Connectors

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Jira

Data replication

Sync Jira data anywhere.

Jira is an issue tracking software by Atlassian that assists developers in bug tracking and agile project management. With software support throughout the entire development process, from planning to tracking, to the final release, and reports based on real-time data to improve team performance, Jira is the go-to software development tool for agile teams.

  • Certified
  • Generally available
  • 55 streams
  • 9 entities
  • Read & write
Sync Jira dataRead the docs
Jira

One connector

Everything Jira can do in Airbyte

  • Sync to your warehouse

    Land 55 Jira tables in 50+ destinations on a schedule you control.

  • Live entity actions

    Read, create, update and delete Jira records at runtime through typed entity actions.

  • Context store search

    Query synced Jira data with filters, sorting and semantic search, without spending Jira API rate limits.

  • Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

Specifications

What to know before you sync Jira

  • Support levelCertified
  • Available onCloud, Self-Managed Enterprise
  • Connector version6.0.1
  • Release stageGenerally available

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • Destinations50+ Airbyte connectors

Set up in 10 steps

  1. First, navigate to the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
  2. Click on the "Add Source" button in the top right corner of the screen.
  3. Select "Jira" from the list of available sources.
  4. Enter a name for your Jira source connector and click "Next".
  5. Enter your Jira credentials, including the Jira URL, email address, and API token.
  6. Test the connection to ensure that the credentials are correct and the connection is successful.
  7. Select the Jira projects and issue types that you want to replicate in Airbyte.
  8. Choose the replication frequency and any other settings that you want to apply to your Jira source connector.
  9. Click "Create Source" to save your Jira source connector and begin replicating data from Jira to Airbyte.
  10. It is important to note that the specific steps for connecting your Jira source connector may vary depending on your specific use case and the version of Jira that you are using. For more detailed instructions and troubleshooting tips, refer to the Airbyte documentation or consult with a Jira expert.

55 streams

Every table you can sync from Jira

  • Application roles

  • Avatars

  • Boards

  • Dashboards

  • Filters

  • Filter sharing

  • Groups

  • Issue fields

  • Issue custom field contexts

  • Issue custom field options

  • Issue link types

  • Issue navigator settings

  • Issue notification schemes

  • Issue priorities

  • Issue properties

  • Issue remote links

  • Issue resolutions

  • Issue security schemes

  • Issue transitions

  • Issue type schemes

  • Issue type screen schemes

  • Issue types

  • Issue votes

  • Issue watchers

  • Jira settings

  • Labels

  • Permissions

  • Permission schemes

  • Projects

  • Project avatars

  • Project categories

  • Project components

  • Project email

  • Project permission schemes

  • Project roles

  • Project types

  • Project versions

  • Screens

  • Screen tabs

  • Screen tab fields

  • Screen schemes

  • Sprints

  • Time tracking

  • Users

  • UsersGroupsDetailed

  • Workflows

  • Workflow schemes

  • Workflow statuses

  • Workflow status categories

  • Board issues

  • Issue changelogs

  • Issue comments

  • Issue worklogs

  • Issues

  • Sprint issues

7 actions

Supported Jira actions

  • API Search

  • Create

    Write a new record back into Jira.

  • Get

    Fetch a single record by ID.

  • Update

    Patch fields on an existing record.

  • Delete

    Remove a record.

  • Context Store Search

    Query synced data with filters and sorting, with no API rate limits.

  • List

    Read live records straight from the Jira API.

Full parameter-level details live in the Jira entity reference.

Authentication

Authenticate Jira once

  • API Token

  • Service Account

    • Recommended

    OAuth2.0

Use cases

What teams build with Jira

Show me all open issues in my Jira instance

List recent issues created in the last 7 days

List all projects in my Jira instance

Show me details for the most recently updated issue

List all users in my Jira instance

Show me comments on the most recent issue

Show me worklogs from the last 7 days

Assign a recent issue to a teammate

Unassign a recent issue

Create a new task called 'Sample task' in a project

Create a bug with high priority

Update the summary of a recent issue to 'Updated summary'

Change the priority of a recent issue to high

Add a comment to a recent issue saying 'Please investigate'

Update my most recent comment

Delete a test issue

Remove my most recent comment

Transition issue_key to In Progress

Move issue_key to Done

What transitions are available for issue_key?

Log 2 hours of work on issue_key

Log 30 minutes on issue_key with a comment about what I did

Link issue_key_1 as blocking issue_key_2

Create a 'relates to' link between issue_key_1 and issue_key_2

What issues are assigned to team_member this week?

Find all high priority bugs in our current sprint

Show me overdue issues across all projects

What projects have the most issues?

Search for users named user_name

Explore

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Common questions

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No. One Jira authorization powers both the scheduled syncs that land data in your destination and the entity actions your agents call at runtime.

No. Entity actions read and write through the Jira API as they are called, so they work immediately. Context store search is the exception: it queries data Airbyte has already synced, which is what lets it filter and sort without spending API rate limits.

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

Jira's API provides access to a wide range of data related to project management and issue tracking. The following are the categories of data that can be accessed through Jira's API:

1. Issues: This includes all the information related to the issues such as issue type, status, priority, description, comments, attachments, and more.

2. Projects: This includes information about the projects such as project name, description, project lead, and more.

3. Users: This includes information about the users such as user name, email address, and more.

4. Workflows: This includes information about the workflows such as workflow name, workflow steps, and more.

5. Custom fields: This includes information about the custom fields such as custom field name, type, and more.

6. Dashboards: This includes information about the dashboards such as dashboard name, description, and more.

7. Reports: This includes information about the reports such as report name, description, and more.

8. Agile boards: This includes information about the agile boards such as board name, board type, and more.

Overall, Jira's API provides access to a vast amount of data that can be used to improve project management and issue tracking.

1. First, navigate to the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.

2. Click on the "Add Source" button in the top right corner of the screen.

3. Select "Jira" from the list of available sources.

4. Enter a name for your Jira source connector and click "Next".

5. Enter your Jira credentials, including the Jira URL, email address, and API token.

6. Test the connection to ensure that the credentials are correct and the connection is successful.

7. Select the Jira projects and issue types that you want to replicate in Airbyte.

8. Choose the replication frequency and any other settings that you want to apply to your Jira source connector.

9. Click "Create Source" to save your Jira source connector and begin replicating data from Jira to Airbyte.

It is important to note that the specific steps for connecting your Jira source connector may vary depending on your specific use case and the version of Jira that you are using. For more detailed instructions and troubleshooting tips, refer to the Airbyte documentation or consult with a Jira expert.

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Start moving Jira data today

Free for 14 days on Airbyte Cloud. One connection powers your scheduled syncs and your live Jira actions.

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