DatriseAI-first ETL

Xero PostgreSQL

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

How Datrise loads Xero into PostgreSQL

Datrise syncs Xero's contacts, invoices, bank transactions, accounts, and payments 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

Xero: Cloud accounting for SMB ledgers and cash flow.

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

How Xero entities map to PostgreSQL

Xero entityPostgreSQL objectNotes
contactsxero_contactsid PK · custom fields → jsonb columns
invoicesxero_invoicesid PK · linked to xero_contacts
bank transactionsxero_bank_transactionsid PK · linked to xero_contacts
accountsxero_accountsid PK · linked to xero_contacts

FAQ

How does Datrise handle Xero'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 Xero 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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