Microsoft SQL Server to Qlik Integration

How Datrise loads Microsoft SQL Server into Qlik

Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking 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

Microsoft SQL Server: Microsoft SQL Server transactional databases.

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

How Microsoft SQL Server entities map to Qlik

Microsoft SQL Server entity	Qlik object	Notes
tables	`mssql_sql_server_tables`	id PK · custom fields → flattened columns for the data model
rows	`mssql_sql_server_rows`	id PK · linked to mssql_sql_server_tables
schemas	`mssql_sql_server_schemas`	id PK · linked to mssql_sql_server_tables
indexes	`mssql_sql_server_indexes`	id PK · linked to mssql_sql_server_tables

FAQ

How does Datrise handle Microsoft SQL Server'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 Microsoft SQL Server to Qlik sync stay up to date?

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

Related pipelines

Early access

Connect Microsoft SQL Server to Qlik the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.