DatriseAI-first ETL

Amplitude Amazon DynamoDB

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

How Datrise loads Amplitude into Amazon DynamoDB

Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.

Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.

Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.

Endpoints

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

Amazon DynamoDB: Serverless key-value and document store on AWS.

How Amplitude entities map to Amazon DynamoDB

Amplitude entityAmazon DynamoDB objectNotes
product eventsamplitude_product_eventsISO-8601 string or epoch number attributes 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 DynamoDB?

Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.

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

It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.

Related pipelines

Early access

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