SuiteCRM → Domo
AI-first ETL from SuiteCRM into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads SuiteCRM into Domo
Datrise syncs SuiteCRM's open-source CRM entities, custom modules, and configurable workflows into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
SuiteCRM: Open-source CRM for customizable sales and customer operations.
Domo: Cloud BI platform combining data integration and executive dashboards.
How SuiteCRM entities map to Domo
| SuiteCRM entity | Domo object | Notes |
|---|---|---|
| open-source CRM entities | suitecrm_open_source_crm_entities | id PK · custom fields → flattened columns for Magic ETL |
| custom modules | suitecrm_custom_modules | id PK · linked to suitecrm_open_source_crm_entities |
| configurable workflows | suitecrm_configurable_workflows | id PK · linked to suitecrm_open_source_crm_entities |
FAQ
How does Datrise handle SuiteCRM's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the SuiteCRM to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
More destinations for SuiteCRM
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