Connect RepairShopr and Cassandra to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for RepairShopr
Choose an Action
Automatically do this!
- Request a new Action for Cassandra
Enable Integrations or automations with these events of RepairShopr and Cassandra
Enable Integrations or automations with these events of RepairShopr and Cassandra
Actions
List Appointment Type
Returns the list of appointment types
List All Custom Assets
Returns the list of all custom assets
List All Contacts
Returns the list of all contacts
List All Customers
Returns the list of all customers
List All Estimates
Returns the list of all estimates
List All Invoices
Returns the list of all invoices
Know More About Repairshopr and Cassandra Integrations
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Frequently Asked Questions
To start, connect both your RepairShopr and Cassandra accounts to viaSocket. Once connected, you can set up a workflow where an event in RepairShopr triggers actions in Cassandra (or vice versa).
Absolutely. You can customize how RepairShopr 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.
The data sync between RepairShopr and Cassandra 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 RepairShopr 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.
About RepairShopr
RepairShopr is a platform to manage a service or repair business with job tracking (ticketing) and an emphasis on great communication.
Learn MoreAbout 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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