DatriseAI-first ETL

Revinate to Redash Integration

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

How Datrise loads Revinate into Redash

Datrise syncs Revinate's guests, reservations, reviews, campaigns, hotels, and guest profiles into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Revinate: Hospitality guest data and reputation management.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Revinate entities map to Redash

Revinate entityRedash objectNotes
guestsrevinate_guestsid PK · custom fields → flattened columns for query results
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 Redash?

Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.

How does the Revinate to Redash sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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