Smaily to GoodData Integration
AI-first ETL from Smaily into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Smaily into GoodData
Datrise syncs Smaily's subscribers, campaigns, lists, autoresponders, email events, and segments 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
Smaily: Email and SMS campaigns with subscriber segments.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Smaily entities map to GoodData
| Smaily entity | GoodData object | Notes |
|---|---|---|
| subscribers | smaily_subscribers | id PK · custom fields → flattened columns |
| campaigns | smaily_campaigns | id PK · linked to smaily_subscribers |
| lists | smaily_lists | id PK · linked to smaily_subscribers |
| autoresponders | smaily_autoresponders | id PK · linked to smaily_subscribers |
FAQ
How does Datrise handle Smaily'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 Smaily 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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