Brevo → Databricks SQL Warehouse
AI-first ETL from Brevo into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Brevo into Databricks SQL Warehouse
Datrise syncs Brevo's contacts, accounts, deals, activities, and lifecycle events 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
Brevo: Marketing automation platform with CRM and lifecycle engagement.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Brevo entities map to Databricks SQL Warehouse
| Brevo entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| contacts | brevo_contacts | id PK · custom fields → VARIANT or STRUCT columns |
| accounts | brevo_accounts | id PK · linked to brevo_contacts |
| deals | brevo_deals | id PK · linked to brevo_contacts |
| activities | brevo_activities | TIMESTAMP events |
FAQ
How does Datrise handle Brevo'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 Brevo 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.
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Early access
Connect Brevo to Databricks SQL Warehouse 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.