No-code pipeline · Jira → PostgreSQL

Send data from Jira to PostgreSQL

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From Jira to PostgreSQL: managed, scheduled, no code.

Creating a pipeline that sends data from Jira to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Jira to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Jira data and combining it with other data in your PostgreSQL database

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Send Jira Data to PostgreSQL Automatically

How do you send Jira data to PostgreSQL? Kondado provides a no-code solution that replicates your agile project management data from Jira to PostgreSQL on a configurable schedule. Simply connect your Jira account as a data source, configure your PostgreSQL database as the destination, and select which pipelines you want to replicate. The platform handles the data extraction and loading automatically, updating your database every 5 minutes, hourly, or daily based on your business needs. Once in PostgreSQL, you can analyze sprint velocity, track issue resolution times, and build custom reports using SQL queries or connect to visualization tools.

Kondado replicates 13 Jira pipelines including Issues, Projects, and Sprints to PostgreSQL automatically on a configurable schedule, enabling SQL-based analysis of agile metrics without manual data exports.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Jira Pipelines for PostgreSQL

With the Issues pipeline, you can track ticket lifecycles and resolution patterns directly in your PostgreSQL database, enabling detailed cycle time analysis and bottleneck identification. The Boards Sprints pipeline delivers sprint metadata and velocity metrics that help teams forecast capacity and optimize release planning. By combining Issues Links data with Projects information, you can map dependency chains across initiatives and visualize how work items connect across different organizational units. This structured data in PostgreSQL supports complex queries that power custom dashboards in Looker Studio, Power BI, or your preferred analytics stack.

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Replicated to PostgreSQL

Jira data available for PostgreSQL

Tables Kondado writes into your PostgreSQL, on a schedule you control.

available pipelines

165

extractable fields

PostgreSQL

Destination

Available integrations

Boards

Includes fields such as id, name, and type of the board, along with the associated project ID.

Boards Column Configuration

Presents fields such as column name, board ID, and status URL, allowing insight into the board's structure.

Boards Issues Relationship

Shows the relationship between issues and boards with fields such as issue ID and issue key.

Boards Sprints

Includes information about sprints, such as sprint ID, start date, and sprint state.

Issues

Contains fields such as issue ID, key, due date, and current status, enabling task management.

Issues Custom Fields

Allows the inclusion of custom fields for issues, facilitating the customization of information.

Issues Change History

Records changes with fields such as changelog ID, change date, and change author.

Issues Web Links

Includes links related to issues, allowing quick access to external resources.

Issues Activity Logs

Provides activity logs with fields such as issue ID and activity date, useful for auditing.

Issues Links

Presents links between issues, allowing visualization of relationships and dependencies between tasks.

Projects

Includes fields such as id, project name, and project type, enabling effective viewing and management of ongoing projects.

Sprints: relationship with issues

Presents fields such as sprint id, board id, and sprint state, facilitating the tracking of progress for related tasks.

Status

Contains information on id, status name, and description, allowing understanding of the current state of tasks and their lifecycle.

See all available data → Send Jira to PostgreSQL →

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How to send Jira data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Jira as data source

Authenticate your Jira account in Kondado by providing your API credentials and selecting your organization domain. The platform will automatically detect available projects and board configurations for replication.

Configure PostgreSQL destination

Enter your PostgreSQL connection details including host, port, database name, and credentials to establish the target database where Jira data will land. Kondado supports both cloud-hosted and on-premise PostgreSQL instances.

Select pipelines and schedule updates

Choose from 13 available pipelines such as Issues, Projects, and Sprints, then set your preferred update frequency ranging from 5 minutes to daily. Once activated, Kondado begins the initial replication and maintains automated updates according to your schedule.

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Send data from Jira to other destinations

Jira > Looker Studio

Jira > Power BI

Other visualizations

Jira > Amazon S3

Jira > BigQuery

Jira > Excel

Jira > Google Sheets

Jira > MySQL

Jira > PostgreSQL

Jira > Redshift

Jira > SQL Server

Choose a tool to visualize your Jira data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Jira > Airtable

Jira > Alteryx

Jira > Amazon Quicksight

Jira > BIMachine

Jira > Cortex

Jira > Data Studio

Jira > Geckoboard

Jira > Grafana

Jira > IBM Cognos Analytics

Jira > Klipfolio

Jira > Looker Studio

Jira > Looker

Jira > Looqbox

Jira > Metabase

Jira > Microstrategy

Jira > Pentaho

Jira > Power BI

Jira > Qlik Cloud Analytics

Jira > Qlik Sense

Jira > Qlik

Jira > QlikView

Jira > Redash

Jira > Superset

Jira > Tableau

Jira > BI TOTVS

Jira > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Jira data to PostgreSQL automatically

How often can I update Jira data in PostgreSQL? ▼

Kondado replicates data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. You can set different frequencies for different pipelines based on your analysis needs and API rate limits.

What Jira fields are available in the Issues pipeline? ▼

The Issues pipeline contains 165 available fields including issue ID, key, due date, current status, assignee information, and priority levels. This comprehensive dataset enables detailed tracking of task ownership, deadlines, and workflow states directly in your PostgreSQL database.

Can I combine Jira data with other sources in PostgreSQL? ▼

Yes, you can replicate data from multiple sources into the same PostgreSQL instance, allowing you to join Jira project tracking with CRM data, financial systems, or marketing analytics. This unified approach enables cross-functional reporting that connects development metrics with business outcomes in Power BI or Looker Studio.

How does the Issues Change History pipeline work? ▼

The Issues Change History pipeline records every modification made to your Jira tickets, capturing changelog ID, change date, and change author for complete audit trails. This allows you to analyze how long issues spend in each status, identify process bottlenecks, and understand team productivity patterns over time.

What format does Jira data take in PostgreSQL? ▼

Kondado creates structured relational tables in PostgreSQL that mirror your selected Jira pipelines, with each pipeline becoming its own table containing normalized field data. The schema preserves relationships between entities through foreign keys, making it easy to write SQL joins between Issues, Projects, and Sprints data.

Can I track custom fields from Jira issues? ▼

Yes, the Issues Custom Fields pipeline specifically handles your organization's unique Jira configurations, replicating custom field values and definitions alongside standard issue data. This ensures your PostgreSQL database reflects the exact metadata structure your team uses for categorizing and prioritizing work.

How do I query sprint velocity using the Boards Sprints pipeline? ▼

The Boards Sprints pipeline delivers sprint ID, start date, end date, and sprint state data that you can join with the Issues pipeline to calculate completed story points per sprint. By writing SQL queries that aggregate this data in PostgreSQL, you can build velocity charts and predict future team capacity for agile planning.

Try out all the features for free for 14 days

Related on Kondado

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