Project Management migration
Field-level mapping, validation, and rollback between Project Drive and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Project Drive
Source
Jira
Destination
Compatibility
7 of 10
objects map 1:1 between Project Drive and Jira.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Project Drive to Jira is a migration from a structured task-and-budget platform with no documented API to the most widely adopted software project management tool in the enterprise. Project Drive organizes work around Gantt views, hierarchical task structures, and native budget fields, but its lack of a public export API forces all data extraction through the application UI, which adds timeline risk on large accounts. Jira organizes work as Issues inside Projects with a configurable Issue Type hierarchy (Epic, Story, Task, Bug, Subtask), customizable Workflows, and a REST API that supports high-throughput bulk imports. We extract from Project Drive via authenticated UI sessions, reconstruct Gantt task dependencies as Jira issue links (Finish-to-Start, Start-to-Start, etc.), and map budget and cost fields to a Jira-compatible strategy — either custom fields, a project-level description note, or an integration with a connected finance tool. Jira's project key system requires careful planning because keys cannot be reused or renamed after creation. Workflows, automations, and calendar sync rules from Project Drive do not migrate; we deliver a written inventory of each for the customer to rebuild in Jira's native workflow designer.
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 Project Drive 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.
Project Drive
Project
Jira
Project
1:1Project Drive Projects map directly to Jira Projects as the top-level container. We preserve project name, description, status (Active/Archived maps to Jira's Active/Archived), and creation timestamp. Jira project key must be decided before migration — keys are permanent and cannot be changed or reused after creation. We coordinate with the customer's Jira admin to define the key scheme during scoping.
Project Drive
Task
Jira
Issue (standard Issue Type)
1:1Project Drive Tasks map to Jira Issues. The standard Jira Issue Type (mapped as Story or Task during configuration) carries the task name as Summary, description as Description, assignee as Assignee, start date as Due Date or a custom start field, and status as Status within the configured Workflow. Task priority maps to Jira Priority values (Highest, High, Medium, Low, Lowest). Project Drive's task status values are mapped to Jira workflow statuses during schema configuration.
Project Drive
Subtask
Jira
Issue (Subtask Issue Type)
1:1Project Drive Subtasks nest under Tasks. We map them to Jira Subtask Issue Types with the Jira parent issue as the Parent Link. Jira requires the parent Issue to exist before the Subtask can be created, so we sequence the import: parent issues first, then subtasks. If the destination Jira project uses a simplified Issue Type scheme without Subtask enabled, we convert subtasks to linked Issues with a 'Subtask of' link instead.
Project Drive
Milestone
Jira
Fix Version (or Issue with milestone label)
lossyProject Drive Milestones are date-flagged markers in the Gantt view. We map them to Jira Fix Versions (Releases) when the milestone represents a deliverable checkpoint, or to Issues with a 'Milestone' label when it represents a tracked goal. The milestone name becomes the Fix Version name, and the milestone date becomes the Fix Version release date. We preserve the milestone relationship to parent tasks via the Fix Version field on the linked Issues.
Project Drive
Task Dependency
Jira
Issue Link
lossyProject Drive Gantt view displays task dependencies visually, but exported data may flatten these to ordering indices. We reconstruct dependency relationships from the Gantt visual layout and apply them as Jira Issue Links using the appropriate link type (Blocks, Is blocked by, Depends on, Follows, Precedes). Finish-to-Start is the most common; we infer the link direction from the Gantt arrow orientation in the export. We flag any ambiguous dependency directions for customer confirmation during scoping.
Project Drive
User / Assignee
Jira
User
1:1Project Drive Users and task assignees map to Jira User accounts by email match. We extract every distinct assignee from the task export and match against the Jira destination site's user list. Assignees without a matching Jira user go to a reconciliation queue for the customer's Jira admin to provision before record import. Jira's permission scheme assigns access per project, so we document the target project permissions per user during scoping.
Project Drive
Budget and Cost Fields
Jira
Custom Number Fields
lossyProject Drive stores budget and cost data as native project fields. Jira has no native financial fields, so we map these to custom Number fields (e.g., Budget_Amount__c, Actual_Cost__c, Estimated_Cost__c) that the customer configures in Jira before migration. We flag null values and discuss whether budget data should live in Jira custom fields, as a linked Confluence financial document, or in a connected finance tool (NetSuite, Everhour, etc.) during scoping.
Project Drive
Attachment
Jira
Attachment
1:1Project Drive file attachments on tasks and projects are exported as binary file blobs. We upload them to Jira as Issue Attachments using the Jira REST API. Original filename and content type are preserved. Jira imposes a 10MB per-file limit for attachments via the API (larger files require Jira's own upload endpoint). We flag any attachments exceeding this limit for manual handling or alternative storage.
