Brevo → Redash
AI-first ETL from Brevo into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Brevo into Redash
Datrise syncs Brevo's contacts, accounts, deals, activities, and lifecycle events into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Brevo: Marketing automation platform with CRM and lifecycle engagement.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Brevo entities map to Redash
| Brevo entity | Redash object | Notes |
|---|---|---|
| contacts | brevo_contacts | id PK · custom fields → flattened columns for query results |
| accounts | brevo_accounts | id PK · linked to brevo_contacts |
| deals | brevo_deals | id PK · linked to brevo_contacts |
| activities | brevo_activities | temporal columns events |
FAQ
How does Datrise handle Brevo's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Brevo to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Brevo
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