DatriseAI-first ETL

News API to Amazon DynamoDB Integration

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

How Datrise loads News API into Amazon DynamoDB

Datrise syncs News API's articles, sources, headlines, publication dates, categories, and search queries 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

News API: Aggregated news headlines across publishers.

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

How News API entities map to Amazon DynamoDB

News API entityAmazon DynamoDB objectNotes
articlesnews_api_articlesid PK · custom fields → nested map/list attributes
sourcesnews_api_sourcesid PK · linked to news_api_articles
headlinesnews_api_headlinesid PK · linked to news_api_articles
publication datesnews_api_publication_datesid PK · linked to news_api_articles

FAQ

How does Datrise handle News API'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 News API 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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