources for Yellowfin
Early access
Connect Front to Yellowfin the easy way
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