Amplitude → Sisense
AI-first ETL from Amplitude into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Sisense
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves 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
Amplitude: Product analytics source for events, funnels, and cohorts.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Amplitude entities map to Sisense
| Amplitude entity | Sisense object | Notes |
|---|---|---|
| product events | amplitude_product_events | date/time fields events |
| user properties | amplitude_user_properties | id PK · linked to amplitude_product_events |
| funnels | amplitude_funnels | id PK · linked to amplitude_product_events |
| cohorts | amplitude_cohorts | id PK · linked to amplitude_product_events |
FAQ
How does Datrise handle Amplitude'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 Amplitude to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
More destinations for Amplitude
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