EspoCRM → Sisense
AI-first ETL from EspoCRM into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads EspoCRM into Sisense
Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation 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
EspoCRM: Open-source CRM for pipeline management and custom entity modeling.
Sisense: Analytics platform with elastic data models and embedded analytics.
How EspoCRM entities map to Sisense
| EspoCRM entity | Sisense object | Notes |
|---|---|---|
| pipeline entities | espocrm_pipeline_entities | id PK · custom fields → flattened columns for the cube |
| custom objects | espocrm_custom_objects | id PK · linked to espocrm_pipeline_entities |
| process automation events | espocrm_process_automation_events | date/time fields events |
FAQ
How does Datrise handle EspoCRM'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 EspoCRM to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
More destinations for EspoCRM
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