DatriseAI-first ETL

Azure Table Storage to Qlik Integration

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

How Datrise loads Azure Table Storage into Qlik

Datrise syncs Azure Table Storage's tables, entities, partition keys, row keys, properties, and timestamps 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

Azure Table Storage: Key-value NoSQL store on Azure.

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

How Azure Table Storage entities map to Qlik

Azure Table Storage entityQlik objectNotes
tablesazure_table_storage_tablesid PK · custom fields → flattened columns for the data model
entitiesazure_table_storage_entitiesid PK · linked to azure_table_storage_tables
partition keysazure_table_storage_partition_keysid PK · linked to azure_table_storage_tables
row keysazure_table_storage_row_keysid PK · linked to azure_table_storage_tables

FAQ

How does Datrise handle Azure Table Storage'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 Azure Table Storage to Qlik sync stay up to date?

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

Related pipelines

Early access

Connect Azure Table Storage 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.