Project Management migration
Field-level mapping, validation, and rollback between Antura and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Antura
Source
Jira
Destination
Compatibility
9 of 11
objects map 1:1 between Antura and Jira.
Complexity
BStandard
Timeline
4-8 weeks
Overview
Antura organizes work around Projects and Sub-projects with a flat task hierarchy and deep resource management, while Jira uses a nested hierarchy of Projects, Epics, Stories, Tasks, and Bugs with board-based sprint planning. The migration requires restructuring Antura's flat task lists into Jira's parent-child issue relationships, resolving resource assignments against Jira's user provisioning model, and mapping Antura's custom field schemas (which require manual discovery due to Antura's lack of a public API) to Jira's custom field configuration. We extract Antura data through its CSV export functionality, transform it into Jira-compatible JSON, and import through the Jira REST API with rate-limit handling. Document binaries require a separate file-transfer process outside the data migration scope. We do not migrate workflows, automations, or project templates; we deliver a written inventory of these for the customer's Jira admin to rebuild.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Antura object lands in Jira, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Antura
Project
Jira
Jira Project
1:1Antura Projects map to Jira Projects as the top-level container. Project name, description, status, start date, and target end date migrate directly. Antura project status (Active, On Hold, Completed, Cancelled) maps to Jira Project's archived state or a custom status field depending on the destination Jira edition. We create Jira Projects via the Jira API before issue import begins, using the Jira project key as the identifier for all child record references.
Antura
Sub-project
Jira
Jira Epic
1:manyAntura Sub-projects nest under parent Projects and inherit portfolio-level metadata. Jira does not have a native Sub-project concept; we map Antura Sub-projects to Jira Epics within the target Project. The Epic Name and Description map from the Sub-project name and description. We preserve the parent-child relationship by setting the Epic Link on any migrated Stories or Tasks that should belong to the Sub-project, and we flag which Sub-projects lack child tasks so the customer can decide whether to create standalone Epics or restructure before import.
Antura
Task
Jira
Jira Issue (Story, Task, Bug)
1:1Antura Tasks map to Jira Issues with the Jira issue type determined by the customer during scoping. Standard Antura work items become Jira Stories or Tasks; Antura Tasks marked with a bug indicator become Jira Bugs. Antura task assignee, due date, status, and description migrate directly. Antura's flat task structure means we set no parent Issue on migrated records unless the customer specifies a grouping rule (for example, grouping by project phase or Antura Sub-project). The customer chooses the grouping strategy during scoping because Jira's hierarchy requires an explicit parent-child decision.
Antura
Milestone
Jira
Jira Fix Version or Component Release
1:1Antura Milestones are date-driven markers within Projects. Jira uses Fix Version (associated with an issue's release) and Component (grouping within a project) to represent milestones. We map Antura Milestone dates and names to Jira Fix Version records created under the target Project, and we link migrated Issues to the relevant Fix Version based on the Milestone assignment in Antura. The customer chooses between Fix Version and Component during scoping based on their Jira release management process.
Antura
Resource
Jira
Jira User + Workload
1:1Antura Resources represent employees with capacity data, skills, and cost rates. Jira does not have a native Resource object; Jira manages assignments through User provisioning and, at Premium and Enterprise tiers, through Jira Software's capacity planning. We extract Antura Resource names and email addresses, resolve them against the destination Jira site's User table by email match, and flag any Antura Resources without a corresponding Jira User for the customer's admin to provision. Capacity and utilization percentages from Antura migrate as custom fields on the User record or as a separate reporting spreadsheet for the customer's resource manager to reconcile post-migration.
Antura
Risk and Issue
Jira
Jira Issue (Issue Type: Risk or custom Issue type)
1:1Antura tracks Risks (probability, impact, mitigation) and Issues (severity, owner, status) as separate objects. Jira does not have a native Risk issue type in core Software; customers either use a custom Risk Issue type, Jira's native Issue type with a Risk category, or Jira Align for formal risk management. We map Risk probability and impact fields to Jira custom fields, map Risk mitigation to the Issue Description or a custom mitigation field, and map Issue severity to a Jira Priority value. The customer chooses the risk representation strategy during scoping.
