Yotpo → DuckDB
AI-first ETL from Yotpo into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Yotpo into DuckDB
Datrise syncs Yotpo's reviews, loyalty members, redemptions, and campaign events into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
Yotpo: Reviews and loyalty marketing for e-commerce brands.
DuckDB: In-process analytics database for fast local OLAP.
How Yotpo entities map to DuckDB
| Yotpo entity | DuckDB object | Notes |
|---|---|---|
| reviews | yotpo_reviews | id PK · custom fields → JSON or STRUCT columns |
| loyalty members | yotpo_loyalty_members | id PK · linked to yotpo_reviews |
| redemptions | yotpo_redemptions | id PK · linked to yotpo_reviews |
| campaign events | yotpo_campaign_events | TIMESTAMP WITH TIME ZONE events |
FAQ
How does Datrise handle Yotpo's custom fields in DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the Yotpo to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
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Early access
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