Project Drive
Calendar Event
Jira
Not migrated
1:1Project Drive integrates with external calendars but does not expose calendar event objects in its export. Jira similarly does not expose calendar event data via its standard export. Calendar sync re-establishes post-migration through Jira's built-in calendar integration or a Marketplace app (e.g., Tempo Calendar or Structure). We do not migrate calendar entries; we flag this gap in the migration scope so the customer can plan re-sync with their calendar provider.
Project Drive
Project Status
Jira
Project status
1:1Project Drive project status values (Active, On Hold, Completed, Archived) map directly to Jira Project status. We preserve the status at migration time and note that Jira projects do not have a formal 'On Hold' status — projects are either Active or Archived. Projects on hold in Project Drive can be archived in Jira with a note, or the customer can use a Jira project category to group paused projects.
| Project Drive | Jira | Compatibility | |
|---|---|---|---|
| Project | Project1:1 | Fully supported | |
| Task | Issue (standard Issue Type)1:1 | Fully supported | |
| Subtask | Issue (Subtask Issue Type)1:1 | Fully supported | |
| Milestone | Fix Version (or Issue with milestone label)lossy | Fully supported | |
| Task Dependency | Issue Linklossy | Fully supported | |
| User / Assignee | User1:1 | Fully supported | |
| Budget and Cost Fields | Custom Number Fieldslossy | Mapping required | |
| Attachment | Attachment1:1 | Fully supported | |
| Calendar Event | Not migrated1:1 | Fully supported | |
| Project Status | Project status1:1 | 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.
Project Drive gotchas
No public API documented for bulk data export
Budget and cost fields require schema mapping at destination
Gantt sequencing does not always preserve inter-task dependency details
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
Source audit and Jira destination scoping
We extract all data from Project Drive via authenticated UI sessions: Projects, Tasks, Subtasks, Milestones, Users, Assignees, Attachments, Budget fields, and Gantt dependency ordering. We simultaneously audit the Jira destination site for existing project keys, user accounts, Issue Type schemes, custom field configurations, and workflow availability. We flag key collisions, missing Jira users, and any Jira edition constraints (e.g., custom fields available from Standard tier upward) before designing the mapping schema.
Schema design and Jira configuration
We design the Jira destination schema: project key assignment per Project Drive project, Issue Type scheme (Epic/Story/Task/Subtask), custom fields for budget and cost data, and Fix Versions for milestones. Jira project configuration is performed in a Sandbox or development environment first, then promoted to production. We coordinate with the customer's Jira admin to configure project permissions, notification schemes, and issue security schemes before data import begins.
Dependency reconstruction from Gantt data
We parse the Project Drive export to extract task ordering and dependency indicators from the Gantt view. We reconstruct typed Jira Issue Links (Blocks, Depends on, Follows) from the visual dependency arrows, inferring directionality and flagging any ambiguous or circular relationships for customer confirmation. The reconstructed dependency graph is validated against the source Gantt view before applying to Jira.
Sandbox migration and reconciliation
We run a full migration into the Jira destination site using production-like data volume. The customer's project manager and Jira admin reconcile record counts (Projects in, Issues in, Subtasks in, Users mapped), spot-check 20-30 issues against the Project Drive source, verify that milestone dates match Fix Versions, and validate that dependency links appear correctly in Jira's issue hierarchy. Any mapping corrections are documented and applied to the production migration plan.
Production migration in dependency order
We run production migration in record-dependency order: Jira Projects first, then Users (validated by the admin), Issues (parents before subtasks), Issue Links (after all issues exist), Fix Versions, Attachments (uploaded after parent Issues are created), and Budget custom fields last. Each phase emits a row-count reconciliation report before the next phase begins. Jira's Bulk API handles high-volume issue creation with rate-limit awareness and retry logic. Jira Data Center destinations use the REST API with equivalent batch chunking.
Cutover, validation, and workflow rebuild handoff
We freeze Project Drive writes during cutover, run a final delta migration of any records modified during the migration window, then mark Jira as the system of record. We deliver the Workflow and automation inventory document to the customer's Jira admin team with a recommended Jira Workflow configuration per project. We support a one-week hypercare window to resolve reconciliation issues. We do not rebuild Project Drive status-transition logic as Jira Workflows inside the migration scope; that is documented separately for the customer's admin or a Jira partner to configure.
Platform deep dives
Project Drive
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 Project Drive 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
Project Drive: Not publicly documented.
Data volume sensitivity
Project Drive 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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