Antura
Cost Record
Jira
Custom Fields on Jira Issue or Jira Software Premium capacity views
1:1Antura Cost Records include estimates, budgets, actuals, and forecasts per Project. Jira Software core does not have native financial fields. We map cost data to Jira custom number fields (Budget Estimate, Actual Cost, Forecast) on the Jira Project or Epic level. For Jira Premium and Enterprise customers, we map to Jira's built-in capacity and estimation fields. The customer decides whether cost data lives on Project metadata, Epic metadata, or Story-level estimation fields during scoping. Multi-currency handling requires the customer to configure Jira's currency field or document exchange rates at migration time.
Antura
Time Entry
Jira
Jira Worklog
1:1Antura Time Entries record hours spent by Resources on Tasks or Projects with date and description. Jira Worklog tracks time spent on Issues with author, date, duration, and comment. We map Antura Time Entry hours to Jira Worklog entries linked to the corresponding Jira Issue. The Jira Worklog author resolves by matching the Antura Resource email to the Jira User. If the customer requires billing rate preservation, we map the Antura cost rate to a custom Worklog field since Jira does not support per-entry billing rates without a third-party app.
Antura
Document (metadata)
Jira
Jira Attachment (metadata)
1:1Antura Documents attach to Projects and Sub-projects as binary files. We extract document metadata (filename, type, date, owner) from the Antura export and map it to Jira Issue Attachment metadata at the target Project level. The actual file binaries require a separate file-transfer process using Antura's document export feature to a shared location, followed by manual reattachment in Jira. We flag this upfront and recommend running the parallel file transfer during the scoping phase so that binaries are staged before cutover. Jira's 10MB per-attachment limit and 256GB storage cap require the customer to verify their Jira Cloud storage allocation or Jira Data Center storage volume before file transfer begins.
Antura
Custom Fields
Jira
Jira Custom Fields
lossyAntura supports organization-specific custom fields across Projects, Tasks, and Resources with no public metadata API for schema discovery. We conduct a manual schema discovery phase where we export a full field inventory from the customer's Antura instance through the admin interface, identify all active custom fields per object, and map each to a corresponding Jira Custom Field with the appropriate Jira field type (text, number, date, picker, checkbox, radio, cascading select). Jira custom fields require context configuration (which issue types and projects the field applies to); we configure this during the Jira destination setup phase. The customer validates the custom field mapping during UAT before production import.
Antura
Portfolio
Jira
Jira Advanced Roadmaps (Premium/Enterprise) or Program
1:1Antura Portfolio groups Projects for strategic oversight with priority, status, and strategic alignment fields. Jira Advanced Roadmaps (a paid add-on for Jira Software Premium and Enterprise) provides cross-project planning with team capacity and dependencies. Jira Align offers portfolio-level planning as a separate product. We map Antura Portfolio membership and priority to Jira Advanced Roadmaps plans or, for customers without Advanced Roadmaps, to a Jira project designated as a Program with links to child Projects. We flag that strategic alignment fields require customer-defined custom fields in Jira since no native equivalent exists.
