Amplitude → DuckDB
AI-first ETL from Amplitude into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into DuckDB
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
Amplitude: Product analytics source for events, funnels, and cohorts.
DuckDB: In-process analytics database for fast local OLAP.
How Amplitude entities map to DuckDB
| Amplitude entity | DuckDB object | Notes |
|---|---|---|
| product events | amplitude_product_events | TIMESTAMP WITH TIME ZONE 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 DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the Amplitude to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
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Early access
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