Jira Service Management to PostgreSQL

Copy (ELT) Jira Service Management data to PostgreSQL in a few clicks and keep it up to date automatically.

How to Replicate Jira Service Management Data to PostgreSQL

Copying Jira Service Management data to PostgreSQL cannot be simpler. You just need to perform the following three simple steps.

Step 1

Specify necessary connection parameters for Jira Service Management.

Step 2

Specify necessary connection parameters for PostgreSQL.

Step 3

Select Jira Service Management objects to replicate.

Powerful Replication Features

Automatic Schema Creation

You don’t need to prepare the PostgreSQL database — Skyvia creates the tables, corresponding to the Jira Service Management objects, in the data warehouse automatically.

Complete or Partial Replication

With Skyvia you can extract and load all the data from a Jira Service Management object or disable loading for some Jira Service Management object fields. You can also configure filters for data to replicate.

Optimized Data Loading

Skyvia combines a high-performance optimized batch data loading into PostgreSQL with a granular, per-record data insertion and error logging in case of any errors.

True ETL — Data Import Tool

If you need more than just to copy data from Jira Service Management to PostgreSQL, you may use Skyvia’s powerful ETL functionality for Jira Service Management and PostgreSQL integration. Skyvia’s data import tools will correctly extract Jira Service Management data, transform it, and load to PostgreSQL when PostgreSQL tables have different structure than Jira Service Management objects. Moreover, Skyvia Data Import allows loading data in any direction, supporting Reverse ETL scenario.

Automation and Monitoring

Flexible Scheduling

Use flexible scheduling settings to automate replication

Detailed Logging

You can find detailed logs for each execution in the package Run History.

Email Notifications

Enable email notifications and always know if anything goes wrong.

Integrate Jira Service Management and PostgreSQL with minimal effort and in only a few clicks!