DatriseAI-first ETL

Creatio PostgreSQL

AI-first ETL from Creatio into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Creatio into PostgreSQL

Datrise syncs Creatio's no-code CRM processes, entities, and cross-team workflow orchestration into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Creatio: No-code CRM and process automation platform for enterprise teams.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Creatio entities map to PostgreSQL

Creatio entityPostgreSQL objectNotes
no-code CRM processescreatio_no_code_crm_processesid PK · custom fields → jsonb columns
entitiescreatio_entitiesid PK · linked to creatio_no_code_crm_processes
cross-team workflow orchestrationcreatio_cross_team_workflow_orchestrationid PK · linked to creatio_no_code_crm_processes

FAQ

How does Datrise handle Creatio's custom fields in PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Creatio to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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