DatriseAI-first ETL

Fauna to Metabase Integration

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

How Datrise loads Fauna into Metabase

Datrise syncs Fauna's collections, documents, indexes, functions, database schemas, and document history into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Fauna: Distributed document-relational database.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Fauna entities map to Metabase

Fauna entityMetabase objectNotes
collectionsfauna_collectionsid PK · custom fields → flattened columns for the question builder
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 Metabase?

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

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

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

Related pipelines

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