DatriseAI-first ETL

Facebook Ads Qlik

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

How Datrise loads Facebook Ads into Qlik

Datrise syncs Facebook Ads's campaigns, ad sets, ads, spend, and conversion metrics 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

Facebook Ads: Meta paid social campaigns and performance insights.

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

How Facebook Ads entities map to Qlik

Facebook Ads entityQlik objectNotes
campaignsfacebook_ads_campaignsid PK · custom fields → flattened columns for the data model
ad setsfacebook_ads_ad_setsid PK · linked to facebook_ads_campaigns
adsfacebook_ads_adsid PK · linked to facebook_ads_campaigns
spendfacebook_ads_spendid PK · linked to facebook_ads_campaigns

FAQ

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

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

Related pipelines

Early access

Connect Facebook Ads to Qlik the easy way

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