Google BigQuery to Qlik Integration

How Datrise loads Google BigQuery into Qlik

Datrise syncs Google BigQuery's datasets, tables, views, query jobs, table schemas, and partitions 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 BigQuery: Serverless analytics warehouse on Google Cloud.

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

How Google BigQuery entities map to Qlik

Google BigQuery entity	Qlik object	Notes
datasets	`bigquery_datasets`	id PK · custom fields → flattened columns for the data model
tables	`bigquery_tables`	id PK · linked to bigquery_datasets
views	`bigquery_views`	id PK · linked to bigquery_datasets
query jobs	`bigquery_query_jobs`	id PK · linked to bigquery_datasets

FAQ

How does Datrise handle Google BigQuery'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 BigQuery 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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