DatriseAI-first ETL

Intruder to PostgreSQL Integration

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

How Datrise loads Intruder into PostgreSQL

Datrise syncs Intruder's scans, issues, targets, severities, occurrences, and remediation statuses into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Intruder: Continuous vulnerability scanning for internet assets.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Intruder entities map to PostgreSQL

Intruder entityPostgreSQL objectNotes
scansintruder_scansid PK · custom fields → jsonb 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 PostgreSQL?

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

How does the Intruder to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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