Enable Integrations or automations with these events of Mobile Text Alerts and Google Cloud Bigtable
Triggered when a sent SMS message's delivery status changes (e.g., delivered, failed, or pending).
Triggers when a new message reply is received.
Triggered when a new SMS message is sent.
Adds a new subscriber.
Add a specific subcriber to group.
Send a text message to one or more selected subscribers or groups.
Create a reusable SMS or MMS template with message text and an optional attachment URL.
Delete a scheduled SMS or MMS using its scheduled message ID.
Remove one or more subscribers from group.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Mobile Text Alerts and Google Cloud Bigtable accounts to viaSocket. Once connected, you can set up a workflow where an event in Mobile Text Alerts triggers actions in Google Cloud Bigtable (or vice versa).
Absolutely. You can customize how Mobile Text Alerts data is recorded in Google Cloud Bigtable. This includes choosing which data fields go into which fields of Google Cloud Bigtable, setting up custom formats, and filtering out unwanted information.
The data sync between Mobile Text Alerts and Google Cloud Bigtable 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 Mobile Text Alerts and Google Cloud Bigtable. 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.
Mobile Text Alerts allows you send mass SMS text messages to your group.
Learn MoreGoogle Cloud Bigtable is a fully managed, scalable NoSQL database service designed for large analytical and operational workloads. It is ideal for applications that require high throughput and low latency, such as IoT, user analytics, and financial data analysis.
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