DatriseAI-first ETL

Qualaroo to Amazon DynamoDB Integration

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

How Datrise loads Qualaroo into Amazon DynamoDB

Datrise syncs Qualaroo's surveys, responses, questions, respondents, nudges, and sentiment scores 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

Qualaroo: On-site surveys and user sentiment capture.

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

How Qualaroo entities map to Amazon DynamoDB

Qualaroo entityAmazon DynamoDB objectNotes
surveysqualaroo_surveysid PK · custom fields → nested map/list attributes
responsesqualaroo_responsesid PK · linked to qualaroo_surveys
questionsqualaroo_questionsid PK · linked to qualaroo_surveys
respondentsqualaroo_respondentsid PK · linked to qualaroo_surveys

FAQ

How does Datrise handle Qualaroo'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 Qualaroo 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

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