EspoCRM → Qlik
AI-first ETL from EspoCRM into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads EspoCRM into Qlik
Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation events 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
EspoCRM: Open-source CRM for pipeline management and custom entity modeling.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How EspoCRM entities map to Qlik
| EspoCRM entity | Qlik object | Notes |
|---|---|---|
| pipeline entities | espocrm_pipeline_entities | id PK · custom fields → flattened columns for the data model |
| custom objects | espocrm_custom_objects | id PK · linked to espocrm_pipeline_entities |
| process automation events | espocrm_process_automation_events | date/time fields events |
FAQ
How does Datrise handle EspoCRM'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 EspoCRM to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
Related pipelines
More destinations for EspoCRM
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