Jira to Plane migration starts with the edition you run
Most teams moving from Jira to a self-hosted Plane workspace should plan the migration with a partner or a small internal project team, but the first decision is not the import itself. It is which Plane edition you run, because that decides whether the Jira importer is available at all. Plane's Jira importer is available on Plane Cloud and on all plans of the self-hosted Commercial Edition. It is not part of the Community Edition's feature set, so a team running Community must switch to Commercial before it can use the importer. Confirm this against Plane's current editions documentation before you commit to a timeline, because edition availability is the first gate in the project.
The importer covers both Jira Cloud and Jira Server or Jira Data Center, so the source type matters less than you might expect. What matters is the access you have on the Jira side. Your import will depend on credentials and permissions in the source instance, and the people who can export or authorize that access may sit outside the project team. Identify those people early, list which Jira projects are in scope, and confirm which Jira instance and deployment type each project lives on. Mixed estates, where some projects sit in Jira Cloud and others in a Data Center instance, need a separate check for each source.
Switching editions is not a neutral step. Moving a self-hosted Community install to Commercial changes the installed codebase and its release cycle, and it introduces a license key and seat accounting based on users with paid roles. Ask your Plane contact or review Plane's documentation for the exact switch procedure, the backups you must take first, and whether any data or configuration needs to be re-entered afterward. Treat the edition switch as a change to plan and test on a non-production copy before it reaches the workspace your teams use every day.
If you are also evaluating Linear or Asana, Plane documents importers for those tools as well, available on Plane Cloud and the Commercial Edition. This page focuses on Jira because it is the most common starting point for teams with long project histories. Whatever the source, the edition check is the same, so settle it first. Once you know which edition you will run and which Jira deployment you are importing from, you can scope the rest of the migration with accurate assumptions instead of discovering a blocker during cutover.
What a Jira to Plane migration includes and delivers
A Jira to Plane migration moves work items, workflow states, people and history from one tracker to another, and most of the effort sits in the decisions made before any data moves. Each card below names one piece of that work and the document or check it produces, so the migration can be reviewed, tested and signed off step by step.
Jira instance and project assessment
The first deliverable is an inventory of the Jira instance: which projects are in scope, how many work items, attachments and sprints each holds, and which custom fields and workflows carry real meaning. This assessment shows whether your Jira is Cloud, Server or Data Center, because Plane's Jira importer supports all three. Check it early, since unusual field types or large attachment volumes change the test import plan.
Edition and plan confirmation
Plane's Jira importer is available on Plane Cloud and on all plans of the self-hosted Commercial Edition, so the target installation must run that edition before import begins. Confirm this in writing, along with the seat count and which users hold paid roles, because seats are counted by users with paid roles. A Community install must switch to the Commercial Edition first, which is a step the migration plan should schedule explicitly.
Target workspace setup
The target workspace is configured before any test import runs, so that projects, cycles, modules and states exist in the form the importer expects. The deliverable is a workspace configuration record covering projects, team membership and the license state. Confirm that the self-hosted hosting method, database, object storage and backups are ready, because attachments and comments depend on storage being in place before data arrives.
Status and user mapping document
The mapping document records how each Jira status and priority maps to a Plane state and priority, and how each Jira user maps to a Plane account. Gaps here cause the most rework, so every custom status should have a named destination and every departed or external user should have a decision. Review the document with the project leads who own each workflow before the test import, not after.
Test import report
A test import runs against a copy of selected projects in the target workspace, and the report records what came across: work items, comments, attachments, sprints converted to cycles, components converted to modules, relations and worklogs. The report also lists items that did not import cleanly or that needed manual correction. Use it to decide whether the mapping document needs changes and whether a full run is ready.
Reconciliation and cutover runbook
The reconciliation checklist compares item counts, attachment counts, comment totals and sprint assignments between Jira and Plane for each project after the full import. The cutover runbook sets the order of steps, who freezes Jira writes, who runs the final import, who signs off the counts and how the team falls back if a count fails. Record each sign-off in the runbook so the audit trail for the migration is complete.
