Connect Mapsly and Redis to Build Intelligent Automations

Choose a Trigger

Mapsly

When this happens...

Choose an Action

Redis

Automatically do this!

Enable Integrations or automations with these events of Mapsly and Redis

Enable Integrations or automations with these events of Mapsly and Redis

Actions

Create or Update record

Create or Update record

Creates a new or update an existing record.

Request a new Action for Mapsly

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Frequently Asked Questions

How do I start an integration between Mapsly and Redis?

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

Can we customize how data from Mapsly is recorded in Redis?

Absolutely. You can customize how Mapsly data is recorded in Redis. This includes choosing which data fields go into which fields of Redis, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Mapsly and Redis?

The data sync between Mapsly and Redis 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 Mapsly to Redis?

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 Mapsly and Redis?

Yes, you can set conditional logic to control the flow of data between Mapsly and Redis. 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.

Mapsly

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.

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Redis

About Redis

Redis is an open-source, in-memory data structure store, used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, and more, making it highly versatile for developers looking to build high-performance applications.

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