DatriseAI-first ETL

RD Station CRM to Google BigQuery Integration

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

How Datrise loads RD Station CRM into Google BigQuery

Datrise syncs RD Station CRM's deals, contacts, organizations, funnel stages, activities, and loss reasons 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

RD Station CRM: Sales CRM paired with RD Station inbound marketing.

Google BigQuery: Serverless analytics warehouse on GCP.

How RD Station CRM entities map to Google BigQuery

RD Station CRM entityGoogle BigQuery objectNotes
dealsrd_station_crm_dealsid PK · custom fields → JSON or nested/repeated (STRUCT) columns
contactsrd_station_crm_contactsid PK · linked to rd_station_crm_deals
organizationsrd_station_crm_organizationsid PK · linked to rd_station_crm_deals
funnel stagesrd_station_crm_funnel_stagesid PK · linked to rd_station_crm_deals

FAQ

How does Datrise handle RD Station 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 RD Station 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

Early access

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