DatriseAI-first ETL

1С:CRM to GoodData Integration

AI-first ETL from 1С:CRM into GoodData. Governed entities, incremental sync, typed landing tables.

How Datrise loads 1С:CRM into GoodData

Datrise syncs 1С:CRM's counterparties, deals, interactions, orders, tasks, and business processes 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

1С:CRM: CRM built on the 1C platform for sales and back-office.

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

How 1С:CRM entities map to GoodData

1С:CRM entityGoodData objectNotes
counterparties1c_crm_counterpartiesid PK · custom fields → flattened columns
deals1c_crm_dealsid PK · linked to 1c_crm_counterparties
interactions1c_crm_interactionsid PK · linked to 1c_crm_counterparties
orders1c_crm_ordersid PK · linked to 1c_crm_counterparties

FAQ

How does Datrise handle 1С:CRM'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 1С:CRM to GoodData sync stay up to date?

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

Related pipelines

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