Project Management migration

Migrate from Taiga to Microsoft Project

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

Taiga logo

Taiga

Source

Microsoft Project

Destination

Microsoft Project logo

Compatibility

82%

9 of 11

objects map 1:1 between Taiga and Microsoft Project.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Taiga to Microsoft Project is a migration from an agile-first platform to a scheduling-centric one. Taiga's flat object model (Projects containing Milestones containing User Stories containing Tasks) maps structurally to MS Project's task hierarchy with summary tasks acting as parent rows, but Taiga's Kanban swimlane layout has no native MS Project equivalent and must be rebuilt as task groupings or milestone flags post-migration. We extract Taiga data via paginated REST API calls using a 30-record loop per object type, parse the JSON export, resolve milestone references against task start and finish dates, and load into MS Project using the MPP file format or Project Online REST API. Wiki pages migrate as linked documents rather than inline wiki markup; Gantt chart visual layout is a display reconstruction that your PM team handles in MS Project views post-migration. Workflows, custom Taiga UI theme overrides, and Kanban board configurations do not migrate because MS Project Desktop does not expose these as API-accessible objects.

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

Taiga logo

Taiga

What's pushing teams away

  • The lack of a mature marketplace or plugin ecosystem means teams needing time tracking, resource management, or advanced reporting often outgrow Taiga and migrate to Jira or Linear.
  • Performance degrades noticeably on self-hosted instances with large projects, and the cloud-hosted option lacks enterprise-grade SLA guarantees and dedicated support tiers.
  • The API documentation is sparse and the record pagination limit of 30 per request makes automated migrations and integrations brittle without custom workaround code.
  • Teams needing native integration with CI/CD pipelines, feature flags, or customer success tooling find Taiga's ecosystem insufficient compared to platforms like Shortcut or Linear.
  • The roadmap cadence and community contribution model mean that bug fixes and feature requests move slowly, frustrating teams used to faster release cycles.

Choosing

Microsoft Project logo

Microsoft Project

What's pulling them in

  • Organizations already running Microsoft 365 and Azure AD adopt Microsoft PPM because it slots into existing identity, Teams, and SharePoint infrastructure without requiring a separate identity provider or SSO vendor.
  • Enterprise PMOs choose it for critical-path scheduling, baseline comparison, cross-project dependencies, and resource utilization reporting that standalone PM tools cannot replicate at this depth.
  • Project Online's integration with Power BI gives portfolio-level dashboards and cost-rollup reporting that satisfies executive governance requirements without third-party BI tooling.
  • Government, financial services, and healthcare organizations select it because FedRAMP, ISO 27001, and SOC 2 compliance certifications meet enterprise procurement requirements out of the box.
  • Large IT departments default to it as the market-leader in project portfolio management software, often driven by corporate licensing agreements that bundle it with other Microsoft 365 seats.

Object mapping

How Taiga objects map to Microsoft Project

Each row shows how a Taiga object lands in Microsoft Project, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Taiga

Project

maps to

Microsoft Project

Project

1:1
Fully supported

Taiga Projects map 1:1 to Microsoft Project files or Project Online projects. We extract the project name, description, creation date, and any project-level custom attributes from the JSON export and create a corresponding MS Project file (MPP) or Project Online project entry. Project-level wiki pages in Taiga are flagged for SharePoint document migration outside the standard scope because MS Project does not have a wiki object.

Taiga

Milestone / Sprint

maps to

Microsoft Project

Task (Milestone flag)

1:1
Fully supported

Taiga Milestones map to MS Project milestone tasks. The milestone name, start date, and finish date migrate, with the MS Project task set to the milestone flag. Where Taiga milestones contain user stories, we link those tasks as children of the milestone task using the WBS hierarchy. Sprint date ranges (start, finish) become task constraints or fixed-duration summary rows in MS Project depending on the customer's scheduling preference.

Taiga

Epic

maps to

Microsoft Project

Summary Task

1:1
Fully supported

Taiga Epics map to MS Project summary tasks at the top of the WBS hierarchy. We preserve the Epic color tag and description as custom fields (Text1 and Text2) in MS Project. Epic status (open, in progress, completed) maps to a custom Task Status field. If the destination project has multiple epics, we nest them as top-level summary rows with their user stories as indented children.

