DatriseAI-first ETL

GNews to Amazon DynamoDB Integration

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

How Datrise loads GNews into Amazon DynamoDB

Datrise syncs GNews's articles, sources, headlines, publication dates, topics, 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

GNews: News article search across publishers.

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

How GNews entities map to Amazon DynamoDB

GNews entityAmazon DynamoDB objectNotes
articlesgnews_articlesid PK · custom fields → nested map/list attributes
sourcesgnews_sourcesid PK · linked to gnews_articles
headlinesgnews_headlinesid PK · linked to gnews_articles
publication datesgnews_publication_datesid PK · linked to gnews_articles

FAQ

How does Datrise handle GNews'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 GNews 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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