DatriseAI-first ETL

Practifi to Metabase Integration

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

How Datrise loads Practifi into Metabase

Datrise syncs Practifi's clients, households, entities, service requests, opportunities, and review meetings 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

Practifi: Salesforce-based platform for advisory firm operations.

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

How Practifi entities map to Metabase

Practifi entityMetabase objectNotes
clientspractifi_clientsid PK · custom fields → flattened columns for the question builder
householdspractifi_householdsid PK · linked to practifi_clients
entitiespractifi_entitiesid PK · linked to practifi_clients
service requestspractifi_service_requestsid PK · linked to practifi_clients

FAQ

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

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

Related pipelines

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