Migrate your Jira data
The work tracker built for serious teams. Cross-functional workflows, custom fields, and the same enterprise-grade reliability behind Atlassian's developer tools.
Migrating to Jira? Jump to sources →
In its favor
Why people choose Jira
The signal that keeps Jira on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Industry-standard tool with deep Git integration and sprint reporting that engineering teams already know, reducing onboarding friction for new hires.
Highly customizable workflows and status schemes let business teams model complex approval chains without writing code.
Strong ecosystem of Atlassian Marketplace apps means specialized capabilities like time tracking or portfolio management are one install away.
Free tier with up to 10 users and unlimited issues gives small teams a no-cost entry point to validate the platform before committing budget.
Visibility features — boards, backlog grooming, sprint reports, and dashboards — give leadership a shared view of what is planned, in progress, blocked, and done.
Excessive configuration complexity: multiple menus, deeply nested settings, and custom workflows that become unmanageable as the backlog grows, making basic task updates cumbersome.
Performance degrades noticeably with large backlogs and complex custom fields, causing the interface to become slow and unresponsive at scale.
Reporting requires additional configuration or paid plugins; generating detailed reports demands extra effort without native out-of-the-box analytics.
Frequent bugs and integration glitches reported in reviews, with support resolution times frustrating teams managing critical project data.
Teams outside engineering (marketing, operations, legal) find Jira unintuitive and resist adoption, leaving a single-tool promise unfulfilled.
Reasons to switch
Why people leave Jira
The recurring reasons buyers give for replacing Jira. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Jira fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
Jira pricing overview
Jira uses a per-user, per-month pricing model across three paid tiers (Standard, Premium, Enterprise). The free tier covers 10 users with basic agile features. Pricing scales with seat count, and storage allowances increase at each paid tier. Enterprise requires a direct sales conversation and includes governance controls, multi-site management, and an SLA-backed uptime guarantee.
Free
Tier 1 of 4
Free
What's included
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What gets migrated
Jira object support
Object-by-object support for Jira migrations. Per-pair details surface during scoping.
Projects
Fully supportedProjects are the top-level container for all Jira work. They carry a project key (e.g., ENG, MKT), a type (business or software), and a default scheme for permissions and notifications. We migrate projects as-is and map the project key in the destination org. Schema is stable across Jira versions.
Issues
Fully supportedIssues are the primary record type in Jira. Standard fields include Summary, Description, Status, Priority, Assignee, Reporter, Labels, and Due Date. We preserve all standard fields 1:1. Custom field values are mapped individually.
Issue Types
Fully supportedJira ships with Issue Types: Task, Story, Bug, Epic (on Software plans), and sub-task variants. We map these directly and flag where the destination plan lacks a specific issue type (e.g., sub-tasks require a parent issue to exist first).
Subtasks
Mapping requiredSubtasks are a distinct issue type that must be linked to a parent issue. The parent must exist in the destination before the subtask can be created. We sequence subtask creation after parent issue creation and validate the linkage in the target.
Workflows
Mapping requiredWorkflows define Statuses and Transitions between them. Jira allows unlimited custom statuses and complex transition rules. We preserve workflow definitions but flag that unsupported validators (e.g., transition validators not supported by JCMA) are skipped during migration, which can alter permission enforcement on specific transitions.
Custom Fields
Mapping requiredJira supports an unlimited number of custom fields per project with no enforced global schema. Custom fields are stored per project context. We map each custom field by name and type, but we flag that some field types (e.g., cascading select, multi-user picker) may require reconfiguration in the destination or may lose pick-list metadata when migrated to a platform with a flat field model.
Attachments
Mapping requiredAttachments are stored at the issue level. Jira Cloud imposes attachment size limits and the Jira Cloud Migration Assistant can migrate them, but oversized or corrupted files can cause import failures. We chunk large attachment batches and flag any file that exceeds the destination platform's size limit before attempting migration.
