IntegrationsPlectoAzure Cosmos DB
Plecto + Azure Cosmos DB

Connect Plecto and Azure Cosmos DB to Build Intelligent Automations

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Frequently Asked Questions

How do I start an integration between Plecto and Azure Cosmos DB?

To start, connect both your Plecto and Azure Cosmos DB accounts to viaSocket. Once connected, you can set up a workflow where an event in Plecto triggers actions in Azure Cosmos DB (or vice versa).

Can we customize how data from Plecto is recorded in Azure Cosmos DB?

Absolutely. You can customize how Plecto 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.

How often does the data sync between Plecto and Azure Cosmos DB?

The data sync between Plecto and Azure Cosmos DB 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 Plecto to Azure Cosmos DB?

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 Plecto and Azure Cosmos DB?

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

Plecto

About Plecto

Integrate with Plecto to enhance your data visualization and performance tracking. Seamlessly connect your applications to Plecto's powerful dashboard and reporting tools to monitor key metrics and drive business success.

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Azure Cosmos DB

About 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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