DatriseAI-first ETL

Trustpilot to Amazon DynamoDB Integration

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

How Datrise loads Trustpilot into Amazon DynamoDB

Datrise syncs Trustpilot's reviews, business units, consumers, star ratings, replies, and invitations 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

Trustpilot: Consumer reviews and business reputation data.

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

How Trustpilot entities map to Amazon DynamoDB

Trustpilot entityAmazon DynamoDB objectNotes
reviewstrustpilot_reviewsid PK · custom fields → nested map/list attributes
business unitstrustpilot_business_unitsid PK · linked to trustpilot_reviews
consumerstrustpilot_consumersid PK · linked to trustpilot_reviews
star ratingstrustpilot_star_ratingsid PK · linked to trustpilot_reviews

FAQ

How does Datrise handle Trustpilot'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 Trustpilot 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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