How the Jira importer maps sprints, components and worklogs
The Plane Jira importer brings over work items, statuses, priorities, users, comments, attachments, sprints as cycles, components as modules, story points, relations and worklogs. Most of these carry across without a decision from you. Sprints, components, statuses, users and worklogs are different: each one maps to a Plane concept that does not mean exactly the same thing, so the mapping needs to be settled before the first import run, not after the data has landed in the workspace.
Jira sprints become Plane cycles. Before importing, export the list of sprints for each project and decide which ones matter. Closed sprints from several years of work can make a long cycle history that few people use, and an issue that moved across several sprints may read differently once it sits in a single cycle structure. Ask Plane how the importer handles an issue that belongs to more than one sprint, whether sprint dates and states carry over, and whether story points are attached to the work item or to the cycle. Confirm these points in the importer documentation or in a test import, because the answer changes how your team reads velocity history.
Jira components are often used as product areas, but many teams use them as owning teams. Plane modules group work items, so a component that stood for a team will show up as a delivery grouping unless you decide otherwise. Choose which components become modules, which become labels, and which need a different home, and document the rule so reporting stays consistent. Statuses need the same care. Jira workflows are defined per project and often contain statuses that no Plane state matches exactly. Build a table that maps each Jira status to a Plane state, then confirm with Plane how unmatched status names are handled.
Users are the most common source of broken imports. Assignees, reporters and comment authors must match accounts in the destination workspace, so confirm how the importer matches people before you run it, and whether it matches by email address or another field. Deactivated Jira accounts, shared service accounts and former contractors need a plan: either invite them, map them to an owner, or accept that their history will show an unassigned or placeholder author. Worklogs also need a check. Confirm how time entries appear after import, whether as structured records or as text, and whether they can be reported on in Plane the way they were reported in Jira.
Test the mapping on a copy of one representative project before you migrate the full estate. Compare issue counts, status distribution, cycle membership, module assignments and a sample of issues with long comment threads, attachments and relations. Record every mismatch and decide whether to fix the mapping, clean the Jira data or accept the difference. Jira Cloud and Jira Server or Data Center can behave differently, so confirm the behavior for your Jira version. Any field or edge case that the importer documentation does not list should go to Plane for confirmation, and the result of each test should be written down so the cutover team can rely on it.
What drives Jira to Plane migration cost and duration
This table lists the factors that change how much work a Jira to Plane migration takes and what it costs, with a note on how to reduce each one. Use it to check your own Jira estate against the drivers before you request a quote. The quote follows from written scope, so the more of these facts you can state up front, the more precise that scope will be.
| Driver | Why it matters | How to keep it down |
|---|---|---|
| Number of projects and work items | Every project and work item is mapped, validated and imported, so volume drives run time and the amount of post-import checking. | Archive or close stale projects before export, and agree which history is worth moving. |
| Attachment volume | Attachments are carried over with work items, so large file stores extend transfer time and storage needs on your side. | Decide which attachments must move, and link or archive the rest outside Plane. |
| Jira Cloud versus Server or Data Center | The Plane Jira importer supports both, but export paths, access and data volume differ, which changes preparation effort. | Confirm your deployment type early and collect export access and credentials before scoping. |
| Custom workflows and statuses | Jira statuses and priorities must be mapped to Plane states; custom workflows with many statuses need explicit mapping decisions. | Simplify or consolidate statuses before migration and document the mapping for each project. |
| Users and seat counts by paid role | Users must be matched to Plane accounts, and seats are counted by users with paid roles on the Commercial Edition, which affects licensing scope. | Clean up inactive Jira users and confirm which roles need paid seats before import. |
| Number of cutover waves | Each wave repeats mapping, import, validation and user communication, so more waves add repeated effort. | Group projects into fewer waves with shared teams and a single cutover window where possible. |
| Integrations that write to Jira | Tools that create or update Jira issues must be repointed or retired, and their data flows need testing after cutover. | Inventory every integration and automation before scoping, and decide which ones move to Plane. |
| Edition and environment choices | The Jira importer requires the Commercial Edition, and Docker Compose or Kubernetes deployments change the infrastructure and testing work. | Settle the edition, deployment method and external database and storage choices before the import starts. |
Phases of a Jira to Plane migration and the output of each
This sequence moves Jira projects into a self-hosted Plane workspace in controlled passes, so each stage produces evidence before the next one starts. Each output builds on the one before it, from an inventory of what exists to a verified production workspace and a documented handover.
