Project Management

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.

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Migrating to Jira? Jump to sources →

Jira logo

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

Deeply customizable workflows and status schemes with no hard limits on workflow complexity or number of custom statuses.Strong agile ceremony support: sprint planning, backlog grooming, velocity tracking, and burndown charts for Scrum teams.Industry-standard developer tool with native Git integration linking commits, pull requests, and deployments to issues.Large Atlassian Marketplace with thousands of plugins extending time tracking, portfolio management, and reporting capabilities.Free tier available for up to 10 users with unlimited issues, enabling evaluation before committing to a paid plan.

Weaknesses

Excessive configurability creates a steep learning curve; cross-team consistency is hard to maintain without strict governance.Performance degrades with large backlogs, complex custom fields, and heavily nested issue hierarchies.Reporting requires additional configuration or paid plugins; out-of-the-box analytics are limited for business users.Jira lacks native sprint management, requiring Jira Software for true agile team features.Teams outside engineering resist adoption due to UI complexity, leaving the all-in-one promise unfulfilled for cross-functional organizations.

Where it works

Engineering teams at mid-to-large companies running Scrum or Kanban sprints who need native Git integration linking commits and pull requests to issues for traceable release management.Organizations with dedicated Jira administrators who can govern complex workflow configurations across multiple projects without inconsistent usage across teams.Companies already invested in the Atlassian ecosystem (Confluence, Bitbucket, Bamboo) that need a unified tool chain for development and business workflow coordination.Business teams requiring formal multi-step approval workflows with validators, conditional transitions, and audit trails that cannot be modeled in simpler tools.Teams that need a free evaluation tier (up to 10 users) to validate project management capabilities before committing budget to a paid plan.

Where it struggles

Small teams (fewer than 10 users) without dedicated administrators, where Jira's configuration complexity creates friction outweighing the benefits.Large organizations with massive backlogs (tens of thousands of issues) where performance degrades noticeably and interfaces become slow and unresponsive.Cross-functional environments where non-technical teams (marketing, operations, legal, finance) are expected to use the same tool as engineering, because those teams consistently resist adoption.Organizations with strict compliance requirements around audit trails, because transition history export requires a paid Marketplace plugin on Data Center.Teams needing self-hosted deployments with full data residency control, as Cloud has API rate limits and Server/Data Center have end-of-life timelines.

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

Up to 10 usersUnlimited issuesAgile boards (Kanban and Scrum)Backlog management1 GB file storageCommunity support

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Pricing is informational. FlitStack AI does not bill on Jira's schedule — see our quote-based pricing →

What gets migrated

Jira object support

Object-by-object support for Jira migrations. Per-pair details surface during scoping.

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.

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

Coming to Jira?

Migrating in from another Project Management

199 sources can migrate into Jira.

.STUDIO logo
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.STUDIO to Jira Migration
]project-open[ logo
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]project-open[ to Jira Migration
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Cobalt Project Manager logo
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Deltek Project Portfolio Management logo
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Kantata Professional Services Cloud (formerly Mavenlink + Kimble) logo
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Odoo Project Management logo
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OpenText Project and Portfolio Management (PPM) logo
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Oracle Project Management Cloud logo
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TeamBoard - Work Management & Project Management for Salesforce logo
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Time Champ logo
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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.

Can't find your answer?

Walk through your Jira migration with a real engineer — 30 minutes, free, written quote within 24 hours.

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Most Jira migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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