DatriseAI-first ETL

Xero MongoDB

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

How Datrise loads Xero into MongoDB

Datrise syncs Xero's contacts, invoices, bank transactions, accounts, and payments into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.

Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.

Ideal for document-oriented apps that want CRM data in their existing Mongo store.

Endpoints

Xero: Cloud accounting for SMB ledgers and cash flow.

MongoDB: Document database for flexible schemas.

How Xero entities map to MongoDB

Xero entityMongoDB objectNotes
contactsxero_contactsid PK · custom fields → native nested documents
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 MongoDB?

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

How does the Xero to MongoDB sync stay up to date?

It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.

Related pipelines

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