
When this happens...

Automatically do this!
Enable Integrations or automations with these events of AX Semantics and TimescaleDB
To get all the collections.
Fetch details of a specific collection
Display a combined status of all ongoing tasks.
get a list of all documents.
Put a new document into a collection.
Delete all data from a collection
Explore more automations built by businesses and experts

Gain insights into how viaSocket functions through our detailed guide. Understand its key features and benefits to maximize your experience and efficiency.

Unlock your team's potential with 5 straightforward automation hacks designed to streamline processes and free up valuable time for more important work.

Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your AX Semantics and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in AX Semantics triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how AX Semantics 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 AX Semantics 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 AX Semantics 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.
AX Semantics is an AI-powered content generation platform that enables users to automate the creation of written content across various languages and formats.
Learn MoreTimescaleDB 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