Creatio → Google BigQuery
AI-first ETL from Creatio into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Creatio into Google BigQuery
Datrise syncs Creatio's no-code CRM processes, entities, and cross-team workflow orchestration 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
Creatio: No-code CRM and process automation platform for enterprise teams.
Google BigQuery: Serverless analytics warehouse on GCP.
How Creatio entities map to Google BigQuery
| Creatio entity | Google BigQuery object | Notes |
|---|---|---|
| no-code CRM processes | creatio_no_code_crm_processes | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| entities | creatio_entities | id PK · linked to creatio_no_code_crm_processes |
| cross-team workflow orchestration | creatio_cross_team_workflow_orchestration | id PK · linked to creatio_no_code_crm_processes |
FAQ
How does Datrise handle Creatio'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 Creatio 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.
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Early access
Connect Creatio to Google BigQuery the easy way
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