No-code pipeline · Jira → MySQL

Send data from Jira to MySQL

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From Jira to MySQL: managed, scheduled, no code.
Creating a pipeline that sends data from Jira to MySQL databases takes only a few minutes with Kondado. And the whole integration from Jira to MySQL 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 MySQL database

Send Jira Data to MySQL Automatically

How to send Jira data to MySQL? Kondado provides a direct integration that replicates your agile project data to MySQL without requiring code. Simply connect your Jira account as a data source, configure your MySQL destination, and select from 13 available pipelines to start automated replication. You control the update frequency, choosing intervals from 5 minutes to daily depending on your analysis needs.

Kondado automatically replicates 165 fields across 13 Jira pipelines including Issues, Boards, Sprints, and Projects to MySQL on a configurable schedule, enabling SQL-based analysis of sprint velocity, issue resolution times, and project progress alongside data from other business tools.

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

Once your Jira data lands in MySQL, you can build custom reports analyzing sprint performance using the Issues and Boards Sprints pipelines to track velocity trends and completion rates. Combine Issues Custom Fields with Issues Change History to create granular productivity dashboards that show how task attributes evolve over time and which custom fields impact delivery timelines. This SQL-accessible data enables you to join Jira metrics with financial or CRM data for comprehensive project ROI analysis.

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Replicated to MySQL

Jira data available for MySQL

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

13
available pipelines
165
extractable fields
MySQL
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.

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How to send Jira data to MySQL

Sync data automatically — no code, no manual exports.

1
Connect Jira as Data Source

Authenticate your Jira account in Kondado by providing your credentials or API token, granting access to your project management data.

2
Configure MySQL Destination

Enter your MySQL connection details including host, database name, and credentials to establish the destination for your replicated Jira data.

3
Select Pipelines and Schedule

Choose from 13 available pipelines such as Issues, Boards, and Sprints, then set your preferred update frequency from 5 minutes to daily for automated replication.

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Send data from Jira to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending Jira data to MySQL automatically

How often does Kondado update Jira data in MySQL?
Kondado replicates data on a configurable schedule that you control, with options ranging from every 5 minutes to daily updates. You select the frequency when setting up your pipeline, ensuring your MySQL database reflects the latest project status without manual exports.
What Jira data can I replicate to MySQL?
You can replicate 13 pipelines including Issues, Boards, Sprints, Projects, Issues Change History, and Issues Custom Fields. This covers task details, sprint planning data, board configurations, and historical changes across 165 available fields.
Can I combine Jira data with other sources in MySQL?
Yes, once Jira data resides in MySQL, you can join it with data from other sources like Jira combined with PostgreSQL or BigQuery exports. This enables unified reporting across project management, sales, and financial systems.
How is Jira data structured in MySQL?
Each pipeline maps to distinct relational structures in your database, preserving connections through keys like issue ID and project ID. The Issues pipeline contains task details, while Boards Issues Relationship maintains connections between tasks and boards for relational queries.
Do I need technical skills to set up Jira to MySQL replication?
No coding is required to connect Jira and configure the data transfer. The interface guides you through authentication, destination setup, and pipeline selection, making it accessible for analysts and project managers without database administration experience.
Can I track historical changes to Jira issues in MySQL?
Yes, the Issues Change History pipeline captures every modification including change dates, authors, and field updates. This allows you to analyze how issue priorities, statuses, and assignments have evolved throughout your project lifecycle.
What can I build with Jira data in MySQL?
You can create custom dashboards showing sprint burndown rates, engineer workload distribution, and project timeline forecasts. The structured data supports SQL queries for calculating velocity trends, identifying bottlenecks, and correlating development metrics with business outcomes.

Try out all the features for free for 14 days

Try out all the features for free for 14 days