Project Management migration
Field-level mapping, validation, and rollback between Allegra and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Allegra
Source
Jira
Destination
Compatibility
7 of 11
objects map 1:1 between Allegra and Jira.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Allegra to Jira is a structural schema translation, not a file copy. Allegra organizes work around Items with a critical distinction: attributes belong to Items natively while custom fields belong to input forms. Jira uses a hierarchical issue model (Epic, Story, Task, Bug, Subtask) with Projects as containers, custom fields as typed extensions, and attachments stored in Atlassian's managed file store rather than on a server filesystem. We extract from Allegra's database and ALLEGRA_HOME directory simultaneously, resolve the attribute-field split before mapping to Jira custom fields, and handle MS Project import files as Jira issue hierarchies. Workflows, automations, and reporting dashboards do not migrate as code; we deliver a written inventory of Allegra workflow configurations for the customer's Jira admin to rebuild in Jira Automation or Jira Workflow post-migration.
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 Allegra 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.
Allegra
Item
Jira
Issue (Story, Task, Bug)
1:1Allegra Items map to Jira Issues based on Item type classification. We query the Allegra schema to determine Item type values and map them to Jira Issue Types: general Items become Jira Stories or Tasks, Items classified as bugs become Jira Bug issues, and parent Items become Jira Epics if a parent-child hierarchy is detected. The Jira Project, Issue Type Scheme, and Workflow are configured before migration begins.
Allegra
Item Attribute
Jira
Jira Custom Field
1:1Allegra attributes belong to Items natively and differ from form fields. We discover all Item attributes via the Allegra schema endpoint, determine their data type (string, number, date, picklist), and create corresponding Jira custom fields of matching type (Text Field, Number Field, Date Picker, Select/Picklist). Attributes with picklist behavior map to Jira custom field options. This is the most critical mapping step because skipping the attributes-versus-fields distinction causes silent data loss.
Allegra
Form Field
Jira
Jira Custom Field
1:1Allegra form fields belong to input forms rather than Items. We extract field definitions separately from attributes and map them to Jira project-level custom fields. Form field values stored against Items are resolved at migration time by matching the form submission to the Item record and populating the corresponding Jira custom field. Some form fields may not apply to Jira if they capture metadata relevant only to Allegra's form submission model.
Allegra
Attachment
Jira
Issue Attachment
1:1Allegra stores file attachments on disk under the ALLEGRA_HOME directory, not in the database. We export both the Allegra database and the ALLEGRA_HOME attachment directory simultaneously, preserve the directory structure mapping each file to its source Item record, and upload files to Jira via the Jira REST API attachment endpoint (POST /rest/api/3/issue/{issueIdOrKey}/attachments). Jira Cloud attachments are stored in Atlassian's file store; Jira Data Center attachments are stored in the attachments table. We verify each file attachment succeeds and report any orphaned files (files without a matching Item record) for customer review.
Allegra
Custom List
Jira
Custom Field Options or Cascading Select
lossyAllegra custom lists with list entries (accessible via GET /v2/lists in the REST API) map to Jira custom field option sets. For single-level picklist behavior, we create Jira Select custom fields and populate the options from Allegra list entries. For hierarchical lists, we create Jira Cascading Select custom fields where the parent level maps to the primary list and the child options map to the dependent list entries. We verify option consistency during migration and flag any Item references to list entries that no longer exist.
Allegra
User
Jira
Jira User
1:1Allegra users and their roles are exported from the database. We map user accounts to Jira users by matching email address as the unique identifier. Role assignments in Allegra (Admin, Project Manager, Team Member, Viewer) map to Jira global permissions and project-level roles (Administrators, Developers, Users, Viewers). Any Allegra user without a matching Jira account enters a reconciliation queue for the customer's admin to provision before the Item migration phase begins.
Allegra
MS Project File (MPP Import)
Jira
Issue Hierarchy (Epic, Story, Task)
1:manyAllegra can import Microsoft Project and Project Libre MPP files with task recognition. We parse the MPP structure to extract the WBS hierarchy, task names, start dates, end dates, duration, and resource assignments. The task tree maps to Jira Issues: top-level tasks become Epics, mid-level tasks become Stories or Tasks, and leaf-level tasks become Subtasks. We preserve the parent-child relationships as Jira issue links (Parent > Sub-task). Jira does not have native MPP import, so this mapping delivers the closest equivalent structure.
Allegra
Project
Jira
Jira Project
1:1Allegra projects map to Jira Projects as containers. Each Allegra project becomes a Jira Project with its own key (prefix), Issue Type Scheme, and Workflow. If the Allegra project uses a specific methodology (Agile, Waterfall, hybrid), we configure the corresponding Jira project template (Scrum, Kanban, or Bug Tracking) during project creation. Projects are created before Items to serve as the parent container during issue import.
Allegra
Item Comment
Jira
Issue Comment
1:1Allegra Item comments map to Jira Issue Comments via the Jira REST API. We preserve the original comment author (mapped to Jira user), timestamp, and comment body. Comment ordering is maintained by setting the created field to the Allegra comment timestamp. Rich text from Allegra comments is converted to Atlassian Document Format (ADF) for Jira Cloud compatibility.
