DatriseAI-first ETL

Intruder to MySQL Integration

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

How Datrise loads Intruder into MySQL

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Intruder: Continuous vulnerability scanning for internet assets.

MySQL: Widely used OSS relational engine (InnoDB).

How Intruder entities map to MySQL

Intruder entityMySQL objectNotes
scansintruder_scansid PK · custom fields → JSON 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 MySQL?

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

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

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

Related pipelines

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