Discover the Jira instance and data
The migration team inventories the Jira instance, including whether it runs as Jira Cloud or Jira Server or Data Center, the projects in scope, workflows, custom fields, user accounts, attachment volume and any data that must stay out of the move. Engineers and the project leads who own each project take part. The output is a scoped inventory listing every project to migrate or retire, with named owners and known gaps. The step is done when the scope is agreed in writing and the owners confirm nothing important is missing from the list.
Prepare the target workspace on the correct edition
Plane's Jira importer runs on Plane Cloud and on the Commercial Edition of self-hosted Plane. A Community Edition install must switch to the Commercial Edition before the importer is available, so the platform team confirms the edition, the license arrangement and the seat count for users who need paid roles. The team also prepares the workspace, teams, roles and identity settings the import will land in. The output is a running Commercial Edition workspace with an access check and a written record of the edition and seat count used for testing.
Design the mapping for statuses, users, sprints and components
The team maps each Jira status to a Plane state, decides how priorities, sprints and components translate to cycles and modules, and agrees how Jira users match Plane members, including inactive or shared accounts. Story points, issue relations and worklogs also need a decision on whether they arrive intact and how people will read them after cutover. The output is a mapping document signed off by project owners, listing each rule and its exceptions. The step is complete when every in-scope status and user has a named target.
Run test imports into a non-production workspace
The team runs one or more test imports into a separate, non-production workspace using the agreed mapping. Starting with a small project that uses common features helps isolate problems, and heavier projects with long histories, comments, attachments and worklogs follow. The team records errors, skipped records and any behavior that differs from the mapping. The output is a test import log tied to a specific mapping version, plus a list of defects in either the mapping or the source data. The step is done when a full in-scope project imports without unexplained gaps.
Reconcile results and run fix cycles
The team compares source and target counts for work items, comments, attachments, cycles, modules and users, then samples individual items to check fields, links and history. Each discrepancy is traced to a mapping rule, a data quality issue in Jira, or an importer limitation to confirm with the vendor. Fixes go into the mapping or the source data, and the test import repeats until every discrepancy is explained and accepted. The output is a reconciliation report with accepted exceptions and named owners. Expect more than one cycle, since fixes often expose new issues.
Rehearse the cutover runbook
The team runs a full cutover rehearsal on the non-production workspace, using the final mapping and the same sequence planned for production. The runbook covers the freeze on Jira edits, the final import window, user communication, rollback criteria and who decides whether to proceed or stop. Each action is recorded so the team knows what production will require. The output is a tested runbook with a written rollback path and rehearsal notes. The step is done when the rehearsal ends with no open blockers and the decision owners sign off on the runbook.
Run the production import and cut over
The team freezes edits in Jira for the migrated projects, runs the production import using the rehearsed mapping, and checks the import log before opening Plane to users. Teams then switch to Plane and receive clear notice of the new location, while the source Jira projects stay read-only under the retention rules agreed earlier. The output is a production workspace and an import log that matches the rehearsal, along with a record of the freeze and switch. The step is done when production counts match the rehearsal results within the accepted exceptions.
Verify after cutover and hand over
The team repeats reconciliation on production, spot-checks active projects with their owners, confirms user access and roles, and tests that attachments open. It also confirms that backups cover the new database and object storage, and logs any issues by severity with an assigned owner. The team then hands the workspace to the operating team with the runbook, mapping, reconciliation report, admin accounts and support contacts. The output is a signed verification record and a handover package. The step is done when project owners accept the workspace and every open issue has an owner.
How the Jira to Plane move changes by source and hosting
The Jira instance you export from decides how you prepare the data before import. The Plane Jira importer supports Jira Cloud as well as Jira Server and Data Center, so the source type does not block the move, but the access method, network route and data shape still differ.
