Sailthru to Redash Integration
AI-first ETL from Sailthru into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Sailthru into Redash
Datrise syncs Sailthru's users, campaigns, blasts, message events, lists, and content items 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
Sailthru: Personalized email and onsite content targeting.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Sailthru entities map to Redash
| Sailthru entity | Redash object | Notes |
|---|---|---|
| users | sailthru_users | id PK · custom fields → flattened columns for query results |
| campaigns | sailthru_campaigns | id PK · linked to sailthru_users |
| blasts | sailthru_blasts | id PK · linked to sailthru_users |
| message events | sailthru_message_events | temporal columns events |
FAQ
How does Datrise handle Sailthru'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 Sailthru to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Sailthru
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