DatriseAI-first ETL

QuickBooks ClickHouse

AI-first ETL from QuickBooks into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads QuickBooks into ClickHouse

Datrise syncs QuickBooks's customers, invoices, bills, payments, and chart-of-accounts entries 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

QuickBooks: SMB accounting for invoices, expenses, and ledger activity.

ClickHouse: Columnar OLAP engine for fast aggregations.

How QuickBooks entities map to ClickHouse

QuickBooks entityClickHouse objectNotes
customersquickbooks_customersid PK · custom fields → JSON or Map columns
invoicesquickbooks_invoicesid PK · linked to quickbooks_customers
billsquickbooks_billsid PK · linked to quickbooks_customers
paymentsquickbooks_paymentsid PK · linked to quickbooks_customers

FAQ

How does Datrise handle QuickBooks'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 QuickBooks 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.

Related pipelines

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