Sellsy to ClickHouse Integration
AI-first ETL from Sellsy into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Sellsy into ClickHouse
Datrise syncs Sellsy's prospects, opportunities, estimates, invoices, tickets, and timeline events 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
Sellsy: French CRM with quoting, invoicing, and support tickets.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Sellsy entities map to ClickHouse
| Sellsy entity | ClickHouse object | Notes |
|---|---|---|
| prospects | sellsy_prospects | id PK · custom fields → JSON or Map columns |
| opportunities | sellsy_opportunities | id PK · linked to sellsy_prospects |
| estimates | sellsy_estimates | id PK · linked to sellsy_prospects |
| invoices | sellsy_invoices | id PK · linked to sellsy_prospects |
FAQ
How does Datrise handle Sellsy'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 Sellsy 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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