- Jira Cloud: confirm which site, projects and project keys you will import, and who holds the credentials the importer requires. Check the current Jira importer documentation for the exact access method.
- Jira Server or Data Center: confirm a network route from the importer host to the Jira instance, and that the account you use can read every project in scope.
- Both sources: map Jira statuses and priorities to Plane states and priorities before the trial import, so you can review the mapping.
- Both sources: the importer brings over work items, comments, attachments, sprints as cycles, components as modules, story points, relations and worklogs. Check which of these your projects actually use.
Run one representative project through a trial import and compare item counts, comments and attachments against Jira before you schedule the full move.
Plane Community Edition is licensed under AGPL-3.0 and matches the feature set of the Plane Cloud Free tier. The Jira importer runs on Plane Cloud and on the Commercial Edition, so a Community install must switch editions before it can import.
- Codebase change: moving to Commercial changes the codebase your instance runs, so treat the switch as an upgrade event with its own backup and rollback plan.
- License and seats: Commercial plans use a license key and count seats by users with paid roles. Confirm your seat count and role mix before you enable paid features.
- Sequencing: complete the edition switch and verify the instance before the trial import, so import problems are not mixed with switch problems.
- Records: keep a backup of the Community database and object storage, and record the current version so you can return to it if the switch fails.
- Vendor steps: Commercial and Community have separate release cycles, so ask Plane for the switch steps that match your current version.
Confirm the edition switch steps and your seat requirements in the editions documentation before you schedule the migration.
Plane documents Docker Compose for small and mid-size teams. The bundled services run on one host, so the database, object storage and import workload share that host's capacity. The Jira import steps are the same as for other deployment methods, but sizing, storage and backups need more attention on a single host.
- Edition and versions: confirm the Commercial images and Compose file match the version you are importing into.
- Host sizing: ask Plane for current resource guidance for your expected project volume, and reserve capacity for the import window.
- Backups: back up the database and object storage volumes before the trial import and again before cutover.
- Attachments: Jira attachments land in the bundled object storage, so compare its free space with the attachment volume you plan to move.
- Recovery: a Compose host runs on one machine unless you design redundancy yourself, so document how you restore the stack if the host fails during import.
Confirm host sizing and the rollback procedure with Plane and your own operations team before you start the trial import.
Plane documents Kubernetes with Helm for high availability. The chart can point PostgreSQL, Redis or Valkey, RabbitMQ and S3-compatible storage at services you already run and monitor. Plane's Kubernetes guide installs the Commercial Edition, so the importer is available on that path without a separate edition switch.
- Database: confirm the PostgreSQL version, connection limits and maintenance window, since import writes arrive in bursts.
- Cache and queue: confirm that Redis or Valkey and RabbitMQ are reachable from the pods that run the import workers.
- Object storage: S3-compatible storage such as MinIO holds attachments. Confirm bucket permissions, encryption settings and lifecycle rules before import.
- Version pinning: pin the chart and image versions you tested, because Commercial releases follow their own cycle.
- Staging: rehearse the import in a staging namespace that uses the same external services as production.
Before the production import, confirm that every external service is sized, reachable and backed up, and that the staging rehearsal produced reconciled counts.
Air-gapped installs use the separate Airgapped edition, which has its own codebase and release cycle. With no outbound route from the network, the Jira export, the data transfer and the import each need a plan of their own, and the importer path is the step to confirm with Plane first.
- Importer path: ask Plane whether the Jira importer is supported on the Airgapped edition and which steps run inside the isolated network.
- Transfer: exports leave the source network under your transfer controls and enter the isolated zone through media or a transfer device your organization approves.
- Content checks: scan transferred files and attachments under your own malware and content policy before the importer reads them.
- Artifacts: mirror the container images, chart and any dependencies into the boundary in advance, and keep the database and object storage inside it.
- Reconciliation: record which Jira fields, projects and attachments each transfer carries, so you can reconcile the imported data against the source.
Get written confirmation of the air-gapped import path from Plane, and document every transfer step, before you commit to a cutover date.
