Selligent to PostgreSQL Integration
AI-first ETL from Selligent into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Selligent into PostgreSQL
Datrise syncs Selligent's contacts, journeys, campaigns, message events, lists, and real-time triggers into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Selligent: Enterprise cross-channel campaigns with real-time triggers.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Selligent entities map to PostgreSQL
| Selligent entity | PostgreSQL object | Notes |
|---|---|---|
| contacts | selligent_contacts | id PK · custom fields → jsonb columns |
| journeys | selligent_journeys | id PK · linked to selligent_contacts |
| campaigns | selligent_campaigns | id PK · linked to selligent_contacts |
| message events | selligent_message_events | timestamptz events |
FAQ
How does Datrise handle Selligent's custom fields in PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the Selligent to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Selligent
- Selligent → MySQL
- Selligent → Microsoft SQL Server
- Selligent → Oracle Database
- Selligent → Snowflake
- Selligent → Google BigQuery
- Selligent → Amazon Redshift
- Selligent → Databricks SQL Warehouse
- Selligent → ClickHouse
- Selligent → DuckDB
- Selligent → Amazon Athena
- Selligent → Amazon S3 Data Lake
- Selligent → Azure Data Lake Storage
Early access
Connect Selligent to PostgreSQL the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.