Connect TaxJar and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for TaxJar
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of TaxJar and TimescaleDB
Enable Integrations or automations with these events of TaxJar and TimescaleDB
Actions
Create an Order Transaction
Creates a new order transaction in TaxJar.
Create a Customer
Creates a new customer in TaxJar.
List Categories
Gets the latest product categories and corresponding tax codes.
List Customers
Lists existing customers created.
List Nexus Regions
Lists existing nexus regions for a TaxJar account, sorted alphabetically.
Create a Refund Transaction
Creates a new refund transaction in TaxJar.
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Frequently Asked Questions
To start, connect both your TaxJar and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in TaxJar triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how TaxJar 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 TaxJar 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 TaxJar 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 TaxJar
TaxJar’s award-winning solution makes it easy to automate sales tax management, reporting and filing. We obsessively leverage technology and exceptional customer service to help you focus on what matters most — growing your business.
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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