Public API to Qlik Integration
AI-first ETL from Public API into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Public API into Qlik
Datrise syncs Public API's records, response payloads, pagination cursors, request parameters, schemas, and fetch timestamps into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.
Ideal for associative, in-memory exploration in Qlik Sense.
Endpoints
Public API: Generic REST endpoint pulled on a schedule.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Public API entities map to Qlik
| Public API entity | Qlik object | Notes |
|---|---|---|
| records | public_api_records | id PK · custom fields → flattened columns for the data model |
| response payloads | public_api_response_payloads | id PK · linked to public_api_records |
| pagination cursors | public_api_pagination_cursors | id PK · linked to public_api_records |
| request parameters | public_api_request_parameters | id PK · linked to public_api_records |
FAQ
How does Datrise handle Public API's custom fields in Qlik?
Flexible values are stored as flattened columns for the data model, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Qlik types.
How does the Public API to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
Related pipelines
More destinations for Public API
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