DatriseAI-first ETL

Branch to Birst Integration

AI-first ETL from Branch into Birst. Governed entities, incremental sync, typed landing tables.

How Datrise loads Branch into Birst

Datrise syncs Branch's links, clicks, installs, events, attribution touchpoints, and campaigns into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Branch: Deep linking and mobile attribution.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Branch entities map to Birst

Branch entityBirst objectNotes
linksbranch_linksid PK · custom fields → flattened columns
clicksbranch_clicksid PK · linked to branch_links
installsbranch_installsid PK · linked to branch_links
eventsbranch_eventsdate/time dimensions events

FAQ

How does Datrise handle Branch's custom fields in Birst?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.

How does the Branch to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

Early access

Connect Branch to Birst the easy way

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