| Antura | Jira | Compatibility | |
|---|---|---|---|
| Project | Jira Project1:1 | Fully supported | |
| Sub-project | Jira Epic1:many | Fully supported | |
| Task | Jira Issue (Story, Task, Bug)1:1 | Fully supported | |
| Milestone | Jira Fix Version or Component Release1:1 | Fully supported | |
| Resource | Jira User + Workload1:1 | Fully supported | |
| Risk and Issue | Jira Issue (Issue Type: Risk or custom Issue type)1:1 | Fully supported | |
| Cost Record | Custom Fields on Jira Issue or Jira Software Premium capacity views1:1 | Fully supported | |
| Time Entry | Jira Worklog1:1 | Fully supported | |
| Document (metadata) | Jira Attachment (metadata)1:1 | Fully supported | |
| Custom Fields | Jira Custom Fieldslossy | Mapping required | |
| Portfolio | Jira Advanced Roadmaps (Premium/Enterprise) or Program1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Antura gotchas
Custom field schema discovery requires manual scoping
No public API documentation for bulk export
Document attachments require separate file transfer
Swedish-language interface affects default field names
Jira gotchas
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
Pair-specific challenges
Migration approach
Discovery and Antura export guidance
We audit the source Antura instance across all objects (Projects, Sub-projects, Tasks, Resources, Risks, Issues, Milestones, Cost Records, Time Entries, Documents, Custom Fields, Portfolio). We guide the customer through Antura's CSV export process for each object, chunk large exports, and verify data completeness against the customer's record count. We also conduct the manual schema discovery phase to capture the active custom field set per object. The discovery output is a written migration scope with object counts, field inventory, and a schema mapping document.
Jira destination setup and schema mirroring
We set up the destination Jira site with the appropriate Jira Software edition (Free, Standard, Premium, or Enterprise). This includes creating Jira Projects, configuring the Jira issue type scheme (Epic, Story, Task, Bug, or custom types), setting up the Jira status workflow per project, and mirroring Antura's custom field schemas as Jira custom fields with proper type mapping and context configuration. We define the Jira issue hierarchy strategy (how Antura Sub-projects map to Epics, how flat tasks map to Stories or Tasks) with the customer during this phase. All Jira setup occurs in a Sandbox or Dev environment first for validation.
Sandbox migration and reconciliation
We run a full migration into the Jira Sandbox or Dev environment using production-like data volume. The customer's Jira admin reviews the migrated Projects, issue structure, custom field values, and worklog entries. We reconcile record counts (Projects in, Issues in, Resources mapped, Worklogs in, Custom Fields populated) and spot-check 25-50 records against the Antura source. Any hierarchy restructuring corrections, field mapping adjustments, or issue type changes happen here. The customer signs off on the sandbox result before production migration begins.
User provisioning and resource reconciliation
We extract every distinct Antura Resource email and resolve them against the destination Jira site's User table. Resources without a matching Jira User go to a reconciliation queue. The customer's Jira admin provisions any missing Users (active or inactive depending on whether the original Antura Resource is still active). Jira project role assignments are configured based on the customer's resource allocation model. Migration cannot proceed past issue import until all referenced assignees have Jira User accounts because Jira does not allow assigning issues to unresolved users.
Production migration in dependency order
We run production migration in record-dependency order: Jira Projects (created first), Fix Versions and Components (for milestone mapping), Epics (from Antura Sub-projects), Issues (Tasks and Stories from Antura Tasks), Risks and Issues (mapped to custom Risk issue type or Jira Issues), Worklogs (linked to resolved Issues), and Custom Field values (populated on the migrated records). Jira REST API rate limits are managed with exponential backoff and batch chunking. Each phase emits a row-count reconciliation report before the next phase begins. Document metadata migrates with a flag indicating the customer must complete binary file transfer separately.
Cutover, validation, and workflow handoff
We freeze Antura writes during cutover, run a final delta migration of any records modified during the migration window, then enable Jira as the system of record. We deliver a written inventory of Antura workflows, project status configurations, and automations requiring rebuild in Jira (using Jira Workflows and Jira Automation for Premium/Enterprise). We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's Jira team. We do not rebuild Antura workflows as Jira workflows inside the migration scope; that work is handled by the customer's Jira admin or a Jira partner.
Platform deep dives
Antura
Source
Strengths
Weaknesses
Jira
Destination
Strengths
Weaknesses
Complexity grading
Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Antura and Jira.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Antura: Not publicly documented.
Data volume sensitivity
Antura doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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Category
FAQ
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