Taiga

User Story

maps to

Microsoft Project

Task

1:1
Fully supported

Taiga User Stories map to MS Project tasks. The story subject becomes the task name; description migrates to the task notes field in rich text. Story points (numeric) migrate to a custom Number field (StoryPoints__c). Taiga status (new, in progress, ready for test, completed) maps to a custom picklist field MS_StoryStatus. Assignee from Taiga maps to the MS Project resource assignment once the resource pool is configured.

Taiga

Task

maps to

Microsoft Project

Task

1:1
Fully supported

Taiga Tasks map directly to MS Project tasks. Task subject becomes task name. Taiga custom attributes on tasks (per-project, varying schema) are extracted and mapped to MS Project custom fields, with type conversion: text enums become picklists, dates become date fields, numeric values become number fields. Due date from Taiga maps to the MS Project task deadline or finish date depending on configuration.

Taiga

Issue

maps to

Microsoft Project

Task (with kind categorization)

1:1
Fully supported

Taiga Issues (standalone bugs and tracked work outside the sprint backlog) map to MS Project tasks with a custom IssueKind field carrying the Taiga issue type (bug, question, enhancement, others). Severity and priority from Taiga map to MS Project custom fields. Issues without a milestone reference are placed in an Unscheduled section at the bottom of the MS Project task list.

Taiga

Wiki Pages

maps to

Microsoft Project

SharePoint Document / Notes

1:1
Mapping required

Taiga wiki pages export as Markdown with a named page tree structure. We do not migrate wiki pages as a structured object because MS Project has no wiki object and Project Online's wiki relies on SharePoint. We export the Markdown content and deliver it as a folder of .md files with a filename matching the page tree path, for the customer to upload to the linked SharePoint document library or OneDrive. Links between wiki pages require manual re-linking post-migration.

Taiga

Custom Attributes

maps to

Microsoft Project

Custom Fields

lossy
Mapping required

Taiga custom attributes are defined per project on User Stories, Tasks, and Issues. We extract every distinct custom attribute across all projects, classify by data type (text, enum, number, date, checkbox), and create corresponding MS Project custom fields in the destination project. Enumerated values from Taiga become MS Project custom picklist entries. If the same custom attribute name exists across multiple Taiga projects with different value sets, we flag this for the customer's PM to consolidate or scope per project.

Taiga

Project Member / Role

maps to

Microsoft Project

Resource

1:1
Fully supported

Taiga project members map to MS Project resources. We extract the member name, email, and role name from Taiga. MS Project resources are created from the member list, with the Taiga role mapped to a custom Resource field (Role__c). MS Project resource calendars (working time, PTO) are not populated from Taiga because Taiga has no resource calendar data. We flag this as a manual configuration step for the customer's admin.

Taiga

Tag / Label

maps to

Microsoft Project

Custom Field or Flag

lossy
Fully supported

Taiga free-form tags on User Stories, Tasks, and Issues are extracted as string values. Tags that are used consistently (present on more than 5 artifacts) are migrated as a custom MultiValue text field in MS Project. Tags used inconsistently (ad-hoc labeling) are delivered as a reconciliation report for the customer's PM to decide whether to promote to a formal custom field or drop. MS Project does not have a native multi-select label system, so the custom field approach is the closest structural analog.

Taiga

Attachment

maps to

Microsoft Project

File Attachment on Task

1:1
Fully supported

Taiga stores file attachments as references with a media URL. If the Taiga instance is cloud-hosted and accessible via URL, we download the files and attach them to the corresponding MS Project task using the file attachment feature. For self-hosted Taiga, attachment URLs may point to internal storage paths that are not publicly accessible; in these cases we deliver a file manifest with the original file path and recommended upload instruction for the customer's admin.

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.

Taiga logo

Taiga gotchas

High

REST API hard-codes 30 records per page

High

Import only accepts Trello, Jira, Asana, and GitHub

Medium

Docker self-hosted v5 to v6 migration can lose data silently

Medium

Taiga export is instance-specific JSON, not portable CSV

Low

Custom CSS / taiga-ui v3 to v4 style overrides break after migration

Microsoft Project logo

Microsoft Project gotchas

High

Project for the web is being retired and merged into Microsoft Planner

Medium

Planner-tier portfolio features are incomplete despite Plan 5 labeling

Medium

Web app constraint controls are weaker than the Windows desktop client

High

Project requires a separate license not bundled with standard Microsoft 365

Medium

Project Online API is edition-gated and inconsistently documented

Pair-specific challenges

  • Taiga's 30-record page limit silently truncates large project exports

    Taiga's REST API returns a hard maximum of 30 records per request with no configurable page size. The community forum documents developers hitting this when listing all user stories in a project with more than 100 items. We handle this by implementing cursor-based looping over each object type (Projects, Milestones, Epics, User Stories, Tasks, Issues) and accumulating results until the API returns an empty page. Without explicit loop handling, bulk exports silently drop records beyond page 30, resulting in incomplete milestone and sprint data in the MS Project target.

