DatriseAI-first ETL

Orb to Airtable Integration

AI-first ETL from Orb into Airtable. Governed entities, incremental sync, typed landing tables.

How Datrise loads Orb into Airtable

Datrise syncs Orb's customers, subscriptions, invoices, usage events, plans, and credits into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.

Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.

Ideal for operational workflows and light CRM views in Airtable.

Endpoints

Orb: Usage-based billing and metered invoicing.

Airtable: Relational spreadsheet destination for ops and go-to-market teams.

How Orb entities map to Airtable

Orb entityAirtable objectNotes
customersorb_customersid PK · custom fields → long-text JSON or linked records for nested data
subscriptionsorb_subscriptionsid PK · linked to orb_customers
invoicesorb_invoicesid PK · linked to orb_customers
usage eventsorb_usage_eventsdate/dateTime fields events

FAQ

How does Datrise handle Orb's custom fields in Airtable?

Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.

How does the Orb to Airtable sync stay up to date?

It runs incrementally — Datrise uses upserts records matched on a stable id field.

Related pipelines

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