DatriseAI-first ETL

Close Qlik

AI-first ETL from Close into Qlik. Governed entities, incremental sync, typed landing tables.

How Datrise loads Close into Qlik

Datrise syncs Close's leads, opportunities, calls, SMS events, and sequence performance 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

Close: Inside-sales CRM with calling and sequences.

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How Close entities map to Qlik

Close entityQlik objectNotes
leadsclose_leadsid PK · custom fields → flattened columns for the data model
opportunitiesclose_opportunitiesid PK · linked to close_leads
callsclose_callsid PK · linked to close_leads
SMS eventsclose_sms_eventsdate/time fields events

FAQ

How does Datrise handle Close'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 Close to Qlik sync stay up to date?

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

Related pipelines

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