DatriseAI-first ETL

Intruder to MicroStrategy Integration

AI-first ETL from Intruder into MicroStrategy. Governed entities, incremental sync, typed landing tables.

How Datrise loads Intruder into MicroStrategy

Datrise syncs Intruder's scans, issues, targets, severities, occurrences, and remediation statuses 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

Intruder: Continuous vulnerability scanning for internet assets.

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

How Intruder entities map to MicroStrategy

Intruder entityMicroStrategy objectNotes
scansintruder_scansid PK · custom fields → flattened columns
issuesintruder_issuesid PK · linked to intruder_scans
targetsintruder_targetsid PK · linked to intruder_scans
severitiesintruder_severitiesid PK · linked to intruder_scans

FAQ

How does Datrise handle Intruder'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 Intruder to MicroStrategy sync stay up to date?

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

Related pipelines

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