DatriseAI-first ETL

SurveyMonkey Amazon Athena

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

How Datrise loads SurveyMonkey into Amazon Athena

Datrise syncs SurveyMonkey's surveys, questions, responses, collectors, and quotas into Amazon Athena as partitioned Parquet in S3 exposed as an Athena table. Flexible or custom fields land in struct/map columns in Parquet, and timestamps such as created, updated, and status changes are typed as timestamp.

Sync is incremental: Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog, so re-runs update only what changed. Hive-style partitioning by load date so Athena scans only new data. Athena bills per byte scanned and small files hurt, so Datrise compacts to right-sized Parquet rather than many tiny objects.

Ideal for serverless SQL over an S3 lake without a running warehouse.

Endpoints

SurveyMonkey: Survey creation and response analytics.

Amazon Athena: Serverless SQL over S3 data lake tables.

How SurveyMonkey entities map to Amazon Athena

SurveyMonkey entityAmazon Athena objectNotes
surveyssurveymonkey_surveysid PK · custom fields → struct/map columns in Parquet
questionssurveymonkey_questionsid PK · linked to surveymonkey_surveys
responsessurveymonkey_responsesid PK · linked to surveymonkey_surveys
collectorssurveymonkey_collectorsid PK · linked to surveymonkey_surveys

FAQ

How does Datrise handle SurveyMonkey's custom fields in Amazon Athena?

Flexible values are stored as struct/map columns in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Athena types.

How does the SurveyMonkey to Amazon Athena sync stay up to date?

It runs incrementally — Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog.

Related pipelines

Early access

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