DatriseAI-first ETL

Amplitude Amazon Redshift

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

How Datrise loads Amplitude into Amazon Redshift

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

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

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

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Amplitude entities map to Amazon Redshift

Amplitude entityAmazon Redshift 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 Amazon Redshift?

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

How does the Amplitude to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

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