IntegrationsEnvoy for VisitorsTimescaleDB
Envoy for Visitors + TimescaleDB

Connect Envoy for Visitors and TimescaleDB to Build Intelligent Automations

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Envoy for Visitors

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TimescaleDB

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Frequently Asked Questions

How do I start an integration between Envoy for Visitors and TimescaleDB?

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

Can we customize how data from Envoy for Visitors is recorded in TimescaleDB?

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

How often does the data sync between Envoy for Visitors and TimescaleDB?

The data sync between Envoy for Visitors and TimescaleDB 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 Envoy for Visitors to TimescaleDB?

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 Envoy for Visitors and TimescaleDB?

Yes, you can set conditional logic to control the flow of data between Envoy for Visitors and TimescaleDB. 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.

Envoy for Visitors

About Envoy for Visitors

Envoy is a leading platform for workplace management, offering solutions for visitor management, room booking, and employee sign-in. It helps businesses streamline their operations and enhance security.

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TimescaleDB

About TimescaleDB

TimescaleDB is a powerful time-series database designed for fast ingest and complex queries, making it ideal for handling time-series data efficiently. It extends PostgreSQL, providing scalability and performance enhancements specifically for time-series workloads.

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