DatriseAI-first ETL

Holded to Google BigQuery Integration

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

How Datrise loads Holded into Google BigQuery

Datrise syncs Holded's contacts, leads, invoices, estimates, products, and projects into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.

Ideal for Google-stack analytics and ML on serverless infrastructure.

Endpoints

Holded: Spanish business suite joining CRM, invoicing, and accounting.

Google BigQuery: Serverless analytics warehouse on GCP.

How Holded entities map to Google BigQuery

Holded entityGoogle BigQuery objectNotes
contactsholded_contactsid PK · custom fields → JSON or nested/repeated (STRUCT) columns
leadsholded_leadsid PK · linked to holded_contacts
invoicesholded_invoicesid PK · linked to holded_contacts
estimatesholded_estimatesid PK · linked to holded_contacts

FAQ

How does Datrise handle Holded's custom fields in Google BigQuery?

Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.

How does the Holded to Google BigQuery sync stay up to date?

It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.

Related pipelines

Early access

Connect Holded to Google BigQuery 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.