Selligent to Snowflake Integration
AI-first ETL from Selligent into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Selligent into Snowflake
Datrise syncs Selligent's contacts, journeys, campaigns, message events, lists, and real-time triggers into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.
Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.
Ideal for central analytics warehouses feeding BI and AI workloads.
Endpoints
Selligent: Enterprise cross-channel campaigns with real-time triggers.
Snowflake: Cloud data warehouse with separated compute and storage.
How Selligent entities map to Snowflake
| Selligent entity | Snowflake object | Notes |
|---|---|---|
| contacts | selligent_contacts | id PK · custom fields → VARIANT columns |
| journeys | selligent_journeys | id PK · linked to selligent_contacts |
| campaigns | selligent_campaigns | id PK · linked to selligent_contacts |
| message events | selligent_message_events | TIMESTAMP_TZ events |
FAQ
How does Datrise handle Selligent's custom fields in Snowflake?
Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.
How does the Selligent to Snowflake sync stay up to date?
It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.
Related pipelines
More destinations for Selligent
- 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
- Selligent → Azure Synapse
- Selligent → Spreadsheets
- Selligent → Airtable
- Selligent → CSV Files
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