Zenloop to DuckDB Integration

How Datrise loads Zenloop into DuckDB

Datrise syncs Zenloop's surveys, answers, NPS scores, respondents, sentiment labels, and feedback topics 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

Zenloop: NPS surveys and customer feedback analysis.

DuckDB: In-process analytics database for fast local OLAP.

How Zenloop entities map to DuckDB

Zenloop entity	DuckDB object	Notes
surveys	`zenloop_surveys`	id PK · custom fields → JSON or STRUCT columns
answers	`zenloop_answers`	id PK · linked to zenloop_surveys
NPS scores	`zenloop_nps_scores`	id PK · linked to zenloop_surveys
respondents	`zenloop_respondents`	id PK · linked to zenloop_surveys

FAQ

How does Datrise handle Zenloop'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 Zenloop to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

Connect Zenloop to DuckDB the easy way

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