Mailjet to ThoughtSpot Integration
AI-first ETL from Mailjet into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mailjet into ThoughtSpot
Datrise syncs Mailjet's messages, contacts, campaigns, delivery events, lists, and templates into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Mailjet: Email delivery across transactional and marketing sends.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Mailjet entities map to ThoughtSpot
| Mailjet entity | ThoughtSpot object | Notes |
|---|---|---|
| messages | mailjet_messages | id PK · custom fields → flattened columns for searchable fields |
| contacts | mailjet_contacts | id PK · linked to mailjet_messages |
| campaigns | mailjet_campaigns | id PK · linked to mailjet_messages |
| delivery events | mailjet_delivery_events | date/time columns events |
FAQ
How does Datrise handle Mailjet's custom fields in ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Mailjet to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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Early access
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