Connect Mapsly and Azure Cosmos DB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Mapsly
Choose an Action
Automatically do this!
- Request a new Action for Azure Cosmos DB
Enable Integrations or automations with these events of Mapsly and Azure Cosmos DB
Enable Integrations or automations with these events of Mapsly and Azure Cosmos DB
Actions
Create or Update record
Creates a new or update an existing record.
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Frequently Asked Questions
To start, connect both your Mapsly and Azure Cosmos DB accounts to viaSocket. Once connected, you can set up a workflow where an event in Mapsly triggers actions in Azure Cosmos DB (or vice versa).
Absolutely. You can customize how Mapsly data is recorded in Azure Cosmos DB. This includes choosing which data fields go into which fields of Azure Cosmos DB, setting up custom formats, and filtering out unwanted information.
The data sync between Mapsly and Azure Cosmos DB 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 Mapsly and Azure Cosmos DB. 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 Mapsly
Mapsly is a powerful geo-mapping and location intelligence platform that integrates with your CRM to provide advanced mapping, routing, and territory management capabilities. It helps businesses visualize their data on a map, optimize routes, and manage territories effectively.
Learn MoreAbout Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model database service provided by Microsoft. It is designed to enable developers to build highly responsive and scalable applications with ease. With its seamless integration with other Azure services, it offers comprehensive support for various data models and APIs, ensuring flexibility and performance for modern applications.
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