DatriseAI-first ETL

Trustpilot to Snowflake Integration

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

How Datrise loads Trustpilot into Snowflake

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

Trustpilot: Consumer reviews and business reputation data.

Snowflake: Cloud data warehouse with separated compute and storage.

How Trustpilot entities map to Snowflake

Trustpilot entitySnowflake objectNotes
reviewstrustpilot_reviewsid PK · custom fields → VARIANT columns
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 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 Trustpilot 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 Trustpilot to Snowflake the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.