DatriseAI-first ETL

Impartner to Metabase Integration

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

How Datrise loads Impartner into Metabase

Datrise syncs Impartner's partners, deal registrations, opportunities, tiers, MDF requests, and partner contacts 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

Impartner: Channel management for partner tiers and co-sell.

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

How Impartner entities map to Metabase

Impartner entityMetabase objectNotes
partnersimpartner_partnersid PK · custom fields → flattened columns for the question builder
deal registrationsimpartner_deal_registrationsid PK · linked to impartner_partners
opportunitiesimpartner_opportunitiesid PK · linked to impartner_partners
tiersimpartner_tiersid PK · linked to impartner_partners

FAQ

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

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

Related pipelines

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