IntegrationsAdrollCassandra
Adroll + Cassandra

Connect Adroll and Cassandra to Build Intelligent Automations

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Adroll

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Cassandra

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Enable Integrations or automations with these events of Adroll and Cassandra

Enable Integrations or automations with these events of Adroll and Cassandra

Actions

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Frequently Asked Questions

How do I start an integration between Adroll and Cassandra?

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

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

Absolutely. You can customize how Adroll 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 Adroll and Cassandra?

The data sync between Adroll 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 Adroll 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 Adroll and Cassandra?

Yes, you can set conditional logic to control the flow of data between Adroll 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.

Adroll

About Adroll

AdRoll is a comprehensive marketing platform that helps businesses of all sizes to grow their online presence through targeted advertising and personalized marketing campaigns. It offers tools for retargeting, prospecting, and email marketing, enabling users to reach their audience across various channels and devices.

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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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