DatriseAI-first ETL

Yotpo Snowflake

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

How Datrise loads Yotpo into Snowflake

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

Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.

Ideal for central analytics warehouses feeding BI and AI workloads.

Endpoints

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

Snowflake: Cloud data warehouse with separated compute and storage.

How Yotpo entities map to Snowflake

Yotpo entitySnowflake objectNotes
reviewsyotpo_reviewsid PK · custom fields → VARIANT columns
loyalty membersyotpo_loyalty_membersid PK · linked to yotpo_reviews
redemptionsyotpo_redemptionsid PK · linked to yotpo_reviews
campaign eventsyotpo_campaign_eventsTIMESTAMP_TZ events

FAQ

How does Datrise handle Yotpo's custom fields in Snowflake?

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

How does the Yotpo to Snowflake sync stay up to date?

It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.

Related pipelines

Early access

Connect Yotpo to Snowflake the easy way

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