DatriseAI-first ETL

Outbrain to MicroStrategy Integration

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

How Datrise loads Outbrain into MicroStrategy

Datrise syncs Outbrain's campaigns, promoted links, publishers, spend, clicks, and conversions 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

Outbrain: Native content discovery advertising.

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

How Outbrain entities map to MicroStrategy

Outbrain entityMicroStrategy objectNotes
campaignsoutbrain_campaignsid PK · custom fields → flattened columns
promoted linksoutbrain_promoted_linksid PK · linked to outbrain_campaigns
publishersoutbrain_publishersid PK · linked to outbrain_campaigns
spendoutbrain_spendid PK · linked to outbrain_campaigns

FAQ

How does Datrise handle Outbrain'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 Outbrain 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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