DatriseAI-first ETL

Merge to Apache Superset Integration

AI-first ETL from Merge into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads Merge into Apache Superset

Datrise syncs Merge's linked accounts, employees, candidates, contacts, invoices, and sync statuses into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Merge: Unified API across HR, CRM, and accounting tools.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Merge entities map to Apache Superset

Merge entityApache Superset objectNotes
linked accountsmerge_linked_accountsid PK · custom fields → flattened columns for the explore UI
employeesmerge_employeesid PK · linked to merge_linked_accounts
candidatesmerge_candidatesid PK · linked to merge_linked_accounts
contactsmerge_contactsid PK · linked to merge_linked_accounts

FAQ

How does Datrise handle Merge's custom fields in Apache Superset?

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

How does the Merge to Apache Superset sync stay up to date?

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

Related pipelines

Early access

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