What goes wrong in a Jira to Plane cutover and how to prevent it
Most Jira to Plane problems are not technical failures of the importer. They come from data that moves but changes meaning, from assumptions made before the first test import, and from cutting over before anyone has checked the result. Each card below names one failure and a step you can apply before or during the migration.
Attachments and comments that stop at scale
Large projects with many attachments and long comment threads are where partial transfers hide. A test import on a small project can pass while a full run drops files or truncates history. Run the importer on the largest project first, then sample items with the most attachments and the longest discussions and compare them with Jira. Confirm the Commercial Edition's storage configuration can hold the total attachment volume before the production run.
User mapping that leaves work unassigned
Assignees, reporters and commenters are matched to Plane users by identity, so accounts that do not exist in Plane or use a different email address end up unassigned. Export the full Jira user list, map each account to a Plane user or a deliberate placeholder, and decide who owns items whose assignee has left the company. Check unassigned counts per project after the import, not only the total.
Workflows that collapse into fewer states
Jira workflows often have many statuses that share a category, such as several review or waiting states. When these are mapped to fewer Plane states, items that looked distinct in Jira become indistinguishable on the board and in reports. Before import, list every Jira status with its category and usage count, then agree a mapping table with the team leads who read those boards. Verify that filters and views still separate the work they need to separate.
Sprints and components that change how history reads
The importer brings sprints across as cycles and components as modules. Those objects behave differently: cycles are time-boxed containers, and modules group work by area rather than by time. Teams that read velocity or component ownership from history can misread the migrated data. Document the mapping for each board, decide whether closed sprints need to be recreated as cycles with their original dates, and tell report readers which Plane views replace their Jira dashboards.
Lost links to Jira keys and external references
Engineers, release notes and customer tickets often cite Jira keys such as a project prefix and number. If those keys are not kept in a searchable field or a link, the trail back to the original work breaks. Decide before import how Jira keys will be recorded, for example in an external reference field or the item description, and test that a search for an old key finds the migrated item. Plan redirects or a lookup document for external systems that link to Jira.
Edition mismatch that blocks the importer
Plane's Jira importer runs on Plane Cloud and on the Commercial Edition, not on Community. A self-hosted Community install will not complete the import until it is switched to the Commercial Edition, which is a separate codebase with its own release cycle. Confirm the edition, version and license before scheduling the import window, and rehearse the edition switch on a copy of the environment. Ask your vendor to confirm the current importer requirements for your exact version.
Cutting over before reconciliation
Teams that switch users to Plane before comparing counts and samples find errors only after people start working in the wrong system. Reconciliation means comparing item counts, statuses, assignees, attachments and link integrity per project against the Jira export, with named owners signing off each project. Set a rule that cutover waits until every project has passed reconciliation, and keep Jira read-only for a defined period after go-live.
Which parts of a Jira to Plane migration teams keep and outsource
This table shows which parts of a Jira to Plane migration most teams keep under their own control and which they commonly hand to a partner. Read the right-hand column as the skills each part needs, since decisions and sign-off usually stay with the people who own the project data. The main takeaway is that the business judgment stays in-house, while the mechanical setup, checks and runbook work are the parts teams most often outsource.
