Creatio → Azure Data Lake Storage
AI-first ETL from Creatio into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Creatio into Azure Data Lake Storage
Datrise syncs Creatio's no-code CRM processes, entities, and cross-team workflow orchestration into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.
Ideal for Azure lakehouse storage shared across Synapse and Databricks.
Endpoints
Creatio: No-code CRM and process automation platform for enterprise teams.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Creatio entities map to Azure Data Lake Storage
| Creatio entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| no-code CRM processes | creatio_no_code_crm_processes | id PK · custom fields → nested struct/map fields in Parquet |
| 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 Azure Data Lake Storage?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Data Lake Storage types.
How does the Creatio to Azure Data Lake Storage sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.
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Early access
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