IntegrationsHubstaffTimescaleDB
Hubstaff + TimescaleDB

Connect Hubstaff and TimescaleDB to Build Intelligent Automations

Choose a Trigger

Hubstaff

When this happens...

Choose an Action

TimescaleDB

Automatically do this!

We'll help you get started

Our team is all set to help you!

Customer support expert avatarTechnical support expert avatarAutomation specialist expert avatarIntegration expert avatar

Frequently Asked Questions

How do I start an integration between Hubstaff and TimescaleDB?

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

Can we customize how data from Hubstaff is recorded in TimescaleDB?

Absolutely. You can customize how Hubstaff 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 Hubstaff and TimescaleDB?

The data sync between Hubstaff 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 Hubstaff 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 Hubstaff and TimescaleDB?

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

Hubstaff

About Hubstaff

Hubstaff is a time tracking software that helps remote managers see what their workers are doing and track time to specific projects. It also provides detailed reports and productivity analytics.

Learn More
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.

Learn More