Project Management migration

Migrate from GanttPRO to Jira

Field-level mapping, validation, and rollback between GanttPRO and Jira. We move data and schema; workflows are rebuilt natively in Jira.

GanttPRO logo

GanttPRO

Source

Jira

Destination

Jira logo

Compatibility

92%

11 of 12

objects map 1:1 between GanttPRO and Jira.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from GanttPRO to Jira Software Cloud is a shift from dependency-first Gantt scheduling to issue-tracking with sprint-based delivery. GanttPRO structures data around a portfolio-project-summary task-subtask hierarchy with four dependency types (Finish-to-Start, Start-to-Start, Finish-to-Finish, Start-to-Finish) that have no direct Jira equivalent. We resolve this during schema design by creating custom Jira issue link types for each dependency variant, then validate dependency link counts post-migration against the source data. GanttPRO also distinguishes project members (human users) from virtual resources (role-based placeholders with cost rates); virtual resources convert to assignee notes rather than Jira user accounts since Jira does not have a native cost-rate model. We do not migrate automations, project templates, or saved filters; we deliver a written inventory of these for the customer's admin to rebuild in Jira.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

GanttPRO logo

GanttPRO

What's pushing teams away

  • G2 reviews cite expensive pricing as a top frustration, with multiple mentions that the cost poses challenges for students and small businesses operating on limited budgets.
  • Users report a steep learning curve that makes navigation difficult for beginners, particularly when moving from simpler tools like spreadsheet-based planning.
  • Limited customization options restrict flexibility, with users noting that advanced features feel constrained compared to competing project management tools.
  • Reviews mention missing project duplication functionality and insufficient reporting modules as gaps that drive users to look for alternatives.
  • The platform lacks a QuickBooks integration, which frustrates teams whose invoicing depends on direct time-tracking connections.

Choosing

Jira logo

Jira

What's pulling them in

  • 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.

Object mapping

How GanttPRO objects map to Jira

Each row shows how a GanttPRO 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.

GanttPRO

Project

maps to

Jira

Project

1:1
Fully supported

GanttPRO projects map directly to Jira Software projects. We preserve the project key, name, description, and project-level settings including the auto-scheduling toggle state and duration step (hours, days, weeks, or months). Jira projects require a key prefix (such as PROJ) which we generate from the GanttPRO project name or preserve if the customer has an existing Jira project key convention. Project-level permissions and notification schemes migrate as part of the project configuration export.

GanttPRO

Summary Task

maps to

Jira

Epic or Parent Issue

1:1
Fully supported

GanttPRO summary tasks (parent rows that group related subtasks and display rollup progress on the Gantt chart) map to Jira Epic issues within the destination project. The summary task name becomes the Epic summary; the estimated duration and rollup progress map to the Epic's custom fields. Subtask rollup percentage is preserved in a custom field ganttpro_rollup_progress__c on the Epic for audit and reporting. If the customer prefers a flat issue hierarchy, summary tasks map to parent Story issues with linked Sub-tasks instead.

GanttPRO

Task

maps to

Jira

Story or Bug

1:1
Fully supported

Standard GanttPRO tasks map to Jira Story or Bug issues depending on the task type field in GanttPRO. Task name becomes Issue Summary; start date and end date map to the Jira custom fields ganttpro_start_date__c and ganttpro_due_date__c or to the GanttPRO for Jira add-on fields if that app is installed. Assignee, priority, status, and description migrate directly. Progress percentage from GanttPRO maps to a custom field ganttpro_progress__c.

GanttPRO

Subtask

maps to

Jira

Sub-task

1:1
Fully supported

GanttPRO subtasks (nested under summary tasks with their own dates and assignments) map to Jira Sub-task issues linked to their parent Story or Epic. Subtask dates, assignees, and status preserve. Jira's native Sub-task issue type must be enabled in the destination project settings before migration; if not enabled, subtasks are created as standard linked issues instead.

