DatriseAI-first ETL

Wealthbox PostgreSQL

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

How Datrise loads Wealthbox into PostgreSQL

Datrise syncs Wealthbox'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

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

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

How Wealthbox entities map to PostgreSQL

Wealthbox entityPostgreSQL objectNotes
contactswealthbox_contactsid PK · custom fields → jsonb columns
accountswealthbox_accountsid PK · linked to wealthbox_contacts
dealswealthbox_dealsid PK · linked to wealthbox_contacts
activitieswealthbox_activitiestimestamptz events

FAQ

How does Datrise handle Wealthbox'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 Wealthbox 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

Early access

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