Looker to MicroStrategy Integration

How Datrise loads Looker into MicroStrategy

Datrise syncs Looker's looks, dashboards, explores, queries, users, and scheduled plans into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Looker: BI platform with a modeled semantic layer.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Looker entities map to MicroStrategy

Looker entity	MicroStrategy object	Notes
looks	`looker_looks`	id PK · custom fields → flattened columns
dashboards	`looker_dashboards`	id PK · linked to looker_looks
explores	`looker_explores`	id PK · linked to looker_looks
queries	`looker_queries`	id PK · linked to looker_looks

FAQ

How does Datrise handle Looker's custom fields in MicroStrategy?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MicroStrategy types.

How does the Looker to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

Early access

Connect Looker to MicroStrategy 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.