GanttPRO

Dependency (FS, SS, FF, SF)

maps to

Jira

Issue Link (custom types)

lossy
Fully supported

GanttPRO supports four dependency types: Finish-to-Start (FS), Finish-to-Finish (FF), Start-to-Start (SS), and Start-to-Finish (SF). Jira's default issue link types include Blocks and Relates To but do not natively distinguish between dependency directions. We create four custom Jira link types (ganttpro_blocks_fs, ganttpro_blocks_ff, ganttpro_blocks_ss, ganttpro_blocks_sf) during schema setup, map each GanttPRO dependency to the corresponding link type, and validate link counts post-migration against the source. Circular dependency detection from GanttPRO is preserved as Jira comments on the offending issues.

GanttPRO

Project Member

maps to

Jira

User (Assignee)

1:1
Fully supported

GanttPRO project members (human users with project-level access) map to Jira User accounts by email address. We resolve each project member's email against the Jira instance user directory and set the Jira issue Assignee field. Any project member without a matching Jira user is flagged in the reconciliation report for the customer's admin to provision before the production migration phase.

GanttPRO

Virtual Resource

maps to

Jira

Assignee Note (custom field)

1:1
Fully supported

GanttPRO virtual resources are role-based placeholders (such as Senior Developer or QA Engineer) with assigned cost rates per hour or per day. Jira has no native virtual resource or cost-rate concept on the standard issue schema. We extract virtual resource assignments as task-level notes in a custom field ganttpro_virtual_resource__c, preserving the resource name, role, and cost rate for manual assignee mapping in Jira. Customers who need cost tracking configure Jira custom fields for billable hours or integrate with an Atlassian marketplace app for resource management.

GanttPRO

Custom Field

maps to

Jira

Custom Field

1:1
Fully supported

GanttPRO custom fields (Advanced and Business tiers) support text, number, date, dropdown, and checkbox types. We map these to Jira custom fields of the equivalent type: GanttPRO text to Jira Text Field, GanttPRO number to Jira Number Field, GanttPRO date to Jira Date Picker, GanttPRO dropdown to Jira Select List, and GanttPRO checkbox to Jira Checkbox. Field values migrate per issue. Custom field context (project-specific versus global) maps to Jira's field configuration scheme.

GanttPRO

Time Log

maps to

Jira

Worklog

1:1
Fully supported

GanttPRO time entries (date, user, duration in hours, and optional comment) map to Jira Worklog records on the corresponding issue. The time tracking must be enabled in the Jira project settings before migration. GanttPRO exports time logs as XLSX only; we parse the XLSX during scoping, convert to structured records, and map the duration to Jira's time tracking format (such as 3h 30m). Worklog author is resolved by email match against Jira users. Note that GanttPRO time logs do not include a billing rate field by default; if the customer uses resource cost rates for billing, those rates are preserved in a custom worklog field.

GanttPRO

Portfolio

maps to

Jira

Project Grouping or Jira Align

1:1
Fully supported

GanttPRO portfolios group multiple projects for high-level strategic monitoring across an organization. Jira does not have a native portfolio object without Jira Align or Structure add-ons. We migrate portfolio membership as a custom field portfolio_name__c on each Jira project or as a Jira label for grouping. If the customer licenses Jira Align post-migration, the portfolio hierarchy is rebuilt within that platform.

GanttPRO

Budget Data

maps to

Jira

Custom Fields

1:1
Mapping required

GanttPRO Budget Tracking (Business tier) stores automatic calculation mode (resource rates multiplied by estimated hours) or manual budget values per project. Jira has no native budget module. We extract the calculated budget value and the resource-rate derivation and map them to Jira custom number fields: ganttpro_budget_total__c and ganttpro_budget_mode__c. If the customer requires active budget tracking, we recommend a Jira-compatible financial app from the Atlassian Marketplace.

