DatriseAI-first ETL

Revinate to Amazon DynamoDB Integration

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

How Datrise loads Revinate into Amazon DynamoDB

Datrise syncs Revinate's guests, reservations, reviews, campaigns, hotels, and guest profiles into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.

Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.

Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.

Endpoints

Revinate: Hospitality guest data and reputation management.

Amazon DynamoDB: Serverless key-value and document store on AWS.

How Revinate entities map to Amazon DynamoDB

Revinate entityAmazon DynamoDB objectNotes
guestsrevinate_guestsid PK · custom fields → nested map/list attributes
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 DynamoDB?

Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.

How does the Revinate to Amazon DynamoDB sync stay up to date?

It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.

Related pipelines

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