Adjust to Amazon DynamoDB Integration
AI-first ETL from Adjust into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Adjust into Amazon DynamoDB
Datrise syncs Adjust's installs, sessions, in-app events, campaigns, cohorts, and attribution touchpoints 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
Adjust: Mobile measurement and attribution platform.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How Adjust entities map to Amazon DynamoDB
| Adjust entity | Amazon DynamoDB object | Notes |
|---|---|---|
| installs | adjust_installs | id PK · custom fields → nested map/list attributes |
| sessions | adjust_sessions | id PK · linked to adjust_installs |
| in-app events | adjust_in_app_events | ISO-8601 string or epoch number attributes events |
| campaigns | adjust_campaigns | id PK · linked to adjust_installs |
FAQ
How does Datrise handle Adjust'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 Adjust 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.
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Early access
Connect Adjust to Amazon DynamoDB the easy way
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