Connect TRIPLOG and Google Cloud Bigtable to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for TRIPLOG
Choose an Action
Automatically do this!
- Request a new Action for Google Cloud Bigtable
Enable Integrations or automations with these events of TRIPLOG and Google Cloud Bigtable
Enable Integrations or automations with these events of TRIPLOG and Google Cloud Bigtable
Actions
Get State Mileage
Get an existing state mileage.
Search Receipts
Search a Receipts.
List Trips
List all Trips corresponding to email.
Create User
Creates a User.
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Frequently Asked Questions
To start, connect both your TRIPLOG and Google Cloud Bigtable accounts to viaSocket. Once connected, you can set up a workflow where an event in TRIPLOG triggers actions in Google Cloud Bigtable (or vice versa).
Absolutely. You can customize how TRIPLOG 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 TRIPLOG 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 TRIPLOG 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 TRIPLOG
TripLog is a comprehensive mileage tracking and expense management solution designed to help businesses and individuals efficiently manage their travel expenses. With features like automatic mileage tracking, expense reporting, and integration with accounting software, TripLog simplifies the process of tracking and managing travel-related costs.
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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