Connect FastSpring and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for FastSpring
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of FastSpring and Neo4j
Enable Integrations or automations with these events of FastSpring and Neo4j
Actions
Create an Account
Creates a new account object.
Search Account By Email
Searches for an account by email.
Get Product By path
Retrieves the details of an existing product with the given product_path.
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Frequently Asked Questions
To start, connect both your FastSpring and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in FastSpring triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how FastSpring data is recorded in Neo4j. This includes choosing which data fields go into which fields of Neo4j, setting up custom formats, and filtering out unwanted information.
The data sync between FastSpring and Neo4j 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 FastSpring and Neo4j. 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 FastSpring
FastSpring is a comprehensive eCommerce platform designed to help businesses sell software, digital products, and services online. It offers a range of features including global payment processing, subscription management, and localized purchasing experiences to enhance customer satisfaction and streamline sales operations.
Learn MoreAbout Neo4j
Neo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.
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