Sailthru to GoodData Integration
AI-first ETL from Sailthru into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Sailthru into GoodData
Datrise syncs Sailthru's users, campaigns, blasts, message events, lists, and content items into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Sailthru: Personalized email and onsite content targeting.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Sailthru entities map to GoodData
| Sailthru entity | GoodData object | Notes |
|---|---|---|
| users | sailthru_users | id PK · custom fields → flattened columns |
| campaigns | sailthru_campaigns | id PK · linked to sailthru_users |
| blasts | sailthru_blasts | id PK · linked to sailthru_users |
| message events | sailthru_message_events | date dimensions events |
FAQ
How does Datrise handle Sailthru's custom fields in GoodData?
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 GoodData types.
How does the Sailthru to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
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