DatriseAI-first ETL

Webflow to Amazon DynamoDB Integration

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

How Datrise loads Webflow into Amazon DynamoDB

Datrise syncs Webflow's collections, collection items, sites, fields, form submissions, 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

Webflow: Visual website builder with a structured CMS.

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

How Webflow entities map to Amazon DynamoDB

Webflow entityAmazon DynamoDB objectNotes
collectionswebflow_collectionsid PK · custom fields → nested map/list attributes
collection itemswebflow_collection_itemsid PK · linked to webflow_collections
siteswebflow_sitesid PK · linked to webflow_collections
fieldswebflow_fieldsid PK · linked to webflow_collections

FAQ

How does Datrise handle Webflow'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 Webflow 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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