| Work part | Usually kept in-house or outsourced | Skills it needs |
|---|---|---|
| Status and workflow decisions | Kept in-house: product and project owners decide how Jira statuses map to Plane states | Knowledge of current Jira workflows and team reporting needs |
| Jira administration and export access | Kept in-house: Jira admins grant access and run the export with the right scope | Jira Cloud or Data Center administration, permission management |
| Plane edition and deployment setup | Often outsourced: installing the Commercial Edition with the chosen deployment method | Docker Compose or Kubernetes, PostgreSQL, Redis or Valkey, RabbitMQ, object storage |
| Importer configuration and test runs | Often outsourced: configuring the Jira importer and running trial imports into a test workspace | Familiarity with Plane importer options and Jira data structures |
| Reconciliation of counts and content | Split: scripted checks are outsourced, sign-off on results stays in-house | Scripting against the Plane and Jira APIs, data quality review |
| User and seat mapping | Kept in-house: owners decide who gets which role and paid seat | Identity and account administration, understanding of seat-based licensing |
| Cutover scheduling and communication | Kept in-house: the business chooses the freeze window and tells teams what changes | Change management, stakeholder communication, project planning |
| Post-cutover support | Split: a partner can prepare runbooks, while your team handles day-to-day user issues | Runbook writing, Plane administration, incident triage |
What your team must provide before a Jira to Plane migration starts
Your team has to provide several inputs before the migration can start, and most of them sit with people outside the delivery team. The first is administrator access to the Jira site with export rights sufficient to pull projects, issues, comments, attachments, sprints and worklogs. Ask your Jira administrator to confirm which deployment you run, because the Plane Jira importer supports Jira Cloud as well as Jira Server and Data Center, and the export path differs. The Jira administrator owns this item. Without it, no test extract can be produced, and every later step slips.
Next, your product or project leads must give us a definitive list of projects in scope, with a named owner for each. Mark projects that are archived, duplicated or scheduled for closure, since migrating them adds reconciliation work without adding value. Pair that list with workflow and status documentation for each project. The workflow owner should explain which Jira statuses map to which intended meaning, and which priorities and custom fields matter to the business. Plane brings across statuses and priorities, so an undocumented status set is the most common source of rework during mapping.
Identity mapping is the third input, and it is owned jointly by your IT identity team and the Plane workspace administrator. Provide a current user list that shows each Jira account, its matching email address in your identity provider, and whether the person should keep access after cutover. Users who left the company or use shared service accounts need explicit decisions. Users are part of the import, so a gap here shows up as orphaned comments or unassigned work items.
The technical inputs come next. Your platform team must provide a non-production Plane workspace on the Commercial Edition, because the Jira importer requires it on self-hosted installs, and the Community Edition does not include it. Confirm with your Plane deployment owner which edition, release and deployment method the target uses. You also need storage and database access for the chosen deployment, including PostgreSQL, Redis or Valkey, RabbitMQ and S3-compatible object storage, plus network paths that let the importer reach both systems. Attachments depend on object storage, so check write access and capacity before the first trial run.
Finally, three decisions and one sign-off must be in place. Name decision owners for mapping rules, such as how Jira sprints become cycles and components become modules, and who approves exceptions. Agree a cutover window with the teams who use Jira, because writes made during the final import must be frozen or re-run. Name one person who will sign off the reconciliation report, comparing item counts, statuses and assignments between Jira and Plane, and who has authority to accept or reject the result. Confirm each of these in writing before the project plan is baselined.
Questions buyers ask before hiring help for a Jira to Plane migration
How much does a Jira to Plane migration cost?
The cost is set by the written scope, not by a list price, so DeployOpen does not publish a figure for this work. The main drivers are the number of projects and work items, how much history and how many attachments must move, how many Jira workflows, custom fields and permission schemes need mapping to Plane states and roles, and how many validation rounds your team wants before cutover. Your own costs also count: subscription seats on the Plane edition you run, the infrastructure that hosts it, and staff time from project owners and an admin. When you request a quote, ask for the cost of each phase separately (assessment, mapping, test imports, cutover, post-cutover checks), which items are one-time and which recur, and what is excluded, such as ongoing support or Plane subscription fees.
How long does a Jira to Plane migration take?
Duration depends on the volume and complexity of what moves, and on how quickly your team reviews results. The largest variables are the number of Jira projects, the size of the attachment store, how cleanly workflows map to Plane states, and whether you need a parallel run before cutover. Scheduling also matters: teams often avoid sprint-end and release windows, and an agreed freeze period on Jira writes shortens the final sync. Ask for a timeline tied to the written scope, with a test import milestone that your team signs off before any production import, and confirm the dates your business needs before work begins.
Can our team migrate from Jira to Plane without a partner?
