DatriseAI-first ETL

Amplitude PostgreSQL

AI-first ETL from Amplitude into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Amplitude into PostgreSQL

Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Amplitude: Product analytics source for events, funnels, and cohorts.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Amplitude entities map to PostgreSQL

Amplitude entityPostgreSQL objectNotes
product eventsamplitude_product_eventstimestamptz events
user propertiesamplitude_user_propertiesid PK · linked to amplitude_product_events
funnelsamplitude_funnelsid PK · linked to amplitude_product_events
cohortsamplitude_cohortsid PK · linked to amplitude_product_events

FAQ

How does Datrise handle Amplitude's custom fields in PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Amplitude to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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