Mailjet to Redash Integration
AI-first ETL from Mailjet into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mailjet into Redash
Datrise syncs Mailjet's messages, contacts, campaigns, delivery events, lists, and templates 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
Mailjet: Email delivery across transactional and marketing sends.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Mailjet entities map to Redash
| Mailjet entity | Redash object | Notes |
|---|---|---|
| messages | mailjet_messages | id PK · custom fields → flattened columns for query results |
| contacts | mailjet_contacts | id PK · linked to mailjet_messages |
| campaigns | mailjet_campaigns | id PK · linked to mailjet_messages |
| delivery events | mailjet_delivery_events | temporal columns events |
FAQ
How does Datrise handle Mailjet'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 Mailjet to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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