DatriseAI-first ETL

Smaily to MicroStrategy Integration

AI-first ETL from Smaily into MicroStrategy. Governed entities, incremental sync, typed landing tables.

How Datrise loads Smaily into MicroStrategy

Datrise syncs Smaily's subscribers, campaigns, lists, autoresponders, email events, and segments into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Smaily: Email and SMS campaigns with subscriber segments.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Smaily entities map to MicroStrategy

Smaily entityMicroStrategy objectNotes
subscriberssmaily_subscribersid PK · custom fields → flattened columns
campaignssmaily_campaignsid PK · linked to smaily_subscribers
listssmaily_listsid PK · linked to smaily_subscribers
autoresponderssmaily_autorespondersid PK · linked to smaily_subscribers

FAQ

How does Datrise handle Smaily's custom fields in MicroStrategy?

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 MicroStrategy types.

How does the Smaily to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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