SurveyMonkey → Mode
AI-first ETL from SurveyMonkey into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads SurveyMonkey into Mode
Datrise syncs SurveyMonkey's surveys, questions, responses, collectors, and quotas into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
SurveyMonkey: Survey creation and response analytics.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How SurveyMonkey entities map to Mode
| SurveyMonkey entity | Mode object | Notes |
|---|---|---|
| surveys | surveymonkey_surveys | id PK · custom fields → flattened columns for SQL and notebooks |
| questions | surveymonkey_questions | id PK · linked to surveymonkey_surveys |
| responses | surveymonkey_responses | id PK · linked to surveymonkey_surveys |
| collectors | surveymonkey_collectors | id PK · linked to surveymonkey_surveys |
FAQ
How does Datrise handle SurveyMonkey's custom fields in Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the SurveyMonkey to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for SurveyMonkey
Early access
Connect SurveyMonkey to Mode the easy way
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