Connect Botbiz and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Botbiz
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of Botbiz and TimescaleDB
Enable Integrations or automations with these events of Botbiz and TimescaleDB
Actions
Send Template Message
Send template WhatsApp message to any mobile number.
Get Conversation
Get Conversation of particular subscriber.
Send WhatsApp Message
Send WhatsApp message to any mobile number.
Create Subscriber
Create a Subscriber/Contact.
Assign Labels To Subscriber
Assign multiple labels to Subscriber.
Get Subscriber
Get Subscriber Using subscriber Phone Number.
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Frequently Asked Questions
To start, connect both your Botbiz and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Botbiz triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how Botbiz data is recorded in TimescaleDB. This includes choosing which data fields go into which fields of TimescaleDB, setting up custom formats, and filtering out unwanted information.
The data sync between Botbiz and TimescaleDB 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 Botbiz and TimescaleDB. 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 Botbiz
Botbiz is a platform that specializes in creating and managing chatbots for businesses. It offers tools and services to design, deploy, and optimize chatbots for various customer interaction needs, enhancing customer support and engagement.
Learn MoreAbout TimescaleDB
TimescaleDB is a powerful time-series database designed for fast ingest and complex queries, making it ideal for handling time-series data efficiently. It extends PostgreSQL, providing scalability and performance enhancements specifically for time-series workloads.
Learn More
