DatriseAI-first ETL

Nectar CRM to Google BigQuery Integration

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

How Datrise loads Nectar CRM into Google BigQuery

Datrise syncs Nectar CRM's contacts, companies, opportunities, sales stages, activities, and quotes 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

Nectar CRM: B2B sales CRM with playbooks for Brazilian teams.

Google BigQuery: Serverless analytics warehouse on GCP.

How Nectar CRM entities map to Google BigQuery

Nectar CRM entityGoogle BigQuery objectNotes
contactsnectar_crm_contactsid PK · custom fields → JSON or nested/repeated (STRUCT) columns
companiesnectar_crm_companiesid PK · linked to nectar_crm_contacts
opportunitiesnectar_crm_opportunitiesid PK · linked to nectar_crm_contacts
sales stagesnectar_crm_sales_stagesid PK · linked to nectar_crm_contacts

FAQ

How does Datrise handle Nectar CRM'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 Nectar CRM 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

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