Selligent to Sisense Integration

How Datrise loads Selligent into Sisense

Datrise syncs Selligent's contacts, journeys, campaigns, message events, lists, and real-time triggers 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

Selligent: Enterprise cross-channel campaigns with real-time triggers.

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

How Selligent entities map to Sisense

Selligent entity	Sisense object	Notes
contacts	`selligent_contacts`	id PK · custom fields → flattened columns for the cube
journeys	`selligent_journeys`	id PK · linked to selligent_contacts
campaigns	`selligent_campaigns`	id PK · linked to selligent_contacts
message events	`selligent_message_events`	date/time fields events

FAQ

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

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

Related pipelines

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