Selligent to Mode Integration
AI-first ETL from Selligent into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Selligent into Mode
Datrise syncs Selligent's contacts, journeys, campaigns, message events, lists, and real-time triggers into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Selligent: Enterprise cross-channel campaigns with real-time triggers.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Selligent entities map to Mode
| Selligent entity | Mode object | Notes |
|---|---|---|
| contacts | selligent_contacts | id PK · custom fields → flattened columns for SQL and notebooks |
| journeys | selligent_journeys | id PK · linked to selligent_contacts |
| campaigns | selligent_campaigns | id PK · linked to selligent_contacts |
| message events | selligent_message_events | temporal columns events |
FAQ
How does Datrise handle Selligent's custom fields in Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Selligent to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Selligent
Early access
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