DatriseAI-first ETL

SuiteCRM GoodData

AI-first ETL from SuiteCRM into GoodData. Governed entities, incremental sync, typed landing tables.

How Datrise loads SuiteCRM into GoodData

Datrise syncs SuiteCRM's open-source CRM entities, custom modules, and configurable workflows into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

SuiteCRM: Open-source CRM for customizable sales and customer operations.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How SuiteCRM entities map to GoodData

SuiteCRM entityGoodData objectNotes
open-source CRM entitiessuitecrm_open_source_crm_entitiesid PK · custom fields → flattened columns
custom modulessuitecrm_custom_modulesid PK · linked to suitecrm_open_source_crm_entities
configurable workflowssuitecrm_configurable_workflowsid PK · linked to suitecrm_open_source_crm_entities

FAQ

How does Datrise handle SuiteCRM's custom fields in GoodData?

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

How does the SuiteCRM to GoodData sync stay up to date?

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

Related pipelines

Early access

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