DatriseAI-first ETL

VinSolutions Google BigQuery

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

How Datrise loads VinSolutions into Google BigQuery

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

VinSolutions: Automotive dealer CRM for leads, inventory, and showroom workflows.

Google BigQuery: Serverless analytics warehouse on GCP.

How VinSolutions entities map to Google BigQuery

VinSolutions entityGoogle BigQuery objectNotes
contactsvinsolutions_contactsid PK · custom fields → JSON or nested/repeated (STRUCT) columns
accountsvinsolutions_accountsid PK · linked to vinsolutions_contacts
dealsvinsolutions_dealsid PK · linked to vinsolutions_contacts
activitiesvinsolutions_activitiesTIMESTAMP events

FAQ

How does Datrise handle VinSolutions'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 VinSolutions 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

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