DatriseAI-first ETL

Holded Airtable

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

How Datrise loads Holded into Airtable

Datrise syncs Holded's contacts, accounts, deals, activities, and lifecycle events 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

Holded: European CRM for SMB and mid-market sales teams.

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

How Holded entities map to Airtable

Holded entityAirtable objectNotes
contactsholded_contactsid PK · custom fields → long-text JSON or linked records for nested data
accountsholded_accountsid PK · linked to holded_contacts
dealsholded_dealsid PK · linked to holded_contacts
activitiesholded_activitiesdate/dateTime fields events

FAQ

How does Datrise handle Holded'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 Holded 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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