DatriseAI-first ETL

Megaplan Holistics

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

How Datrise loads Megaplan into Holistics

Datrise syncs Megaplan's contacts, accounts, deals, activities, and lifecycle events into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Megaplan: CRM with strong adoption in CIS markets for sales and operations.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Megaplan entities map to Holistics

Megaplan entityHolistics objectNotes
contactsmegaplan_contactsid PK · custom fields → flattened columns for the modeling layer
accountsmegaplan_accountsid PK · linked to megaplan_contacts
dealsmegaplan_dealsid PK · linked to megaplan_contacts
activitiesmegaplan_activitiesdate/time dimensions events

FAQ

How does Datrise handle Megaplan's custom fields in Holistics?

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

How does the Megaplan to Holistics sync stay up to date?

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

Related pipelines

Early access

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