DatriseAI-first ETL

Fauna to MicroStrategy Integration

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

How Datrise loads Fauna into MicroStrategy

Datrise syncs Fauna's collections, documents, indexes, functions, database schemas, and document history 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

Fauna: Distributed document-relational database.

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

How Fauna entities map to MicroStrategy

Fauna entityMicroStrategy objectNotes
collectionsfauna_collectionsid PK · custom fields → flattened columns
documentsfauna_documentsid PK · linked to fauna_collections
indexesfauna_indexesid PK · linked to fauna_collections
functionsfauna_functionsid PK · linked to fauna_collections

FAQ

How does Datrise handle Fauna'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 Fauna 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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