DatriseAI-first ETL

Yotpo Amazon Redshift

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

How Datrise loads Yotpo into Amazon Redshift

Datrise syncs Yotpo's reviews, loyalty members, redemptions, and campaign events into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

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

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Yotpo entities map to Amazon Redshift

Yotpo entityAmazon Redshift objectNotes
reviewsyotpo_reviewsid PK · custom fields → SUPER columns
loyalty membersyotpo_loyalty_membersid PK · linked to yotpo_reviews
redemptionsyotpo_redemptionsid PK · linked to yotpo_reviews
campaign eventsyotpo_campaign_eventsTIMESTAMPTZ events

FAQ

How does Datrise handle Yotpo's custom fields in Amazon Redshift?

Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.

How does the Yotpo to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

Connect Yotpo to Amazon Redshift the easy way

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