DatriseAI-first ETL

Practifi Apache Superset

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

How Datrise loads Practifi into Apache Superset

Datrise syncs Practifi's contacts, accounts, deals, activities, and lifecycle events into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Practifi: Financial advisor CRM for clients, households, and compliance workflows.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Practifi entities map to Apache Superset

Practifi entityApache Superset objectNotes
contactspractifi_contactsid PK · custom fields → flattened columns for the explore UI
accountspractifi_accountsid PK · linked to practifi_contacts
dealspractifi_dealsid PK · linked to practifi_contacts
activitiespractifi_activitiestemporal columns for time-series charts events

FAQ

How does Datrise handle Practifi's custom fields in Apache Superset?

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

How does the Practifi to Apache Superset sync stay up to date?

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

Related pipelines

Early access

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