Connect Ubidots and Google Cloud Bigtable to Build Intelligent Automations
Choose a Trigger
When this happens...
Variable Updated
Choose an Action
Automatically do this!
- Request a new Action for Google Cloud Bigtable
Enable Integrations or automations with these events of Ubidots and Google Cloud Bigtable
Enable Integrations or automations with these events of Ubidots and Google Cloud Bigtable
Triggers
Variable Updated
Triggers when a Variable received a new value.
Actions
Create Dot
Create a dot (data point) in the Ubidots Variable and Device of your choice.
Create Device
Creates a device.
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- Send for Approval acceptCreate Entry of expensesAdd Step
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- has responseSendDMMessageAdd Step
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- has reactSendDMMessage ReactAdd Step
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Frequently Asked Questions
To start, connect both your Ubidots and Google Cloud Bigtable accounts to viaSocket. Once connected, you can set up a workflow where an event in Ubidots triggers actions in Google Cloud Bigtable (or vice versa).
Absolutely. You can customize how Ubidots 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 Ubidots 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 Ubidots 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 Ubidots
Rapidly assemble and launch Internet of Things (IoT) applications without having to write code or hire a software development team.
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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