DatriseAI-first ETL

Recreation Metabase

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

How Datrise loads Recreation into Metabase

Datrise syncs Recreation's records, events, and configuration objects 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

Recreation: SaaS or API data source for analytics and warehouse sync.

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

How Recreation entities map to Metabase

Recreation entityMetabase objectNotes
recordsrecreation_recordsid PK · custom fields → flattened columns for the question builder
eventsrecreation_eventstemporal columns for trends events
configuration objectsrecreation_configuration_objectsid PK · linked to recreation_records

FAQ

How does Datrise handle Recreation'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 Recreation to Metabase sync stay up to date?

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

Related pipelines

Early access

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