DatriseAI-first ETL

Practifi PostgreSQL

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

How Datrise loads Practifi into PostgreSQL

Datrise syncs Practifi's contacts, accounts, deals, activities, and lifecycle events into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Practifi entities map to PostgreSQL

Practifi entityPostgreSQL objectNotes
contactspractifi_contactsid PK · custom fields → jsonb columns
accountspractifi_accountsid PK · linked to practifi_contacts
dealspractifi_dealsid PK · linked to practifi_contacts
activitiespractifi_activitiestimestamptz events

FAQ

How does Datrise handle Practifi's custom fields in PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Practifi to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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