DatriseAI-first ETL

Yotpo Amazon QuickSight

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

How Datrise loads Yotpo into Amazon QuickSight

Datrise syncs Yotpo's reviews, loyalty members, redemptions, and campaign events 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

Yotpo: Reviews and loyalty marketing for e-commerce brands.

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

How Yotpo entities map to Amazon QuickSight

Yotpo entityAmazon QuickSight objectNotes
reviewsyotpo_reviewsid PK · custom fields → flattened columns for analyses
loyalty membersyotpo_loyalty_membersid PK · linked to yotpo_reviews
redemptionsyotpo_redemptionsid PK · linked to yotpo_reviews
campaign eventsyotpo_campaign_eventsdate/time fields events

FAQ

How does Datrise handle Yotpo'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 Yotpo 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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