DatriseAI-first ETL

Intruder to Neon Integration

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

How Datrise loads Intruder into Neon

Datrise syncs Intruder's scans, issues, targets, severities, occurrences, and remediation statuses into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Intruder: Continuous vulnerability scanning for internet assets.

Neon: Serverless Postgres destination with branching and autoscaling.

How Intruder entities map to Neon

Intruder entityNeon 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 Neon?

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 Neon types.

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

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

Related pipelines

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