DatriseAI-first ETL

Sailthru to Holistics Integration

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

How Datrise loads Sailthru into Holistics

Datrise syncs Sailthru's users, campaigns, blasts, message events, lists, and content items 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

Sailthru: Personalized email and onsite content targeting.

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

How Sailthru entities map to Holistics

Sailthru entityHolistics objectNotes
userssailthru_usersid PK · custom fields → flattened columns for the modeling layer
campaignssailthru_campaignsid PK · linked to sailthru_users
blastssailthru_blastsid PK · linked to sailthru_users
message eventssailthru_message_eventsdate/time dimensions events

FAQ

How does Datrise handle Sailthru'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 Sailthru to Holistics sync stay up to date?

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

Related pipelines

Early access

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