DatriseAI-first ETL

Google Ads Qlik

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

How Datrise loads Google Ads into Qlik

Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals 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

Google Ads: Paid media source for campaign and conversion metrics.

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

How Google Ads entities map to Qlik

Google Ads entityQlik objectNotes
campaignsgoogle_ads_campaignsid PK · custom fields → flattened columns for the data model
ad groupsgoogle_ads_ad_groupsid PK · linked to google_ads_campaigns
spendgoogle_ads_spendid PK · linked to google_ads_campaigns
clicksgoogle_ads_clicksid PK · linked to google_ads_campaigns

FAQ

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

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

Related pipelines

Early access

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