GanttPRO

Project Calendar

maps to

Jira

Project Settings (Working Days)

1:1
Mapping required

GanttPRO project calendars define working days, holidays, and calendar exceptions per project. Jira has project-level working day configurations in project settings. We export GanttPRO calendar exceptions and map them to Jira's working days configuration. Jira does not support per-project holiday sets natively; holidays are set at the Jira instance level and apply globally.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

GanttPRO logo

GanttPRO gotchas

High

API is in Public Beta with no guaranteed SLA

High

5 req/sec rate limit throttles bulk migration speed

Medium

API access gated to Business and Enterprise tiers

Medium

Virtual resources require manual assignee mapping

Low

Time log export limited to XLSX format only

Jira logo

Jira gotchas

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

Pair-specific challenges

  • GanttPRO-Jira integration is Cloud-only; Jira Server and Data Center are not supported

    GanttPRO's native integration and API-based migration path both require Jira Cloud. GanttPRO explicitly states that its Jira integration works only with the cloud version and does not support Jira Software Server or Jira Data Center. If the customer's Jira destination is a self-hosted instance, the migration must use the GanttPRO XLSX/CSV export as the primary data source rather than the API, and manual field mapping in Jira becomes the import mechanism. We confirm the Jira destination type (Cloud versus Server versus Data Center) during discovery and adjust the extraction and import strategy accordingly.

  • All four GanttPRO dependency types require custom Jira link type configuration

    GanttPRO natively supports Finish-to-Start, Finish-to-Finish, Start-to-Start, and Start-to-Finish dependency types, each visualized with orange arrows on the Gantt chart. Jira's default Blocks link type does not distinguish between these variations. Without custom link types configured before migration, FF and SF dependencies either drop or convert to generic Relates To links, breaking the critical path and schedule logic that teams built in GanttPRO. We create four custom link types (ganttpro_blocks_fs, ganttpro_blocks_ss, ganttpro_blocks_ff, ganttpro_blocks_sf) during schema setup and validate link counts post-migration against the source dependency export. If Jira Structure or BigGantt add-ons are installed, these custom links render as Gantt dependency arrows in the Jira timeline view.

  • Virtual resources have no Jira equivalent and require manual assignee conversion

    GanttPRO distinguishes between real project members (human users with accounts) and virtual resources (role-based placeholders such as Senior Developer or QA Engineer with assigned hourly or daily cost rates). Jira does not have a virtual resource concept; all assignees must be Jira User accounts. Virtual resource assignments cannot auto-convert to Jira assignees without provisioning actual user accounts. We extract virtual resource assignments as custom field notes and flag them for manual review. Converting a virtual resource to a real assignee may also affect any budget calculations derived from the virtual resource cost rate, since Jira does not carry a native cost-rate field on the standard issue schema.

  • Saved filters and project views do not migrate and must be recreated in Jira

    GanttPRO saved filters (filtering by task name, type, assignee, status, priority, date range, color, and custom fields) and custom project views are not exported through the API or UI export. Jira's filter and dashboard system uses JQL queries and dashboard gadgets that do not share a common schema with GanttPRO filters. We deliver a written filter inventory per project during migration scoping, documenting each GanttPRO filter's criteria so the customer's Jira admin can recreate them as JQL-based filters post-migration. This is a manual step that requires Jira administration access and is outside the automated migration scope.

  • Time log export is XLSX-only with a default current-month date filter

    GanttPRO time logs are exportable only as Excel files; there is no CSV, JSON, or direct API export for time entries. Additionally, the GanttPRO time log view defaults to the current month, which can silently truncate the data window if scoping is not performed carefully. We explicitly request a full date range covering the project's entire time tracking history during migration scoping, parse the resulting XLSX into structured records, and map them to Jira worklogs. If the time log spans multiple years or hundreds of entries, XLSX parsing adds a preprocessing step to the migration timeline.

Migration approach

Six steps for a successful GanttPRO to Jira data migration

  1. Discovery and Jira destination confirmation

    We audit the source GanttPRO account across plan tier (Core/Advanced/Business/Enterprise), API access availability, project count, task volume, dependency density, virtual resource usage, custom field count, time log history, and budget module usage. We confirm the Jira destination type during discovery: only Jira Cloud supports the API-based migration path; Jira Server and Data Center require the XLSX/CSV export path with manual field mapping. The discovery output is a written migration scope document with record counts per object type, a dependency graph summary, and a Jira destination type confirmation.

