Intruder to Redash Integration
AI-first ETL from Intruder into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Intruder into Redash
Datrise syncs Intruder's scans, issues, targets, severities, occurrences, and remediation statuses into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Intruder: Continuous vulnerability scanning for internet assets.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Intruder entities map to Redash
| Intruder entity | Redash object | Notes |
|---|---|---|
| scans | intruder_scans | id PK · custom fields → flattened columns for query results |
| issues | intruder_issues | id PK · linked to intruder_scans |
| targets | intruder_targets | id PK · linked to intruder_scans |
| severities | intruder_severities | id PK · linked to intruder_scans |
FAQ
How does Datrise handle Intruder's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Intruder to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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