DatriseAI-first ETL

Typeform Amazon DynamoDB

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

How Datrise loads Typeform into Amazon DynamoDB

Datrise syncs Typeform's forms, responses, questions, workspaces, and completion metrics 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

Typeform: Conversational forms and response analytics.

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

How Typeform entities map to Amazon DynamoDB

Typeform entityAmazon DynamoDB objectNotes
formstypeform_formsid PK · custom fields → nested map/list attributes
responsestypeform_responsesid PK · linked to typeform_forms
questionstypeform_questionsid PK · linked to typeform_forms
workspacestypeform_workspacesid PK · linked to typeform_forms

FAQ

How does Datrise handle Typeform'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 Typeform 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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