Urban Airship to Snowflake Integration
AI-first ETL from Urban Airship into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Urban Airship into Snowflake
Datrise syncs Urban Airship's push notifications, channels, audiences, message events, segments, and named users 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
Urban Airship: Mobile push and cross-channel message orchestration.
Snowflake: Cloud data warehouse with separated compute and storage.
How Urban Airship entities map to Snowflake
| Urban Airship entity | Snowflake object | Notes |
|---|---|---|
| push notifications | urban_airship_push_notifications | id PK · custom fields → VARIANT columns |
| channels | urban_airship_channels | id PK · linked to urban_airship_push_notifications |
| audiences | urban_airship_audiences | id PK · linked to urban_airship_push_notifications |
| message events | urban_airship_message_events | TIMESTAMP_TZ events |
FAQ
How does Datrise handle Urban Airship'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 Urban Airship 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 Urban Airship
- Urban Airship → Google BigQuery
- Urban Airship → Amazon Redshift
- Urban Airship → Databricks SQL Warehouse
- Urban Airship → ClickHouse
- Urban Airship → DuckDB
- Urban Airship → Amazon Athena
- Urban Airship → Amazon S3 Data Lake
- Urban Airship → Azure Data Lake Storage
- Urban Airship → Azure Synapse
- Urban Airship → Spreadsheets
- Urban Airship → Airtable
- Urban Airship → CSV Files
Early access
Connect Urban Airship to Snowflake 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.