  • Kanban swimlanes have no structural equivalent in MS Project

    Taiga's Kanban board organizes tasks by swimlane and status column. MS Project has no swimlane concept; tasks exist in a flat or hierarchical list with dependencies and timelines. We cannot map Kanban swimlanes to MS Project task groups in a way that preserves the board's visual layout. We extract the status column assignment as a custom field on each task (KanbanStatus__c) and deliver a swimlane-to-grouping mapping guide for the customer's PM to reconstruct as MS Project task groupings or custom views post-migration. This is a manual rebuild step, not a data migration item.

  • Taiga wiki Markdown has no landing object in MS Project

    Taiga projects commonly contain significant wiki content including project charters, meeting notes, and technical documentation stored as Markdown pages with internal links. MS Project does not have a wiki object, and Project Online stores project documentation in SharePoint. We export wiki pages as a structured folder of .md files organized by the page tree path. The customer uploads these to the linked SharePoint site post-migration. We do not convert Markdown to a specific SharePoint format or rebuild internal wiki links; that requires a separate documentation migration engagement.

  • MS Project task mode (auto vs manual scheduling) affects date behavior

    MS Project supports both auto-scheduled and manually scheduled task modes. Tasks created via our import default to auto-scheduled, meaning MS Project recalculates start and finish dates based on dependencies and resource calendars. If Taiga tasks had fixed due dates that were entered manually, this behavior change can shift imported task dates unexpectedly. We set all imported tasks to auto-scheduled by default but flag the manual scheduling option for the customer's PM to apply to any fixed-date items during review.

  • Self-hosted Taiga v5 to v6 Docker upgrade can destroy data before export

    Community posts document that upgrading from Taiga Docker v5 to v6 on a self-hosted instance can result in zero visible data and no login access with no error messages in the container logs. If the customer is on a self-hosted v5 instance, we strongly recommend exporting the JSON before performing any upgrade. We can extract data from a live v5 instance via the REST API; however, if the instance is already broken, recovery may require server backup restoration. We validate record counts per object type against the JSON dump before beginning the load into MS Project.

Migration approach

Six steps for a successful Taiga to Microsoft Project data migration

  1. Taiga instance audit and API pagination test

    We audit the source Taiga instance: cloud-hosted vs self-hosted, version (v5 or v6), active project count, and per-project artifact volumes for User Stories, Tasks, Issues, and Milestones. We run a pagination test against the REST API for each object type to confirm the 30-record ceiling and estimate total page count. For self-hosted instances, we verify the instance is accessible and that attachment media URLs resolve before beginning extraction. The audit output is a written data inventory with record counts per object per project.

  2. MS Project environment preparation

    We confirm the destination MS Project environment: desktop MPP files or Project Online, the target Plan tier (Plan 3 or Plan 5), and whether a SharePoint or OneDrive for Business site is linked for document storage. We pre-create the custom fields required by the mapping (StoryPoints__c, KanbanStatus__c, IssueKind__c, EpicColor__c, TaigaRole__c) and configure the resource sheet from the Taiga member list. If the destination is Project Online, we provision the project structure via the Project Online REST API; if desktop MPP, we prepare a master template file.

  3. Data extraction with pagination loop

    We extract all objects in dependency order: Projects first, then Milestones (so sprint date ranges are available for task date resolution), then Epics, then User Stories, then Tasks, then Issues. Each object type is retrieved with a cursor-based loop that accumulates pages until the API returns an empty result set, bypassing Taiga's 30-record ceiling. Custom attributes are extracted alongside their parent objects. Attachments are retrieved via the media URL for each attachment reference. All data is written to an intermediate JSON structure that preserves parent-child relationships and original Taiga IDs.

  4. Transformation and date conflict resolution

    We transform the intermediate JSON into MS Project import format. The key transformation steps are: Epic rows become summary tasks; User Stories become tasks with story points in a custom number field; Taiga Milestones become milestone-flagged tasks; task due dates are resolved against the containing Milestone's date range; assignee resolution maps Taiga member names to the pre-built MS Project resource sheet. We flag any tasks where Taiga's due date falls outside the sprint date range for manual PM review. Wiki pages are converted to Markdown files in a folder tree matching the Taiga page structure.

