Pendo → Qlik
AI-first ETL from Pendo into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pendo into Qlik
Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata 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
Pendo: Product analytics and in-app guidance for SaaS teams.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Pendo entities map to Qlik
| Pendo entity | Qlik object | Notes |
|---|---|---|
| events | pendo_events | date/time fields events |
| guides | pendo_guides | id PK · linked to pendo_events |
| NPS | pendo_nps | id PK · linked to pendo_events |
| feature adoption | pendo_feature_adoption | id PK · linked to pendo_events |
FAQ
How does Datrise handle Pendo'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 Pendo to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
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