Xero → Mode
AI-first ETL from Xero into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Xero into Mode
Datrise syncs Xero's contacts, invoices, bank transactions, accounts, and payments into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Xero: Cloud accounting for SMB ledgers and cash flow.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Xero entities map to Mode
| Xero entity | Mode object | Notes |
|---|---|---|
| contacts | xero_contacts | id PK · custom fields → flattened columns for SQL and notebooks |
| invoices | xero_invoices | id PK · linked to xero_contacts |
| bank transactions | xero_bank_transactions | id PK · linked to xero_contacts |
| accounts | xero_accounts | id PK · linked to xero_contacts |
FAQ
How does Datrise handle Xero's custom fields in Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Xero to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Xero
Early access
Connect Xero to Mode the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.