DatriseAI-first ETL

Revinate to Amazon QuickSight Integration

AI-first ETL from Revinate into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.

How Datrise loads Revinate into Amazon QuickSight

Datrise syncs Revinate's guests, reservations, reviews, campaigns, hotels, and guest profiles 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

Revinate: Hospitality guest data and reputation management.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Revinate entities map to Amazon QuickSight

Revinate entityAmazon QuickSight objectNotes
guestsrevinate_guestsid PK · custom fields → flattened columns for analyses
reservationsrevinate_reservationsid PK · linked to revinate_guests
reviewsrevinate_reviewsid PK · linked to revinate_guests
campaignsrevinate_campaignsid PK · linked to revinate_guests

FAQ

How does Datrise handle Revinate'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 Revinate to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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