DatriseAI-first ETL

Braze to Airtable Integration

AI-first ETL from Braze into Airtable. Governed entities, incremental sync, typed landing tables.

How Datrise loads Braze into Airtable

Datrise syncs Braze's users, campaigns, canvases, message events, segments, and custom attributes into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.

Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.

Ideal for operational workflows and light CRM views in Airtable.

Endpoints

Braze: Cross-channel customer engagement platform.

Airtable: Relational spreadsheet destination for ops and go-to-market teams.

How Braze entities map to Airtable

Braze entityAirtable objectNotes
usersbraze_usersid PK · custom fields → long-text JSON or linked records for nested data
campaignsbraze_campaignsid PK · linked to braze_users
canvasesbraze_canvasesid PK · linked to braze_users
message eventsbraze_message_eventsdate/dateTime fields events

FAQ

How does Datrise handle Braze's custom fields in Airtable?

Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.

How does the Braze to Airtable sync stay up to date?

It runs incrementally — Datrise uses upserts records matched on a stable id field.

Related pipelines

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