Autopilot to Redash Integration
AI-first ETL from Autopilot into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Autopilot into Redash
Datrise syncs Autopilot's contacts, journeys, lists, email events, triggers, and custom fields 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
Autopilot: Visual marketing automation and customer journeys.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Autopilot entities map to Redash
| Autopilot entity | Redash object | Notes |
|---|---|---|
| contacts | autopilot_contacts | id PK · custom fields → flattened columns for query results |
| journeys | autopilot_journeys | id PK · linked to autopilot_contacts |
| lists | autopilot_lists | id PK · linked to autopilot_contacts |
| email events | autopilot_email_events | temporal columns events |
FAQ
How does Datrise handle Autopilot'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 Autopilot to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Autopilot
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