Allegra
Item Status
Jira
Jira Issue Status
lossyAllegra Item status values map to Jira Issue Status values within the Jira Workflow. We discover all status values in the Allegra schema and map them to corresponding statuses in the Jira Workflow. If Allegra uses custom status labels, we create custom status categories in Jira (To Do, In Progress, Done) to preserve the customer's status semantics. Status transitions map to Jira Workflow transitions.
Allegra
Workflow Configuration
Jira
Jira Workflow (documented, not migrated)
lossyAllegra workflow rules, notification triggers, and assignment rules are documented as part of migration discovery but are not migrated to Jira Workflows as code. Jira Workflows use a different XML-based definition model from Allegra's rule engine. We deliver a written inventory of every Allegra workflow rule with its trigger, conditions, and actions, mapped to equivalent Jira Automation rules or Jira Workflow Post-Functions. The customer's Jira admin or an Atlassian partner rebuilds these post-migration.
| Allegra | Jira | Compatibility | |
|---|---|---|---|
| Item | Issue (Story, Task, Bug)1:1 | Fully supported | |
| Item Attribute | Jira Custom Field1:1 | Fully supported | |
| Form Field | Jira Custom Field1:1 | Fully supported | |
| Attachment | Issue Attachment1:1 | Fully supported | |
| Custom List | Custom Field Options or Cascading Selectlossy | Fully supported | |
| User | Jira User1:1 | Fully supported | |
| MS Project File (MPP Import) | Issue Hierarchy (Epic, Story, Task)1:many | Fully supported | |
| Project | Jira Project1:1 | Fully supported | |
| Item Comment | Issue Comment1:1 | Fully supported | |
| Item Status | Jira Issue Statuslossy | Fully supported | |
| Workflow Configuration | Jira Workflow (documented, not migrated)lossy | 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.
Allegra gotchas
Attachments reside in ALLEGRA_HOME filesystem, not the database
Attributes vs. fields distinction causes field mapping errors
Server migration requires full installation shutdown
Database system change during migration risks field-length data loss
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 Allegra schema audit
We audit the Allegra instance across its database schema, custom attributes, form field definitions, custom lists, MS Project import files, and attachment directory size and file count. We identify Item types, status values, workflow rules, and user roles. We also assess the Jira destination: Cloud or Data Center, Jira project template selection, Issue Type Scheme design, and custom field type planning. The discovery output is a written migration scope with a source-to-destination object map and a Jira configuration checklist for the customer to complete (project creation, workflow selection, permission scheme).
Schema design and Jira configuration
We design the Jira destination schema before data moves. This includes creating the Jira Project with the appropriate key prefix and template (Scrum, Kanban, Bug Tracking, or custom), configuring the Issue Type Scheme to map Allegra Item types to Jira Issue Types, designing the Jira Workflow with statuses mapped from Allegra Item statuses, creating custom fields for Allegra attributes and form fields with correct data types, and setting up custom field options for Allegra custom lists. Jira configuration is deployed to a Jira Sandbox or staging environment first for validation. The attribute-field distinction is resolved during this step by reviewing each Allegra schema entry.
Attachment extraction and file inventory
We extract the Allegra ALLEGRA_HOME attachment directory alongside the database export, preserve the directory structure that maps each file to its source Item record, and audit file sizes and types against Jira's attachment limits. We flag oversized files, restricted file types, and any files without a valid Item association. The customer reviews the orphaned file report and decides whether to archive files externally, downgrade to Jira Data Center for higher attachment limits, or accept that some files cannot migrate. This step runs concurrently with database extraction during the maintenance window.
Sandbox migration and reconciliation
We run a full migration into the Jira staging environment using production-like data volume. The customer's project manager and Jira admin reconcile record counts (Items in, Issues created, Attachments linked), spot-check 20-40 random Items against Allegra source records, and verify custom field values, status mappings, and comment ordering. MS Project task hierarchies are verified as Jira Epic-Story-Subtask chains. The customer signs off the sandbox migration before production migration begins. Any mapping corrections happen here.
Production migration in dependency order
We run production migration in record-dependency order: Jira Project and configuration first, then Users and project role assignments, then Issue Type Scheme and Workflow, then Items mapped to Issues with custom field values resolved, then comments, then attachments uploaded via Jira REST API. MS Project task trees are processed as separate issue hierarchies with parent-child links created after all issues exist. Each phase emits a row-count reconciliation report. We run a final delta check for any Items modified during the migration window before cutover.
Cutover, validation, and workflow handoff
We freeze Allegra writes during cutover, run a final delta migration, and enable Jira as the system of record. We deliver the Allegra workflow rule inventory mapped to Jira Automation equivalents for the customer's Jira admin to rebuild. We do not migrate Allegra reporting dashboards to Jira Dashboards; we deliver a written inventory of existing Allegra reports and recommend Jira Dashboard gadgets as the replacement. We support a brief hypercare window to resolve reconciliation issues. Rebuilding Allegra automations in Jira Automation or Jira Workflow is outside standard migration scope and is documented for a separate engagement.
Platform deep dives
Allegra
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 Allegra 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
Allegra: Not publicly documented.
Data volume sensitivity
Allegra 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
Pick a category, then your source and destination platforms.
Category
FAQ
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