1С:CRM to ClickHouse Integration
AI-first ETL from 1С:CRM into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads 1С:CRM into ClickHouse
Datrise syncs 1С:CRM's counterparties, deals, interactions, orders, tasks, and business processes into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
1С:CRM: CRM built on the 1C platform for sales and back-office.
ClickHouse: Columnar OLAP engine for fast aggregations.
How 1С:CRM entities map to ClickHouse
| 1С:CRM entity | ClickHouse object | Notes |
|---|---|---|
| counterparties | 1c_crm_counterparties | id PK · custom fields → JSON or Map columns |
| deals | 1c_crm_deals | id PK · linked to 1c_crm_counterparties |
| interactions | 1c_crm_interactions | id PK · linked to 1c_crm_counterparties |
| orders | 1c_crm_orders | id PK · linked to 1c_crm_counterparties |
FAQ
How does Datrise handle 1С:CRM's custom fields in ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the 1С:CRM to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
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