DatriseAI-first ETL

Import API Metabase

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

How Datrise loads Import API into Metabase

Datrise syncs Import API'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

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

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

How Import API entities map to Metabase

Import API entityMetabase objectNotes
recordsimport_api_recordsid PK · custom fields → flattened columns for the question builder
eventsimport_api_eventstemporal columns for trends events
configuration objectsimport_api_configuration_objectsid PK · linked to import_api_records

FAQ

How does Datrise handle Import API'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 Import API 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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