  2. Schema design and Jira link type configuration

    We design the Jira destination schema before any data moves. This includes creating Jira projects with appropriate keys, enabling the Sub-task issue type per project, creating the four custom dependency link types (ganttpro_blocks_fs, ganttpro_blocks_ss, ganttpro_blocks_ff, ganttpro_blocks_sf), configuring Jira custom fields to match GanttPRO custom field types, enabling time tracking per project, and mapping GanttPRO portfolios to custom fields or labels. The schema design is validated in a Jira Sandbox or test project before production migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into the Jira destination using a representative data sample (at least 10 percent of production record volume). The customer reconciles record counts (projects in, issue counts by type, link counts by dependency type), spot-checks 25-50 random issues against the GanttPRO source, and validates dependency integrity by reviewing the custom link counts. Any schema corrections, field mapping adjustments, or link type issues are resolved in this phase before production migration. Jira Sandbox is not available on all Jira plans; if unavailable, we use a dedicated test project within the production Jira instance.

  4. User and assignee reconciliation

    We extract every distinct GanttPRO project member and virtual resource assignment from the task records and match project members by email against the Jira destination user directory. Virtual resources are isolated into a separate reconciliation report. The customer's Jira admin provisions any missing Jira users before production migration continues. This step is required before record import because Jira Assignee is a required reference on standard issue creation.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Jira projects first (with schema configuration deployed), then Epic and parent issues (to establish the hierarchy), then standard Story and Bug issues with parent references resolved, then Sub-task issues linked to their parents, then custom dependency links using the four custom link types (validated against the GanttPRO dependency export), then time logs as Jira worklogs, then budget data as custom fields, then custom field values. Each phase emits a row-count reconciliation report before the next phase begins. The GanttPRO 5 req/sec API rate limit is throttled in our migration pipeline; for large task volumes we use the XLSX export path for initial data extraction to reduce API call volume.

  6. Cutover, validation, and dependency integrity check

    We freeze GanttPRO writes during cutover, run a final delta migration of any tasks or time logs modified during the migration window, then enable Jira as the system of record. We validate total dependency link counts against the GanttPRO export to confirm no links were dropped. We deliver the filter and automation inventory document to the customer's Jira admin team for rebuild. We support a one-week hypercare window where we resolve any reconciliation issues. Automations, saved filters, and project templates do not migrate as configuration; they require manual rebuild in Jira and are outside the automated migration scope.

Platform deep dives

Context on both ends of the pair

GanttPRO logo

GanttPRO

Source

Strengths

  • Visual Gantt chart interface with clear timeline, dependency arrows, and critical path highlighting
  • Portfolio-level view for monitoring multiple projects simultaneously across an organization
  • Resource workload visualization with allocation tracking per resource or project
  • Template library covering construction, IT, marketing, and professional services industries
  • Auto-scheduling that recalculates dependent task dates when upstream changes occur

Weaknesses

  • API remains in Public Beta with no formal SLA, creating reliability risk for automated migrations
  • Strict 5 req/sec rate limit on insert/update/delete calls significantly extends bulk migration timelines
  • Business tier or higher required for API access, adding cost for teams currently on lower plans
  • Monthly subscriptions only available for teams of 5+ users, limiting adoption for smaller groups
  • Export permissions restricted to Account Owner, Admins, and Enterprise users with custom roles
Jira logo

Jira

Destination

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.

Complexity grading

How hard is this migration?

Moderate Project Management migration. 1 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across GanttPRO and Jira.

  • Object compatibility

    C

    1 of 8 objects need a manual workaround.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    GanttPRO: 5 req/sec for insert, update, and delete operations.

  • Data volume sensitivity

    B

    GanttPRO doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your GanttPRO to Jira migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about GanttPRO to Jira data migrations

Answers to the questions buyers ask most during GanttPRO to Jira migration scoping. Not seeing yours? Book a call.

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Migrations under 500 tasks with clean 1:1 task hierarchies land between two and four weeks and complete in a single production migration window. Migrations with 2,000+ tasks, multi-level summary task-subtask nesting, complex dependency chains (including FF, SS, and SF variants), virtual resource conversion, and time log history spanning multiple months move to eight to twelve weeks because of dependency mapping validation, XLSX time log preprocessing, and Jira link type configuration scope.

Adjacent paths

Related migrations to explore

Ready when you are

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