Connect WebAsk and Cassandra to Build Intelligent Automations

Choose a Trigger

WebAsk

When this happens...

Choose an Action

Cassandra

Automatically do this!

Enable Integrations or automations with these events of WebAsk and Cassandra

Enable Integrations or automations with these events of WebAsk and Cassandra

Triggers

New Survey Response Submitted

New Survey Response Submitted

Runs when new survey response is submitted

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Frequently Asked Questions

How do I start an integration between WebAsk and Cassandra?

To start, connect both your WebAsk and Cassandra accounts to viaSocket. Once connected, you can set up a workflow where an event in WebAsk triggers actions in Cassandra (or vice versa).

Can we customize how data from WebAsk is recorded in Cassandra?

Absolutely. You can customize how WebAsk data is recorded in Cassandra. This includes choosing which data fields go into which fields of Cassandra, setting up custom formats, and filtering out unwanted information.

How often does the data sync between WebAsk and Cassandra?

The data sync between WebAsk and Cassandra typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from WebAsk to Cassandra?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between WebAsk and Cassandra?

Yes, you can set conditional logic to control the flow of data between WebAsk and Cassandra. 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.

WebAsk

About WebAsk

WebAsk is a platform designed to facilitate user inquiries and provide instant answers through an intuitive interface, enhancing communication and information retrieval.

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Cassandra

About Cassandra

Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.

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