1С:CRM → PostgreSQL
AI-first ETL from 1С:CRM into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads 1С:CRM into PostgreSQL
Datrise syncs 1С:CRM's contacts, accounts, deals, activities, and lifecycle events into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
1С:CRM: CRM with strong adoption in CIS markets for sales and operations.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How 1С:CRM entities map to PostgreSQL
| 1С:CRM entity | PostgreSQL object | Notes |
|---|---|---|
| contacts | 1c_crm_contacts | id PK · custom fields → jsonb columns |
| accounts | 1c_crm_accounts | id PK · linked to 1c_crm_contacts |
| deals | 1c_crm_deals | id PK · linked to 1c_crm_contacts |
| activities | 1c_crm_activities | timestamptz events |
FAQ
How does Datrise handle 1С:CRM's custom fields in PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the 1С:CRM to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
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