Project Management migration

Migrate from Project Drive to Jira

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

Project Drive logo

Project Drive

Source

Jira

Destination

Jira logo

Compatibility

70%

7 of 10

objects map 1:1 between Project Drive and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Project Drive logo

Project Drive

What's pushing teams away

  • The first-timer experience is steep — reviewers consistently report needing dedicated time to become comfortable with the platform.
  • Pricing is described as on the higher side for the feature set, prompting teams to evaluate lower-cost alternatives.
  • Feature gaps in integrations mean teams using other tools must resort to manual handoffs or workarounds.
  • The platform is less user-friendly than competitors for onboarding, creating friction when adding new team members quickly.

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 Project Drive objects map to Jira

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

maps to

Jira

Project

1:1
Fully supported

Project 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

maps to

Jira

Issue (standard Issue Type)

1:1
Fully supported

Project 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

maps to

Jira

Issue (Subtask Issue Type)

1:1
Fully supported

Project 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

maps to

Jira

Fix Version (or Issue with milestone label)

lossy
Fully supported

Project 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

maps to

Jira

Issue Link

lossy
Fully supported

Project 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

maps to

Jira

User

1:1
Fully supported

Project 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

maps to

Jira

Custom Number Fields

lossy
Mapping required

Project 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

maps to

Jira

Attachment

1:1
Fully supported

Project 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

maps to

Jira

Not migrated

1:1
Fully supported

Project 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

maps to

Jira

Project status

1:1
Fully supported

Project 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.

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.

Project Drive logo

Project Drive gotchas

High

No public API documented for bulk data export

Medium

Budget and cost fields require schema mapping at destination

Medium

Gantt sequencing does not always preserve inter-task dependency details

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

  • Project Drive has no public API — export is UI-based

    Project Drive does not publish a developer-facing REST API for automated data extraction. All migration work requires navigating the application UI to export structured data manually or via CSV downloads. We handle this by scripting authenticated UI-based extraction sessions, but export volume and rate depend on the application's built-in export functionality rather than a controlled API. This adds timeline risk on large accounts with hundreds of projects and thousands of tasks. We mitigate this by batching export requests, prioritizing high-volume objects (Tasks) first, and building in buffer time for re-extraction if export jobs time out or produce partial files.

  • Jira project keys are permanent and cannot be reused

    Jira project keys are immutable after creation and cannot be renamed, deleted and recreated with the same key, or merged. If a Project Drive project name conflicts with an existing Jira project key in the destination site, we must choose an alternative key at migration time. We address this during scoping by auditing the Jira destination site for existing project keys and proposing a key scheme that avoids collisions. If the customer intends to consolidate two Project Drive instances into one Jira site, key conflicts are likely and require careful coordination before migration begins.

  • Gantt dependency ordering may not export as explicit links

    Project Drive displays task relationships visually in Gantt view, but the exported data may present these as ordering indices rather than typed dependency declarations. Jira requires explicit issue links (Blocks, Depends on, Follows) to establish dependency tracking. We reconstruct these links from the Gantt visual layout by inferring the dependency direction from arrow orientation and applying the appropriate Jira link type. Ambiguous or circular dependencies are flagged for customer confirmation. Teams should review the reconstructed dependency graph in the destination before treating it as authoritative.

  • Budget and cost fields require a Jira-compatible strategy

    Project Drive stores budget and cost data as native project fields. Jira does not have a native financial tracking schema. We map budget fields to custom Number fields that the customer's Jira admin configures before migration. However, Jira's custom field system does not enforce financial data types or decimal precision in the same way Project Drive does. We recommend confirming the precision requirements (currency symbol, decimal places) during scoping and documenting whether financial data will live in Jira custom fields, a linked Confluence page, or a connected finance app like NetSuite or Everhour. This decision affects the migration mapping and must be made before data transfer begins.

  • Workflows and automations do not migrate between platforms

    Project Drive task status changes are internal state transitions without a configurable workflow engine. Jira uses a Status-to-Status workflow model with transitions, validators, and post-functions that must be configured per project. We do not migrate workflows as code because there is no direct equivalence between the two models. We deliver a written inventory of every Project Drive task status value, the transitions between them, and the conditions under which each transition occurs, mapped to a recommended Jira Workflow configuration. The customer's Jira admin or a Jira partner rebuilds the workflow post-migration. Project Drive calendar sync rules and any integration-based automations similarly do not migrate and require rebuilding in Jira or a connected tool.

Migration approach

Six steps for a successful Project Drive to Jira data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Project Drive logo

Project Drive

Source

Strengths

  • Native Gantt chart view gives visual project sequencing without a separate scheduling tool.
  • Structured task hierarchy with cross-functional team assignment reduces ownership ambiguity.
  • Built-in budget and cost fields align project management with financial oversight in one interface.
  • Calendar sync for scheduling meetings and task deadlines from within the platform.

Weaknesses

  • First-timer onboarding is not user-friendly; teams report a learning curve before becoming productive.
  • Pricing is considered high relative to competitors for the feature set offered.
  • Limited documented API access makes programmatic export and integration non-standard.
  • Fewer integrations compared to established PM platforms like Asana, Monday.com, or Smartsheet.
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?

Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

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

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • 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

    Project Drive: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Project Drive 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 Project Drive to Jira data migrations

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

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Most migrations land between three and five weeks for accounts with up to 20 projects and 5,000 tasks. Migrations with larger accounts (50+ projects, 15,000+ tasks, deep subtask hierarchies), Jira Data Center destinations, or multiple budget field variants move to eight to twelve weeks because of Jira API batch chunking, Jira Data Center authentication overhead, Gantt dependency reconstruction, and the Jira workflow configuration scope. We build a per-phase reconciliation checkpoint into every migration so the customer can validate record counts before cutover.

Adjacent paths

Related migrations to explore

Ready when you are

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