Creatio → DuckDB
AI-first ETL from Creatio into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Creatio into DuckDB
Datrise syncs Creatio's no-code CRM processes, entities, and cross-team workflow orchestration into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
Creatio: No-code CRM and process automation platform for enterprise teams.
DuckDB: In-process analytics database for fast local OLAP.
How Creatio entities map to DuckDB
| Creatio entity | DuckDB object | Notes |
|---|---|---|
| no-code CRM processes | creatio_no_code_crm_processes | id PK · custom fields → JSON or 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 DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the Creatio to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
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