DatriseAI-first ETL

1С:CRM Metabase

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

How Datrise loads 1С:CRM into Metabase

Datrise syncs 1С:CRM's contacts, accounts, deals, activities, and lifecycle events into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

1С:CRM: CRM with strong adoption in CIS markets for sales and operations.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How 1С:CRM entities map to Metabase

1С:CRM entityMetabase objectNotes
contacts1c_crm_contactsid PK · custom fields → flattened columns for the question builder
accounts1c_crm_accountsid PK · linked to 1c_crm_contacts
deals1c_crm_dealsid PK · linked to 1c_crm_contacts
activities1c_crm_activitiestemporal columns for trends events

FAQ

How does Datrise handle 1С:CRM's custom fields in Metabase?

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

How does the 1С:CRM to Metabase sync stay up to date?

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

Related pipelines

Early access

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