Selligent to Amazon QuickSight Integration
AI-first ETL from Selligent into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads Selligent into Amazon QuickSight
Datrise syncs Selligent's contacts, journeys, campaigns, message events, lists, and real-time triggers into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.
Ideal for AWS-native dashboards with pay-per-session pricing.
Endpoints
Selligent: Enterprise cross-channel campaigns with real-time triggers.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How Selligent entities map to Amazon QuickSight
| Selligent entity | Amazon QuickSight object | Notes |
|---|---|---|
| contacts | selligent_contacts | id PK · custom fields → flattened columns for analyses |
| journeys | selligent_journeys | id PK · linked to selligent_contacts |
| campaigns | selligent_campaigns | id PK · linked to selligent_contacts |
| message events | selligent_message_events | date/time fields events |
FAQ
How does Datrise handle Selligent's custom fields in Amazon QuickSight?
Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.
How does the Selligent to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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