DatriseAI-first ETL

Creatio Redash

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

How Datrise loads Creatio into Redash

Datrise syncs Creatio's no-code CRM processes, entities, and cross-team workflow orchestration into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

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

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Creatio entities map to Redash

Creatio entityRedash objectNotes
no-code CRM processescreatio_no_code_crm_processesid PK · custom fields → flattened columns for query results
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 Redash?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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