Integrations Customers.ai Cassandra
Customers.ai + Cassandra

Connect Customers.ai and Cassandra to Build Intelligent Automations

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Customers.ai

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Cassandra

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Enable Integrations or automations with these events of Customers.ai and Cassandra

Enable Integrations or automations with these events of Customers.ai and Cassandra

Actions

Create Contact

Create Contact

Create a new contact in Customers.ai using phone or email, channel, optional name, and custom attributes.

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Frequently Asked Questions

How do I start an integration between Customers.ai and Cassandra?

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

Can we customize how data from Customers.ai is recorded in Cassandra?

Absolutely. You can customize how Customers.ai 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 Customers.ai and Cassandra?

The data sync between Customers.ai 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 Customers.ai 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 Customers.ai and Cassandra?

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

Customers.ai

About Customers.ai

Customers.ai is a lead-generating and outbound automation platform. Find who your customers are and contact them.

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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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