Responsys to GoodData Integration
AI-first ETL from Responsys into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Responsys into GoodData
Datrise syncs Responsys's contacts, campaigns, launches, message events, lists, and profile extensions 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
Responsys: Enterprise cross-channel campaign orchestration.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Responsys entities map to GoodData
| Responsys entity | GoodData object | Notes |
|---|---|---|
| contacts | responsys_contacts | id PK · custom fields → flattened columns |
| campaigns | responsys_campaigns | id PK · linked to responsys_contacts |
| launches | responsys_launches | id PK · linked to responsys_contacts |
| message events | responsys_message_events | date dimensions events |
FAQ
How does Datrise handle Responsys'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 Responsys to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Responsys
Early access
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