ClickHouse to Qlik Integration

How Datrise loads ClickHouse into Qlik

Datrise syncs ClickHouse's tables, rows, partitions, materialized views, table schemas, and merge parts 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

ClickHouse: Column-oriented database for real-time analytics.

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

How ClickHouse entities map to Qlik

ClickHouse entity	Qlik object	Notes
tables	`clickhouse_tables`	id PK · custom fields → flattened columns for the data model
rows	`clickhouse_rows`	id PK · linked to clickhouse_tables
partitions	`clickhouse_partitions`	id PK · linked to clickhouse_tables
materialized views	`clickhouse_materialized_views`	id PK · linked to clickhouse_tables

FAQ

How does Datrise handle ClickHouse'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 ClickHouse 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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