DatriseAI-first ETL

Contentful to Amazon DynamoDB Integration

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

How Datrise loads Contentful into Amazon DynamoDB

Datrise syncs Contentful's entries, content types, assets, spaces, locales, and publish events 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

Contentful: Headless CMS for structured content delivery.

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

How Contentful entities map to Amazon DynamoDB

Contentful entityAmazon DynamoDB objectNotes
entriescontentful_entriesid PK · custom fields → nested map/list attributes
content typescontentful_content_typesid PK · linked to contentful_entries
assetscontentful_assetsid PK · linked to contentful_entries
spacescontentful_spacesid PK · linked to contentful_entries

FAQ

How does Datrise handle Contentful'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 Contentful 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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