Connect Zoho Vault and Neo4j to Build Intelligent Automations
Enable Integrations or automations with these events of Zoho Vault and Neo4j
Enable Integrations or automations with these events of Zoho Vault and Neo4j
Actions
Create Chamber
Create a chamber to store and share passwords and secrets.
Create User Group
Create a new user group and add members.
Get User Group Details
Retrieve details for a specific user group.
Update User group
Update a user group's name, description, and members.
Get Folder Details
Get details for a specific Vault folder by its folder ID
Update Folder
Update a folder's name and description in Zoho Vault
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Frequently Asked Questions
To start, connect both your Zoho Vault and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Zoho Vault triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Zoho Vault 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 Zoho Vault 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 Zoho Vault 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 Zoho Vault
Zoho Vault is a secure online password manager for teams and individuals, designed to store, share, and manage passwords and sensitive information safely. It offers robust encryption and seamless integration with other Zoho applications, ensuring your data is protected and easily accessible.
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About 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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