Connect Chatbot AI and Oracle Database to Build Intelligent Automations
Choose a Trigger
When this happens...
New Message Arrives
Choose an Action
Automatically do this!
Execute a query
Insert a Row
Create or Update
Update a row
Find row
Find row via Custom Query
Ready to use Chatbot AI and Oracle Database automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Message Arrives
Runs when new message arrives
Do thisActions
Action is the task that follows automatically within your Chatbot AI integrations.
Send WhatsApp Template Message
Send WhatsApp template message
Add Or Update Contact
Add or update a user's profile
Delete Contact
Add or update a user's profile
Execute a query
Execute a query on Oracle Database
Insert a Row
Insert a row in Oracle Database table
Create or Update
Create or Update a row in Oracle Database table
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Frequently Asked Questions
To start, connect both your Chatbot AI and Oracle Database accounts to viaSocket. Once connected, you can set up a workflow where an event in Chatbot AI triggers actions in Oracle Database (or vice versa).
Absolutely. You can customize how Chatbot AI data is recorded in Oracle Database. This includes choosing which data fields go into which fields of Oracle Database, setting up custom formats, and filtering out unwanted information.
The data sync between Chatbot AI and Oracle Database 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 Chatbot AI and Oracle Database. 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 Oracle Database
Oracle Database is a multi-model database management system produced and marketed by Oracle Corporation. It is designed to store and retrieve large amounts of data, providing high performance, scalability, and reliability for enterprise applications. Oracle Database supports SQL as a query language and offers features such as data warehousing, online transaction processing, and data security.
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