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Move your Azure Boards work items, full revision history, comments, attachments, inline images, sprints, and relationships from Azure DevOps to Jira Cloud. Both systems stay alive until you decide to cut over, so no team has to stop working.
Successful migrations
Work items migrated
Downtime
Tool supported
Azure DevOps stacks four levels: Epic, Feature, Story, and Task. Jira has three, so the Feature level has to be remapped or it collapses into another type.
Azure DevOps uses work items and process templates; Jira uses issues and issue types. Each type has to be mapped to the right Jira equivalent.
States such as In Review, QA, or Blocked have no default Jira match, so each one has to be mapped or workflow history arrives wrong.
These Azure DevOps classification nodes do not exist in Jira. They have to be mapped to components, labels, sprints, or fix versions.
Field values move, but comments, attachments, inline images, revision history, and links do not. Those take more than an export.
Azure DevOps uses Microsoft Entra ID and Jira uses Atlassian accounts. Without mapping, work lands on the wrong person or a ghost user.
Delta sync captures new issues, changes, and comments in the background, and reverse sync keeps both systems aligned until cutover. No freeze window.
Comments with author and timestamp, attachments, inline images, revision history, links, sprints, and custom fields all migrate, not a flattened snapshot.
The Feature level is placed where you choose, so your four-level structure keeps its shape inside Jira's model.
Map work item types, fields, states, area and iteration paths, and user identities through a visual, no-code interface, with no scripts or developer dependency.
Run OpsHub on-premises, in your cloud, or in OpsHub's secure cloud, inside your firewall for data residency requirements.
Reliable migration, delta sync, and per-record reconciliation across projects and data types confirm each item arrived, at any scale.
An artifact-level breakdown, so nothing surprises you after cutover.
| In Azure DevOps | In Jira | How OpsHub handles it |
|---|---|---|
| Work item types: Epic, Feature, User Story or PBI, Task, Bug | Issue types: Epic, Story, Task, Bug, Sub-task | Feature level placed where you decide |
| Custom fields | Custom fields | Mapped field by field; no target means consolidate, not lose |
| Workflow states and transitions | Statuses and workflow | Custom states mapped without code |
| Area Paths | Components or labels | Classification node mapped to your scheme |
| Iteration Paths | Sprints or fix versions | Sprint and board history preserved |
| Parent-child and related links | Issue links and hierarchy | Includes predecessor-successor and blocking |
| Cross-project links | Issue links | Kept across project boundaries |
| Comments | Comments | Original author and timestamp retained |
| Change history and revisions | Issue history | Carried as history, not flattened into one entry |
| Attachments and inline images | Attachments and embedded images | Large files and inline screenshots included |
| @mentions and original IDs | @mentions and stored original IDs | References stay traceable |
| Test Plans, suites, and cases | Jira test apps such as Xray or Zephyr Squad | Mapped into the Jira test structure you use |
| Boards and saved queries | Boards and filters | Board configuration and queries rebuilt and mapped |
| Sprint and iteration dates | Sprint dates | Kept so velocity history survives |
What a CSV export or a REST API script misses:
Comments and attachments do not come across, change history collapses into a single entry, links between items break, and any field without a mapping disappears with no error. That is most of what makes your Azure DevOps data worth keeping. A custom REST API script can carry more, but your team has to build and maintain the mapping, hierarchy, and identity logic, and keep it correct as both tools change.
Plan every step of your migration with precision. Download the checklist now
From first connection to cutover, each step is validated before the next begins.
OpsHub links Azure DevOps and Jira through their APIs, running outside both so neither slows down.
Set work item types, fields, states, paths, and users in a visual interface, with no scripting.
Migrate one project first, then check it against the source before going wider.
Run the full migration while delta sync captures new changes, so teams keep working in Azure DevOps.
Confirm counts, links, and history per record, then switch teams to Jira on your schedule.
The same process fits all your rollouts. Either move team by team or project by project, run a single big-bang cutover, keep both systems running in parallel with reverse sync, consolidate several Azure DevOps organizations into one Jira instance, or migrate only selected projects or work item types. The steps stay the same; only the sequencing changes.
Success stories of those who tried, experienced, and scaled growth with OpsHub
Case study Software solutions OpsHub Migrator for Microsoft Azure DevOps Skipping a Decade of Version Upgrades: Direct Migration from TFS 2013 to Azure DevOps Services
U.S. state govt. agencyCase study OpsHub × Deloitte 7 Days. Zero downtime. Jira to Azure DevOps migration for a Deloitte customer by OpsHub A US
OpsHub migrates across 70+ systems, not just Azure DevOps and Jira
The same platform moves data between Jira, Azure DevOps, Rally, OpenText ALM, IBM DOORS, ServiceNow, and more than 70 other systems.
Frequently Asked Questions
Answers to the questions teams ask most often before choosing a migration platform.
When you migrate Azure DevOps to Jira, the hierarchy is the first mismatch to resolve. Azure DevOps uses four work item levels by default: Epic, Feature, User Story or Product Backlog Item, and Task. Jira uses three: Epic, Story or Task or Bug, and Sub-task. The Feature level has no native Jira equivalent. OpsHub Migration Manager lets you decide where it goes: raise it to a Jira Epic, place it on a higher Jira hierarchy level, or preserve it as a linked issue, so the structure is mapped on purpose rather than silently flattened.
Yes. OpsHub Migration Manager migrates comments with their original author and timestamp, and carries Azure DevOps work item revision history across as Jira issue history rather than collapsing it into a single entry. Attachments, inline images, and @mentions move with the item.
The timeline depends on the number of projects, the volume of work items, and how much field and workflow mapping is involved, not on item count alone. A pilot on a single project usually completes in about a day. Because teams keep working in Azure DevOps during the migration and delta sync captures changes, the volume does not force a work stoppage. Book a slot and we will scope a realistic timeline for your environment.
OpsHub Migration Manager runs a pilot first, so exposure is limited before any full migration. If a run needs to be undone, the partial data in Jira can be cleared without corrupting the target instance, and full validation happens before cutover. Your production data stays in Azure DevOps throughout, so it is never at risk during the process.
Yes. OpsHub Migration Manager connects to Azure DevOps Services in the cloud and to on-premise Azure DevOps Server, including earlier TFS versions, and moves their work items, history, and links into Jira. Because OpsHub can run on-premise, data from a self-hosted server can stay inside your network during the move.
Yes. OpsHub Migration Manager offers an on-premise deployment option, so data never leaves your network. Every operation is recorded in a full audit trail, and the migration log can be exported as compliance evidence for regulated sectors such as defense, aerospace, healthcare, and finance.
No. The Jira Cloud Migration Assistant only moves data between Jira instances, from Jira Server or Data Center to Jira Cloud. It cannot read Azure DevOps, so it does not apply to this direction. There is no native Microsoft or Atlassian tool that imports Azure DevOps work items into Jira, which is why a dedicated migration tool such as OpsHub Migration Manager is used.
OpsHub has done this across 70+ systems for over two decades, with no scripting and no forced downtime.
Trusted by 500+ teams across finance, defense, healthcare, and technology.
