Heroku to Amazon DynamoDB Integration

How Datrise loads Heroku into Amazon DynamoDB

Datrise syncs Heroku's apps, dynos, releases, add-ons, config vars, and build logs 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

Heroku: Application platform with dynos and add-ons.

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

How Heroku entities map to Amazon DynamoDB

Heroku entity	Amazon DynamoDB object	Notes
apps	`heroku_apps`	id PK · custom fields → nested map/list attributes
dynos	`heroku_dynos`	id PK · linked to heroku_apps
releases	`heroku_releases`	id PK · linked to heroku_apps
add-ons	`heroku_add_ons`	id PK · linked to heroku_apps

FAQ

How does Datrise handle Heroku'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 Heroku 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

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