Zenloop to Birst Integration
AI-first ETL from Zenloop into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zenloop into Birst
Datrise syncs Zenloop's surveys, answers, NPS scores, respondents, sentiment labels, and feedback topics into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Zenloop: NPS surveys and customer feedback analysis.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Zenloop entities map to Birst
| Zenloop entity | Birst object | Notes |
|---|---|---|
| surveys | zenloop_surveys | id PK · custom fields → flattened 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 Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Zenloop to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Zenloop
Early access
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