DatriseAI-first ETL

Omnisend to Databricks SQL Warehouse Integration

AI-first ETL from Omnisend into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Omnisend into Databricks SQL Warehouse

Datrise syncs Omnisend's contacts, campaigns, automations, orders, message events, and segments into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

Omnisend: Ecommerce email and SMS marketing automation.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Omnisend entities map to Databricks SQL Warehouse

Omnisend entityDatabricks SQL Warehouse objectNotes
contactsomnisend_contactsid PK · custom fields → VARIANT or STRUCT columns
campaignsomnisend_campaignsid PK · linked to omnisend_contacts
automationsomnisend_automationsid PK · linked to omnisend_contacts
ordersomnisend_ordersid PK · linked to omnisend_contacts

FAQ

How does Datrise handle Omnisend's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the Omnisend to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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