Jira Azure DevOps Integration
Connect Jira and Azure DevOps using a reliable, flexible integration solution. Improve the productivity of your cross-team and cross-company collaborations.
Automate data transfer workflows and get rid of silos with a bidirectional Jira Azure DevOps integration tool.

sync issue types, labels, priority, status...
sync any custom fields, attachments...
sync comments, worklogs, history...
Sync type, title, creator...
sync status, description, priority...
sync attachments, custom fields...
sync comments...

4.3/5
Highest Rated Integration App on the Atlassian Marketplace




Seamless Azure DevOps Jira Sync For Smooth Collaboration
Automate your integration process between Jira and Azure DevOps to improve productivity.
Increase transparency by eliminating information silos between internal and external teams.
Automatic triggers to streamline synchronization
Real-time status updates on work items
Reliable one and two-way syncs from either side of the connection
Top-notch reporting for authorized stakeholders
Automatic restarts after downtimes
Unlimited sync capacity for Jira tasks, sprints, etc.
Get Anything Synced Between Azure DevOps and Jira
Use one or two-way mappings to configure fields to precision. Decide what gets synced and what doesn’t. Your sync, your rules.

Azure DevOps
Work Items
+20 fields are supported, including:
- Custom fields
- Attachment
- Comment
- Title
- Description
- Tags
- Priority
- State
- Created by

Jira
Jira Software (Cloud and Data Center)
Jira Service Management
Jira Product Discovery
Work Items (Issues)
(Bugs, Tasks, Stories…)
+40 fields are supported, including:
- Custom fields
- Summary
- Status
- Description
- Key
- Comment
- Attachment
- Priority
- Third-party plugin fields (e.g Insights)
Sprints
All fields are supported, incuding:
- Name
- State
- Start date
- End date
- Complete goal
- Origin board ID
- Goal
Check the full list of supported fields for Jira and for Azure DevOps

Exalate is a really good solution and the product impressed me because I had the fine-grained ability to manipulate directions, nuance field behaviors, programmatically do things… The more I got into it, the more I could do.
Carlos Almeida | VP of Engineering

Exalate works well for us. It's very much a set-and-forget solution. We get it going and it just looks after itself.
Kyle Taylor | Operations and Analytics Specialist

I was positively surprised by how Exalate satisfied our synchronization needs. We managed to reduce the monthly costs of growth's Service Desk by around 95%.
Piotr Radtke | Senior Project Manager

For us who implement and manage the connection, flexibility is the most impressive feature as we can do almost anything we want with the sync. I can say I haven't seen any other apps as flexible as Exalate.
Daniel Miks | Atlassian Solution Expert

Without Exalate, we would have had to add each developer to Salesforce to be able to track that information, which would have been a huge cost on our side.
Adrian Salaza | QA Engineer
Exalate stood out as the ideal solution due to its proven track record, reliability, and strong customer feedback, giving us confidence that we could execute the migration successfully and with minimal risk.
Thiyagarajan Anandan | Engineering Manager
Get the Most Out of Your Integration
Sync in Real-Time
Two-way, real-time sync between platforms. Updates flow automatically. No manual exports, no delays.

Connect Any Number of Instances
Connect multiple projects, instances, and platforms. Use different rules for each connection.

Know What Failed and Why
Get AI-powered recommendations for resolving the issue, including possible fixes and next steps.

AI Assisted SetUp
Describe your integration goal. Aida reviews your sync rules and connector type, then suggests script changes

Only Sync What Matches
Set various conditions for automatic synchronization.


Sync Visibility, Right Where You Work
Check the real-time status of your active syncs, spot failures, and trigger a manual push. All from a browser extension, without opening the Exalate console.


We can now handle around 500 customer incidents per week, thanks to Exalate, which is a very good result regarding the number of products we’re dealing with. It synchronizes 45x faster than our previous solution.
Christof Cuyper
“
We can now handle around 500 customer incidents per week, thanks to Exalate, which is a very good result regarding the number of products we’re dealing with. It synchronizes 45x faster than our previous solution.
Christof Cuyper |

Simple or Advanced, We Got you Covered
Work with simple integration templates. Or, completely customize your sync. Some common use cases:
Decide What Crosses Between Jira and Azure DevOps
Link new and existing work items with one-way or two-way syncs, then choose the fields that travel. Comments, descriptions, attachments, statuses, priorities, urgency, work logs, and custom fields all qualify, along with Azure DevOps fields like area path, iteration path, severity, and acceptance criteria. Custom triggers decide which work items sync and when, so nothing moves until it meets your conditions.
Sync Inline Images, Not Just Their Links
Screenshots pasted into descriptions or comments come across as images on the other side. Transformers handle the switch between Jira wiki markup and Azure DevOps HTML, and the image itself syncs as an attachment, so it still renders even when the viewer has no access to the original Azure DevOps blob.
In practice:

