Marketo Bulk to Sisense Integration
AI-first ETL from Marketo Bulk into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Marketo Bulk into Sisense
Datrise syncs Marketo Bulk's leads, activities, program memberships, email events, lists, and custom objects 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
Marketo Bulk: Bulk export of Marketo lead and activity history.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Marketo Bulk entities map to Sisense
| Marketo Bulk entity | Sisense object | Notes |
|---|---|---|
| leads | marketo_bulk_leads | id PK · custom fields → flattened columns for the cube |
| activities | marketo_bulk_activities | date/time fields events |
| program memberships | marketo_bulk_program_memberships | id PK · linked to marketo_bulk_leads |
| email events | marketo_bulk_email_events | date/time fields events |
FAQ
How does Datrise handle Marketo Bulk'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 Marketo Bulk to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
More destinations for Marketo Bulk
More sources for Sisense
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