Comments
Fully supportedComments are stored as issue children with author, timestamp, and body. Jira Cloud natively exports comments to CSV. We preserve full comment text and metadata. Where the destination platform does not support threaded comments, we flatten into sequential comments and preserve the reply chain via timestamps.
Worklogs
Mapping requiredWorklogs track time spent on issues. Jira Software includes built-in worklogging; Jira may require an add-on. We preserve worklog entries and map them to the destination's time-tracking schema, flagging whether the destination has native time-tracking or requires a plugin.
Sprints
Mapping requiredSprints are time-boxed collections of issues in Jira Software. Jira does not have native sprint management — it is a project type distinction. When migrating from Jira Software to Jira, we convert active sprint assignments into labels or a custom field so the timing context is preserved even without a native Sprint object.
Boards
Mapping requiredBoards (Kanban and Scrum) are a visualization layer on top of Projects and Filters. They are not independent data objects — they reference a saved filter. We preserve the board configuration and the underlying filter JQL, but the board must be re-created in the destination if the Jira project key changes.
Components
Fully supportedComponents are optional groupings within a Project, used to assign default Assignees or Component Leads. We preserve Component names and assignments. Components do not carry their own issue data; they are a label on the issue.
Versions
Fully supportedVersions represent releases or milestones within a Project (e.g., v2.1, Q3 Sprint). Issues can be linked to zero or more Versions. We preserve Version names, release dates, and released/archived status.
Labels
Fully supportedLabels are free-text tags applied to Issues. Jira allows unlimited labels per issue. We migrate labels as-is. Labels are case-sensitive in Jira, so we preserve the exact casing as stored in the source.
Linked Issues
Mapping requiredJira supports multiple link types between issues (Blocks, Is Blocked by, Relates to, Duplicate, etc.). Linked issues must exist in the destination for the link to be functional. We migrate link types and target issue keys, but we flag any link where the target issue is not included in the migration scope as a dangling reference that must be resolved manually.
Users and Groups
Mapping requiredUser accounts, group memberships, and Project Role assignments are migrated via Jira's user management export. We map users to their destination accounts and flag where a user in the source has no match in the destination, requiring either account creation or reassignment before migration.
| Object | Support | Notes |
|---|---|---|
| Projects | Fully supported | Projects are the top-level container for all Jira work. They carry a project key (e.g., ENG, MKT), a type (business or software), and a default scheme for permissions and notifications. We migrate projects as-is and map the project key in the destination org. Schema is stable across Jira versions. |
| Issues | Fully supported | Issues are the primary record type in Jira. Standard fields include Summary, Description, Status, Priority, Assignee, Reporter, Labels, and Due Date. We preserve all standard fields 1:1. Custom field values are mapped individually. |
| Issue Types | Fully supported | Jira ships with Issue Types: Task, Story, Bug, Epic (on Software plans), and sub-task variants. We map these directly and flag where the destination plan lacks a specific issue type (e.g., sub-tasks require a parent issue to exist first). |
| Subtasks | Mapping required | Subtasks are a distinct issue type that must be linked to a parent issue. The parent must exist in the destination before the subtask can be created. We sequence subtask creation after parent issue creation and validate the linkage in the target. |
| Workflows | Mapping required | Workflows define Statuses and Transitions between them. Jira allows unlimited custom statuses and complex transition rules. We preserve workflow definitions but flag that unsupported validators (e.g., transition validators not supported by JCMA) are skipped during migration, which can alter permission enforcement on specific transitions. |
| Custom Fields | Mapping required | Jira supports an unlimited number of custom fields per project with no enforced global schema. Custom fields are stored per project context. We map each custom field by name and type, but we flag that some field types (e.g., cascading select, multi-user picker) may require reconfiguration in the destination or may lose pick-list metadata when migrated to a platform with a flat field model. |