...Or simply write a few lines of code
import com.atlassian.jira.component.ComponentAccessor
class WikiToHtml {
static String transform(String wikiFormat) {
if (!wikiFormat) {
return null
}
. . .
def fixImage = wikiFormat?.replaceAll(/\!(\S+)\|\S+\!/, ‘<!– inline image filename=#$1# –>’)
fixImage = fixImage.replaceAll(/\!\^(\S+)\|\S+\!/, ‘<!– inline image filename=#$1# –>’)
fixImage = fixImage.replaceAll(/\!\^(\S+)\!/, ‘<!– inline image filename=#$1# –>’)
fixImage = fixImage.replaceAll(/\!(\S+)\!/, ‘<!– inline image filename=#$1# –>’)
. . .
}
replica.description = WikiToHtml.transform(issue.description)
replica.labels = issue.labels
replica.comments = issue.comments.collect {
comment ->
comment.body = WikiToHtml.transform (comment.body)
comment
}
Replicate Jira Work Item Hierarchy
Map features from Azure DevOps to a Jira epic, or send Jira epics as features with their stories attached. Parent-child links survive the trip in both directions, so nobody rebuilds the structure by hand.
In practice:

...Or simply write a few lines of code
if(firstSync){
workItem.projectKey = “Majids Development”
def typeMap = [
“Epic” : “Feature”,
“Story” : “Task”
]
workItem.typeName = nodeHelper.getIssueType(typeMap[replica.type?.name],workItem.projectKey)?.name ?: “Task”
workItem.summary = replica.summary
if(replica.issueType.name==”Epic”)
workItem.parentId = “9785”
store(issue)
}
. . .
Map Statuses Between Azure DevOps and Jira
Your Jira statuses and Azure DevOps states rarely match one-to-one. A status mapping translates them in both directions, so "In Progress" on one side shows up as the right state on the other, and both teams see the same progress in real time.
Keep Epics, User Stories, and Sprints Aligned
Share epics, user stories, and sprint details between both platforms so agile teams plan against the same timeline. Sprint names and start and end dates carry across, and Azure DevOps iteration paths can place each Jira work item in the right sprint.
Route Service Desk Tickets to the Right Azure DevOps Board
Run your service desk in Jira Service Management and send each ticket to the Azure DevOps board that owns it, based on request type, component, or any other field. Developer updates come back to the ticket so agents can keep clients informed, and SLA tracking stays in Jira Service Management where your reporting already lives.
Hand Off Jira Requests to Developers in Azure DevOps
User requests and incidents arrive in Jira, but the fix happens in Azure DevOps. Instead of opening a new Azure DevOps work item and copying every detail across, the sync creates it for you as a bug, feature, or user story.
Comments and updates keep flowing both ways afterward, so the Jira ticket and its Azure DevOps twin never drift apart.
Keep Bugs, Features, and User Stories in Lockstep
A customer-facing team in Jira and a development team in Azure DevOps share the same bugs, features, and user stories. Developers update work items from Azure DevOps boards or Visual Studio, and the change appears in Jira without anyone copying a status by hand.
Comments and updates keep flowing both ways afterward, so the Jira ticket and its Azure DevOps twin never drift apart.
Turn Partner Follow-ups Into Comments Instead of New Tickets
When a large vendor raises work in Azure DevOps, and your engineers work in Jira Service Management, email handoffs create duplicates, and nobody on their side sees your replies. Syncing the two keeps one ticket per issue: their follow-up questions arrive as comments on the existing Jira ticket, and your answers land in the Azure DevOps discussion.
Connect Every Client's Jira to Your Azure DevOps
When a large vendor raises work in Azure DevOps, and your engineers work in Jira Service Management, email handoffs create duplicates, and nobody on their side sees your replies. Syncing the two keeps one ticket per issue: their follow-up questions arrive as comments on the existing Jira ticket, and your answers land in the Azure DevOps discussion.
Track Security Vulnerabilities Across Both Tools
Your security team logs vulnerabilities in Jira, and remediation happens in Azure DevOps. Create the Azure DevOps work items each fix needs from the Jira vulnerability, then keep work type, priority, status, assignee, and reporter in sync both ways, so nobody updates the same record twice.
Route Jira Work Across Multiple Azure DevOps Projects
Send work items from several Jira projects into one Azure DevOps project, or fan a single Azure DevOps project out to multiple Jira projects. Area path, tags, or work item type decide where each one lands, and project-specific details like titles, statuses, start dates, and sprints stay intact.
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FAQ
Answers to the most frequent questions.
Didn't find what you were looking for? Ask Aida
Exalate is a bidirectional integration platform that synchronizes Jira issues (now work items) with Azure DevOps work items in real time. Unlike the native Azure DevOps for Jira app, which only shows development activity, Exalate provides true two-way sync of work items, custom fields, comments, and attachments. Both sides maintain independent control over sync rules, making it ideal for cross-company collaborations where each party needs autonomy over their data.