  5. Load and reconciliation

    We load the transformed tasks into the MS Project file or Project Online project. Tasks are inserted in WBS order (Epic summary, User Story task, child Tasks indented). We reconcile record counts: Epics in equals summary task count; User Stories in equals standard task count; Milestones in equals milestone task count. For Project Online, we use the REST API with batch operations; for desktop MPP, we use the Microsoft Project Primary Interop Assembly or direct MPP write. We validate that parent-child WBS hierarchy is intact and that task dates fall within the project date range.

  6. Cutover, attachment upload, and swimlane handoff

    We freeze writes to the source Taiga instance during the cutover window. Any records modified during migration are extracted as a delta and loaded. We upload attachment files to the MS Project file or linked SharePoint location per the attachment manifest. We deliver a written swimlane reconstruction guide mapping each Taiga Kanban column and swimlane to MS Project custom field values and recommended view configurations (grouping, filtering, Gantt bar formatting). Gantt chart visual layout is not migrated; we provide step-by-step instructions for the customer's PM to apply MS Project formatting (bar styles, timeline, critical path highlighting) to match the original Taiga board appearance. We do not rebuild Taiga workflows as MS Project; there is no equivalent automation model in MS Project Desktop.

Platform deep dives

Context on both ends of the pair

Taiga logo

Taiga

Source

Strengths

  • Free and open-source under AGPL-3.0 with no per-seat licensing constraints on self-hosted deployments.
  • Native dual-mode support for both Scrum and Kanban in a single project without requiring a plugin.
  • Clean, minimal UI that is faster to onboard non-technical stakeholders compared to Jira.
  • Active community forum and documentation covering self-hosted Docker deployment and upgrades.
  • Built-in import pipeline for Trello, Jira, Asana, and GitHub as source platforms.

Weaknesses

  • No native bulk export API — all data retrieval goes through paginated REST calls with a low default page size.
  • Sparse third-party integrations and no Zapier/Make connector, limiting automated workflow options.
  • Custom attribute system varies per project, requiring field-level mapping work in any migration to a structured target.
  • No native time-tracking module — teams needing billable hours must use third-party tools or the wiki as a workaround.
  • Support on the free cloud tier is community-only, which can delay resolution of data-loss incidents during migration.
Microsoft Project logo

Microsoft Project

Destination

Strengths

  • Deep critical-path scheduling with baseline comparison and cross-project dependency tracking unmatched by lighter PM tools.
  • Native Azure AD authentication, Teams integration, and Power BI reporting sit on infrastructure enterprises already license and manage.
  • Enterprise governance controls including demand intake workflows, resource request approval, and portfolio-level capacity analysis.
  • Supports both Waterfall and Agile methodologies within the same project, accommodating hybrid delivery teams.
  • Scalable from Project Plan 1 for small teams to Project Server on-premises for regulated industries with strict data-sovereignty requirements.

Weaknesses

  • Ease-of-use scores trail the category average by a wide margin; onboarding friction frustrates new users consistently across G2 and Capterra reviews.
  • Pricing ranks 42nd of 49 tools in its category — the total cost of ownership including IT administration and training is rarely recovered for small or mid-market teams.
  • No built-in client portal, external stakeholder sharing, or proofing workflow, limiting use cases to internal PMO environments only.
  • The web interface (Project for the web / Planner Premium) has materially weaker constraint controls and resource auto-leveling than the Windows desktop client.
  • Project for the web is being consolidated into Microsoft Planner, creating uncertainty about which product tier will host project portfolio data long-term.

Complexity grading

How hard is this migration?

Standard Project Management migration. 2 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 Taiga and Microsoft Project.

  • Object compatibility

    B

    2 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

    Taiga: Not publicly documented in official docs.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Taiga to Microsoft Project 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 Taiga to Microsoft Project data migrations

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

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Most migrations land between three and five weeks for teams with under 5 projects and under 10,000 total artifacts (stories, tasks, issues). Migrations with large self-hosted Taiga instances, complex milestone-to-sprint date ranges requiring conflict resolution, many custom attributes across projects, or multiple projects needing resource pool consolidation move to six to ten weeks. The Taiga REST API pagination loop adds processing time proportional to total record volume but does not significantly extend the timeline on its own.

Adjacent paths

Related migrations to explore

Ready when you are

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