| Attachments | Mapping required | Attachments are stored at the issue level. Jira Cloud imposes attachment size limits and the Jira Cloud Migration Assistant can migrate them, but oversized or corrupted files can cause import failures. We chunk large attachment batches and flag any file that exceeds the destination platform's size limit before attempting migration. |
| Comments | Fully supported | Comments are stored as issue children with author, timestamp, and body. Jira Cloud natively exports comments to CSV. We preserve full comment text and metadata. Where the destination platform does not support threaded comments, we flatten into sequential comments and preserve the reply chain via timestamps. |
| Worklogs | Mapping required | Worklogs track time spent on issues. Jira Software includes built-in worklogging; Jira may require an add-on. We preserve worklog entries and map them to the destination's time-tracking schema, flagging whether the destination has native time-tracking or requires a plugin. |
| Sprints | Mapping required | Sprints are time-boxed collections of issues in Jira Software. Jira does not have native sprint management — it is a project type distinction. When migrating from Jira Software to Jira, we convert active sprint assignments into labels or a custom field so the timing context is preserved even without a native Sprint object. |
| Boards | Mapping required | Boards (Kanban and Scrum) are a visualization layer on top of Projects and Filters. They are not independent data objects — they reference a saved filter. We preserve the board configuration and the underlying filter JQL, but the board must be re-created in the destination if the Jira project key changes. |
| Components | Fully supported | Components are optional groupings within a Project, used to assign default Assignees or Component Leads. We preserve Component names and assignments. Components do not carry their own issue data; they are a label on the issue. |
| Versions | Fully supported | Versions represent releases or milestones within a Project (e.g., v2.1, Q3 Sprint). Issues can be linked to zero or more Versions. We preserve Version names, release dates, and released/archived status. |
| Labels | Fully supported | Labels are free-text tags applied to Issues. Jira allows unlimited labels per issue. We migrate labels as-is. Labels are case-sensitive in Jira, so we preserve the exact casing as stored in the source. |
| Linked Issues | Mapping required | Jira supports multiple link types between issues (Blocks, Is Blocked by, Relates to, Duplicate, etc.). Linked issues must exist in the destination for the link to be functional. We migrate link types and target issue keys, but we flag any link where the target issue is not included in the migration scope as a dangling reference that must be resolved manually. |
| Users and Groups | Mapping required | User accounts, group memberships, and Project Role assignments are migrated via Jira's user management export. We map users to their destination accounts and flag where a user in the source has no match in the destination, requiring either account creation or reassignment before migration. |
Gotchas
What to watch for in Jira migrations
Issues we've hit on past Jira migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Unsupported workflow validators silently skipped during migration
Custom fields converted to flat text labels when migrating to non-Jira platforms
Historical status-change timestamps lost when exporting without a Marketplace plugin
Attachment import failures from oversized files and JQL reference corruption
Points-based API rate limits enforced on Jira Cloud apps from March 2026
| Severity | Issue |
|---|---|
| High | Unsupported workflow validators silently skipped during migration |
| High | Custom fields converted to flat text labels when migrating to non-Jira platforms |
| Medium | Historical status-change timestamps lost when exporting without a Marketplace plugin |
| Medium | Attachment import failures from oversized files and JQL reference corruption |
| Medium | Points-based API rate limits enforced on Jira Cloud apps from March 2026 |
Leaving Jira?
Where Jira customers move next
4 destinations Jira can migrate to.
Coming to Jira?
Migrating in from another Project Management
199 sources can migrate into Jira.
How a Jira migration works
Four steps, Jira-specific
Connect
OAuth 2.0 (3LO), API tokens, Forge, Connect into Jira. Scopes limited to read-only on the data we move.
Map
We translate Jira-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Jira quirks before production.
Migrate
Full migration with Jira rate-limit handling. Rollback available throughout.
FAQ
Jira migration FAQ
Answers to the questions buyers ask most during Jira migration scoping. Not seeing yours? Book a call.
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