DatriseAI-first ETL

Freshcaller to Qlik Integration

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

How Datrise loads Freshcaller into Qlik

Datrise syncs Freshcaller's calls, agents, queues, phone numbers, call metrics, and recordings 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

Freshcaller: Cloud call center for support and sales.

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

How Freshcaller entities map to Qlik

Freshcaller entityQlik objectNotes
callsfreshcaller_callsid PK · custom fields → flattened columns for the data model
agentsfreshcaller_agentsid PK · linked to freshcaller_calls
queuesfreshcaller_queuesid PK · linked to freshcaller_calls
phone numbersfreshcaller_phone_numbersid PK · linked to freshcaller_calls

FAQ

How does Datrise handle Freshcaller'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 Freshcaller 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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