Yes, a capable internal team can run Plane's importer without outside help, especially for a small number of projects with simple workflows. Plane documents its Jira importer, so the core steps are available to you. The work that tends to need experience is mapping custom workflows and permission schemes, deciding how users and their roles translate, handling attachments and history at scale, and checking the result after import. Ask yourself whether someone on your team has run an import before, has time to test in a non-production workspace, and can own the rollback plan. If those answers are uncertain, a fixed-scope engagement can cover only the parts you choose.
What do we need to provide for a Jira to Plane migration?
Plan on providing access and decisions rather than doing the technical work yourself. You will typically need a named business owner who approves the mapping of statuses, priorities and roles, a Jira administrator who can export data and grant read access, and project leads who check sample imports for their teams. You also need a target Plane environment that you operate, with the hosting, database, object storage and network access your edition requires, and a named person to approve the cutover date. Share Jira configuration exports, a list of projects in scope and any compliance requirements for retention early, because those change the work.
Does the Jira importer require the Commercial Edition of Plane?
Plane documents its Jira importer as available on Plane Cloud and on all plans of the self-hosted Commercial Edition. A self-hosted Community install does not include it, so a self-hosted migration typically means running the Commercial Edition with a license key that matches your plan. Confirm this with Plane for your exact edition and plan before you commit, because feature availability can change between releases. Also note that Plane's editions use separate codebases and release cycles, so switching from Community to Commercial is a planned step that should be scoped and backed up as part of the work.
Does the Plane importer support Jira Server and Data Center?
Yes. Plane's Jira importer documentation states that it supports Jira Cloud as well as Jira Server and Data Center. The source system version, the export method and the amount of data still affect the work, so confirm your exact Jira deployment and version with the importer documentation and run a test import on a copy of real data. Pay attention to custom fields, workflow schemes, and permission configuration, which often differ across instances and need mapping decisions before the import begins.
What happens to attachments, comments and history during the import?
Plane's Jira importer documents that it brings over work items, statuses, priorities, users, comments, attachments, sprints as cycles, components as modules, story points, relations and worklogs. Attachments and history are often the largest share of the data volume, so storage capacity on the object store and import duration both depend on them. Ask for a test import that includes a representative sample of attachments and a long-running ticket with many comments. Confirm how users are matched to accounts in your identity system, and decide whether any historical data should be excluded or archived before cutover.
What does DeployOpen not do in a migration engagement?
DeployOpen plans, implements, customizes, backs up, documents and supports self-hosted open-source platforms inside your own infrastructure, and it can prepare systems, controls and evidence for compliance assessments. It does not issue audit reports, attestations or certifications. Independent auditors and certification bodies perform those assessments. DeployOpen also does not act as an official partner or reseller of Plane unless that is stated in the supplied facts for this page. Ask for the written scope to list excluded tasks, including any licensing or subscription purchases you make directly with Plane.
How DeployOpen scopes, delivers and hands over a Jira to Plane migration
DeployOpen plans and runs the move of Jira projects into a self-hosted Plane workspace inside your own infrastructure. Each engagement is fixed-scope, with the projects, data, edition and deliverables agreed in writing before any import starts.
How we scope
- Inventory the Jira Cloud or Jira Server and Data Center projects, boards and users in scope for the move
- Confirm the Plane edition needed for the Jira importer, since it requires the Commercial Edition on self-hosted plans
- Agree in writing which items, attachments, sprints, components and worklogs will be mapped and which will stay in Jira
How we build
- Stand up the target Plane instance in your environment and run a test import against a copy of representative projects
- Map Jira statuses, priorities, sprints to cycles and components to modules, then check the mapping with your project owners
- Run timed trial imports and record which relations, story points and worklogs carried over and which need manual rework
How we hand over
- Deliver a written cutover runbook covering freeze windows, final delta import, validation checks and rollback steps
- Document the mapping rules, known gaps and post-import cleanup tasks so your team can repeat or audit the move
- Hand over user accounts, roles and access records, with a review of which Jira users map to which Plane members
How we support
- Ongoing support, upgrades and continuous testing are available as a retainer after cutover, sized to your environment
- Confirm with DeployOpen what post-cutover fixes fall inside the fixed scope and what needs a separate agreement
- Ask for the support boundaries, response expectations and change process in writing before the engagement starts
