Amplitude → Databricks SQL Warehouse
AI-first ETL from Amplitude into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Databricks SQL Warehouse
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.
Ideal for lakehouse analytics and ML feature tables on Databricks.
Endpoints
Amplitude: Product analytics source for events, funnels, and cohorts.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Amplitude entities map to Databricks SQL Warehouse
| Amplitude entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| product events | amplitude_product_events | TIMESTAMP 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 Databricks SQL Warehouse?
Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.
How does the Amplitude to Databricks SQL Warehouse sync stay up to date?
It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.
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Early access
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