DatriseAI-first ETL

Fauna to Holistics Integration

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

How Datrise loads Fauna into Holistics

Datrise syncs Fauna's collections, documents, indexes, functions, database schemas, and document history into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Fauna: Distributed document-relational database.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Fauna entities map to Holistics

Fauna entityHolistics objectNotes
collectionsfauna_collectionsid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

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

How does the Fauna to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

Early access

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