Connect SurveyMonkey and amazon redshift to Build Intelligent Automations
Enable Integrations or automations with these events of SurveyMonkey and amazon redshift
Enable Integrations or automations with these events of SurveyMonkey and amazon redshift
Triggers
New Survey Response
Triggers when new survey response arrives
New Survey
Triggers when new survey is created
Actions
Create a Contact
Creates a new contact in the address book.
Find Survey
Finds the Surveys by survey id.
Find collector
Find collector for one of your survey
Find message
Find message in surveymonkey
Find contact by email
Finds a contact in SurveyMonkey using an email address.
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Frequently Asked Questions
To start, connect both your SurveyMonkey and amazon redshift accounts to viaSocket. Once connected, you can set up a workflow where an event in SurveyMonkey triggers actions in amazon redshift (or vice versa).
Absolutely. You can customize how SurveyMonkey data is recorded in amazon redshift. This includes choosing which data fields go into which fields of amazon redshift, setting up custom formats, and filtering out unwanted information.
The data sync between SurveyMonkey and amazon redshift typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between SurveyMonkey and amazon redshift. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About SurveyMonkey
SurveyMonkey is a cloud-based survey tool that helps users create, send, and analyze surveys. Users can use a variety of question types, deploy surveys across multiple platforms, and utilize tools for data analysis and integration with other services.
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About amazon redshift
Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake.
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