DatriseAI-first ETL

Neon CRM Sisense

AI-first ETL from Neon CRM into Sisense. Governed entities, incremental sync, typed landing tables.

How Datrise loads Neon CRM into Sisense

Datrise syncs Neon CRM's contacts, accounts, deals, activities, and lifecycle events into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.

Ideal for embedded analytics on an in-memory engine.

Endpoints

Neon CRM: Nonprofit CRM for donors, campaigns, and stewardship.

Sisense: Analytics platform with elastic data models and embedded analytics.

How Neon CRM entities map to Sisense

Neon CRM entitySisense objectNotes
contactsneoncrm_contactsid PK · custom fields → flattened columns for the cube
accountsneoncrm_accountsid PK · linked to neoncrm_contacts
dealsneoncrm_dealsid PK · linked to neoncrm_contacts
activitiesneoncrm_activitiesdate/time fields events

FAQ

How does Datrise handle Neon CRM's custom fields in Sisense?

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

How does the Neon CRM to Sisense sync stay up to date?

It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.

Related pipelines

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