Connect Steady and Cassandra to Build Intelligent Automations

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Steady

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Choose an Action

Cassandra

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Enable Integrations or automations with these events of Steady and Cassandra

Enable Integrations or automations with these events of Steady and Cassandra

Actions

Get User Info

Get User Info

Get user's information

Add Newsletter Subscriber

Add Newsletter Subscriber

Sends a double-opt-in email to a prospective newsletter subscriber.

Request a new Action for Steady

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Frequently Asked Questions

How do I start an integration between Steady and Cassandra?

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

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

Absolutely. You can customize how Steady 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 Steady and Cassandra?

The data sync between Steady 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 Steady 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 Steady and Cassandra?

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

Steady

About Steady

Steady is a financial service app that helps users find part-time and gig economy jobs, manage their income, and achieve financial stability.

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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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