DatriseAI-first ETL

Front to Holistics Integration

AI-first ETL from Front into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Front into Holistics

Datrise syncs Front's conversations, messages, contacts, inboxes, tags, and teammates into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Front: Shared inbox for team email and messaging.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Front entities map to Holistics

Front entityHolistics objectNotes
conversationsfrontapp_conversationsid PK · custom fields → flattened columns for the modeling layer
messagesfrontapp_messagesid PK · linked to frontapp_conversations
contactsfrontapp_contactsid PK · linked to frontapp_conversations
inboxesfrontapp_inboxesid PK · linked to frontapp_conversations

FAQ

How does Datrise handle Front's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Front to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

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