IntegrationsSMTPGoogle Cloud Bigtable
SMTP + Google Cloud Bigtable

Connect SMTP and Google Cloud Bigtable to Build Intelligent Automations

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SMTP

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Google Cloud Bigtable

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Frequently Asked Questions

How do I start an integration between SMTP and Google Cloud Bigtable?

To start, connect both your SMTP and Google Cloud Bigtable accounts to viaSocket. Once connected, you can set up a workflow where an event in SMTP triggers actions in Google Cloud Bigtable (or vice versa).

Can we customize how data from SMTP is recorded in Google Cloud Bigtable?

Absolutely. You can customize how SMTP 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.

How often does the data sync between SMTP and Google Cloud Bigtable?

The data sync between SMTP and Google Cloud Bigtable typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from SMTP to Google Cloud Bigtable?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between SMTP and Google Cloud Bigtable?

Yes, you can set conditional logic to control the flow of data between SMTP 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.

SMTP

About SMTP

SMTP (Simple Mail Transfer Protocol) is like a digital postman that sends your emails to the right place on the internet. To use it, you’ll need the SMTP server address (like smtp.gmail.com), port number (587 or 465), and your email login credentials.

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Google Cloud Bigtable

About 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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