Connect OnOffice Enterprise and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for OnOffice Enterprise
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of OnOffice Enterprise and TimescaleDB
Enable Integrations or automations with these events of OnOffice Enterprise and TimescaleDB
Actions
Create Agent Log Entry
Create agent activity log
Create Calendar Appointment
Create calendar appointment
Get Appointments
Get appointments between dates
Get Estate Listings
Retrieve estate listings
Create Estate
Create a new property listing
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Frequently Asked Questions
To start, connect both your OnOffice Enterprise and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in OnOffice Enterprise triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how OnOffice Enterprise 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.
The data sync between OnOffice Enterprise and TimescaleDB 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 OnOffice Enterprise 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.
About OnOffice Enterprise
Due to the level of innovation, quality and reliability, onOffice estate software is a web-based tool that enables a plethora of activities such as cloud networking, optimization of work processes, creation of goal-oriented websites as well as efficient marketing.
Learn MoreAbout 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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