Brevo to Snowflake Integration
AI-first ETL from Brevo into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Brevo into Snowflake
Datrise syncs Brevo's contacts, lists, campaigns, transactional emails, deals, and email events 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
Brevo: Email, SMS, and CRM for small business lifecycle marketing.
Snowflake: Cloud data warehouse with separated compute and storage.
How Brevo entities map to Snowflake
| Brevo entity | Snowflake object | Notes |
|---|---|---|
| contacts | brevo_contacts | id PK · custom fields → VARIANT columns |
| lists | brevo_lists | id PK · linked to brevo_contacts |
| campaigns | brevo_campaigns | id PK · linked to brevo_contacts |
| transactional emails | brevo_transactional_emails | id PK · linked to brevo_contacts |
FAQ
How does Datrise handle Brevo'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 Brevo 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.
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