DatriseAI-first ETL

LionDesk to Sisense Integration

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

How Datrise loads LionDesk into Sisense

Datrise syncs LionDesk's leads, contacts, deals, drip campaigns, tasks, and video messages 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

LionDesk: Real estate CRM with video messaging and drip campaigns.

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

How LionDesk entities map to Sisense

LionDesk entitySisense objectNotes
leadsliondesk_leadsid PK · custom fields → flattened columns for the cube
contactsliondesk_contactsid PK · linked to liondesk_leads
dealsliondesk_dealsid PK · linked to liondesk_leads
drip campaignsliondesk_drip_campaignsid PK · linked to liondesk_leads

FAQ

How does Datrise handle LionDesk'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 LionDesk to Sisense sync stay up to date?

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

Related pipelines

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