Connect SMS Manager by BulkSMS and Google Cloud Bigtable to Build Intelligent Automations
Choose a Trigger
When this happens...
Delivery Receipt Received
Choose an Action
Automatically do this!
- Request a new Action for Google Cloud Bigtable
Enable Integrations or automations with these events of SMS Manager by BulkSMS and Google Cloud Bigtable
Enable Integrations or automations with these events of SMS Manager by BulkSMS and Google Cloud Bigtable
Triggers
Delivery Receipt Received
Runs when a sent message is delivered or fails.
Actions
Send SMS
Send an SMS message to one or more phone numbers.
Create Contact
Adds a new contact to SMS Manager.
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Frequently Asked Questions
To start, connect both your SMS Manager by BulkSMS and Google Cloud Bigtable accounts to viaSocket. Once connected, you can set up a workflow where an event in SMS Manager by BulkSMS triggers actions in Google Cloud Bigtable (or vice versa).
Absolutely. You can customize how SMS Manager by BulkSMS 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 SMS Manager by BulkSMS 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 SMS Manager by BulkSMS 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.
About SMS Manager by BulkSMS
SMS Manager by BulkSMS.com.au is a bulk SMS and MMS messaging platform. Send and receive text messages via API.
Learn MoreAbout Google Cloud Bigtable
Google 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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