DatriseAI-first ETL

Wise Agent PostgreSQL

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

How Datrise loads Wise Agent into PostgreSQL

Datrise syncs Wise Agent'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

Wise Agent: Real estate CRM for leads, listings, and agent follow-up.

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

How Wise Agent entities map to PostgreSQL

Wise Agent entityPostgreSQL objectNotes
contactswise_agent_contactsid PK · custom fields → jsonb columns
accountswise_agent_accountsid PK · linked to wise_agent_contacts
dealswise_agent_dealsid PK · linked to wise_agent_contacts
activitieswise_agent_activitiestimestamptz events

FAQ

How does Datrise handle Wise Agent'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 Wise Agent 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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