Connect Google Map and Redis to Build Intelligent Automations
Enable Integrations or automations with these events of Google Map and Redis
Enable Integrations or automations with these events of Google Map and Redis
Actions
Search For Places
Adds a new location to your Google Map.
Get Direction
get a direction and details.
Get a Location
Return latitude, longitude, and formatted address for the provided address.
Get a Timezone
retrieves timezone details.
Get an Elevation
retrieves elevation details.
Get a Distance Matrix
retrieve travel distance and estimate time between locations.
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Frequently Asked Questions
To start, connect both your Google Map and Redis accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Map triggers actions in Redis (or vice versa).
Absolutely. You can customize how Google Map 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.
The data sync between Google Map and Redis 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 Google Map 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.
About Google Map
Google Map is a web-based service that provides detailed information about geographical regions and sites around the world. It offers satellite imagery, street maps, 360° panoramic views of streets, real-time traffic conditions, and route planning for traveling by foot, car, bicycle, and air. It is widely used for navigation and location-based services.
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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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