Connect Detrack and Google Cloud Bigtable to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Detrack
Choose an Action
Automatically do this!
- Request a new Action for Google Cloud Bigtable
Enable Integrations or automations with these events of Detrack and Google Cloud Bigtable
Enable Integrations or automations with these events of Detrack and Google Cloud Bigtable
Actions
Create Job
Creates a Job in the Detrack Dashboard.
List Jobs
List all jobs
Create Batch
Create multiple delivery or collection jobs in Detrack as a single batch.
Update Job
Update one or more Detrack jobs (DO numbers). Modify job date, type, address, contact, phone, notification email, tracking number, and items — any fields left blank remain unchanged.
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Frequently Asked Questions
To start, connect both your Detrack and Google Cloud Bigtable accounts to viaSocket. Once connected, you can set up a workflow where an event in Detrack triggers actions in Google Cloud Bigtable (or vice versa).
Absolutely. You can customize how Detrack 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 Detrack 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 Detrack 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 Detrack
Detrack is a live delivery tracking system that offers a robust Proof of Delivery system to last-mile couriers and logistics.
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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