DatriseAI-first ETL

Smartengage to Birst Integration

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

How Datrise loads Smartengage into Birst

Datrise syncs Smartengage's subscribers, sequences, broadcasts, tags, message events, and custom fields 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

Smartengage: Messenger and email marketing automation.

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

How Smartengage entities map to Birst

Smartengage entityBirst objectNotes
subscriberssmartengage_subscribersid PK · custom fields → flattened columns
sequencessmartengage_sequencesid PK · linked to smartengage_subscribers
broadcastssmartengage_broadcastsid PK · linked to smartengage_subscribers
tagssmartengage_tagsid PK · linked to smartengage_subscribers

FAQ

How does Datrise handle Smartengage'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 Smartengage to Birst sync stay up to date?

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

Related pipelines

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