Creatio → Mode
AI-first ETL from Creatio into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Creatio into Mode
Datrise syncs Creatio's no-code CRM processes, entities, and cross-team workflow orchestration into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Creatio: No-code CRM and process automation platform for enterprise teams.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Creatio entities map to Mode
| Creatio entity | Mode object | Notes |
|---|---|---|
| no-code CRM processes | creatio_no_code_crm_processes | id PK · custom fields → flattened columns for SQL and notebooks |
| 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 Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Creatio to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
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