DatriseAI-first ETL

Megaplan to Apache Superset Integration

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

How Datrise loads Megaplan into Apache Superset

Datrise syncs Megaplan's deals, contractors, contacts, tasks, projects, and invoices 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

Megaplan: CRM and task management for CIS sales and service teams.

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

How Megaplan entities map to Apache Superset

Megaplan entityApache Superset objectNotes
dealsmegaplan_dealsid PK · custom fields → flattened columns for the explore UI
contractorsmegaplan_contractorsid PK · linked to megaplan_deals
contactsmegaplan_contactsid PK · linked to megaplan_deals
tasksmegaplan_tasksid PK · linked to megaplan_deals

FAQ

How does Datrise handle Megaplan'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 Megaplan 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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