Basic integrations using default sync scripts can take a few hours. For complex setups involving area path mappings, iteration paths, hierarchy preservation (epics to features to stories), or cross-company connections, plan for a few hours. For deeper integrations consider 1-2 weeks.
Aida can generate sync scripts from plain-language prompts, significantly reducing configuration time.
On Azure DevOps, sync work item types (bugs, tasks, user stories, features, epics), title, description, priority, state, comments, attachments, custom fields, area path, iteration path, and tags. On Jira, sync summaries, descriptions, comments, attachments, assignees, reporters, labels, priority, due dates, work logs, custom fields, components, issue links, agile boards, versions, and sprints. Use scripts to sync virtually any field combination, including third-party plugin fields.
Yes, Exalate supports syncing Azure DevOps area paths and iteration paths. Since Jira doesn’t have direct equivalents, these values are mapped to custom text fields in Jira work items. Use Groovy scripts to extract the path data from Azure DevOps work items and store them in designated Jira custom fields. This gives Jira users visibility into Azure DevOps team structure and sprint assignments without manual data entry.
Yes, Exalate can sync sprint information between Jira and Azure DevOps. Azure DevOps iteration paths map to Jira sprints through custom scripting. When a sprint is created in Azure DevOps, it can automatically replicate on the Jira side with the same name, start date, and end date. Work items created in Jira can be channeled to the correct sprint using the iteration path value from Azure DevOps.
Yes, Exalate preserves parent-child relationships between Jira and Azure DevOps. Map Jira epics to Azure DevOps features, Jira stories to user stories, and Jira sub-tasks to Azure DevOps tasks. The hierarchy syncs bidirectionally, meaning when you create a story under an epic in Jira, the corresponding user story links to the correct feature in Azure DevOps. Work item links and relations are maintained automatically.
Exalate uses outcome-based pricing where you are charged only for active items in sync, not the number of users. Each integration requires its own plan, and you can mix plan types based on complexity. Estimate the cost for your specific use case using the pricing calculator, or go to the pricing page for detailed plan comparisons.
Yes, Exalate provides real-time bidirectional synchronization. When a work item updates in Azure DevOps or Jira, the corresponding entity updates within seconds. This includes status changes, priority updates, new comments, and attachment additions. The sync queue provides complete visibility into processing status.
Yes, Exalate connects multiple Jira and Azure DevOps instances in various configurations. Connect multiple Azure DevOps organizations to a single Jira instance, or link several Jira projects to one Azure DevOps organization. Each connection has independent sync rules, allowing different field mappings for different teams or projects. This supports enterprise scenarios with regional instances or MSPs managing multiple client environments.
The official Azure DevOps for Jira app provides one-way visibility: linking commits, branches, and pull requests to Jira work when you include work item keys in commit messages. It doesn’t sync work items bidirectionally. Exalate provides true two-way work item synchronization, custom field mapping, and independent control over sync rules on each side. For teams needing ongoing bidirectional collaboration (not just DevOps visibility), Exalate delivers capabilities the native app cannot.
Both tools provide bidirectional sync between Jira and Azure DevOps. Key differences: Exalate uses Groovy scripting for unlimited customization, while TFS4JIRA uses configuration profiles. Exalate connects to ServiceNow, Salesforce, Zendesk, and GitHub beyond just Jira/Azure DevOps.
Common use cases include: development handoffs (Jira backlog items automatically create Azure DevOps work items for developers), QA collaboration (testers in Azure DevOps sync bug reports to Jira for product managers), vendor collaboration (external developers work in Azure DevOps while your team tracks progress in Jira), and migration support (run both systems in parallel during platform transitions). Multi-instance setups support enterprises with distributed teams.
Jira uses Wiki markup while Azure DevOps uses HTML formatting. Exalate automatically converts between formats using built-in transformers. When syncing descriptions or comments, rich text formatting (bold, italics, code blocks), inline images, tables, and links convert correctly between platforms. Transformers support HTML to Wiki, Wiki to HTML, and Markdown to Wiki conversions. This ensures information displays correctly regardless of which platform created it.
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