DatriseAI-first ETL

PostgreSQL to Qlik Integration

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

How Datrise loads PostgreSQL into Qlik

Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots 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

PostgreSQL: Self-managed PostgreSQL instances.

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

How PostgreSQL entities map to Qlik

PostgreSQL entityQlik objectNotes
tableshp_postgres_tablesid PK · custom fields → flattened columns for the data model
rowshp_postgres_rowsid PK · linked to hp_postgres_tables
schemashp_postgres_schemasid PK · linked to hp_postgres_tables
indexeshp_postgres_indexesid PK · linked to hp_postgres_tables

FAQ

How does Datrise handle PostgreSQL'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 PostgreSQL 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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