Project Management migration

Migrate from Ganttic to Microsoft Project

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

Ganttic logo

Ganttic

Source

Microsoft Project

Destination

Microsoft Project logo

Compatibility

45%

5 of 11

objects map 1:1 between Ganttic and Microsoft Project.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Ganttic to Microsoft Project is a shift from a resource-centric scheduling model to a task-centric project management model. Ganttic treats Resources as the primary planning entity — people, equipment, rooms, and vehicles each carry their own Data Fields and can be grouped by any attribute — while MS Project treats Tasks as the backbone, with resources assigned to tasks through assignment units. We reconcile that model difference during scoping: we map Ganttic resource pools to MS Project resource pools, resolve resource assignment conflicts where a Ganttic resource spans multiple concurrent bookings, and convert Ganttic's date-type Data Fields used as Milestones into MS Project native Milestone tasks with summary rollup. Ganttic's nine Data Field types (List, Multi-Select, Number, Text, Date, and others) map to MS Project custom fields with type-aware conversion; picklist values from Ganttic List and Multi-Select fields are pre-seeded into MS Project lookup tables before record import. Custom Views, shift operations, and any Ganttic-specific workflow logic do not migrate; we deliver a written inventory of these as a configuration handoff for the customer's PMO.

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

Ganttic logo

Ganttic

What's pushing teams away

  • The user interface is described as clumsy by some reviewers, making navigation unintuitive compared to competitors like Wrike
  • Limited review volume (29 G2 reviews) makes it hard to gauge long-term satisfaction and support quality before committing
  • Teams outgrow Ganttic as they scale and need stronger integrations, advanced reporting, or enterprise features not fully available
  • API documentation is sparse and rate limits are not publicly documented, creating friction for automated workflows and migration tooling
  • Mid-market focus means large enterprises with complex org structures find the platform insufficient for their needs

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 Ganttic objects map to Microsoft Project

Each row shows how a Ganttic 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.

Ganttic

Project

maps to

Microsoft Project

Project (MPP or Project for the Web)

1:1
Fully supported

Ganttic Projects map directly to Microsoft Project projects. Project name, start date, finish date, and time period configuration migrate as the project baseline. Ganttic project-level Data Fields map to MS Project custom Project fields (Field type = Project Custom Fields). We determine during scoping whether the destination is MS Project desktop (MPP file format) or Project for the Web (cloud), which affects the file delivery format and which custom field scope applies.

Ganttic

Task

maps to

Microsoft Project

Task

1:1
Fully supported

Ganttic Tasks map to MS Project tasks with Name, Start, Finish, Duration, and Percent Complete preserved. Task dependencies from Ganttic's predecessor-successor relationships map to MS Project Task Dependencies (Finish-to-Start, Start-to-Start, Finish-to-Finish, Start-to-Finish). Task-level Data Fields migrate to MS Project Task Custom Fields. We flag any Ganttic Tasks with mandatory Data Fields to ensure required validation is not enforced on MS Project import unless the customer explicitly requests it.

Ganttic

Resource

maps to

Microsoft Project

Resource (Generic or Material)

1:1
Fully supported

Ganttic Resources map to MS Project Resources. Ganttic distinguishes resource types (People, Equipment, Rooms, Vehicles, Other) — we map People to MS Project Work resources with Max Units; Equipment, Rooms, Vehicles, and Other map to MS Project Material resources or Generic resources with a custom resource type field. Resource Data Fields migrate as MS Project Resource Custom Fields. Active resources migrate; archived resources are excluded from the standard migration unless the customer requests otherwise, which reduces Ganttic plan cost post-migration.

Ganttic

Milestone (as Data Field)

maps to

Microsoft Project

Milestone Task

lossy
Fully supported

Ganttic implements Milestones as date-type Data Fields attached to Projects rather than as a distinct object type. We extract every Ganttic Data Field where field_type equals 'Date' and the field name contains 'milestone', 'milestone', or is flagged as a milestone indicator during discovery. These convert to MS Project Milestone tasks (Duration = 0) with the milestone date as the task Start and Finish. We preserve the original Ganttic Data Field label as the MS Project task Name.

Ganttic

Project Data Field

maps to

Microsoft Project

Project Custom Field

lossy
Fully supported

Ganttic's nine Data Field types map to MS Project custom field types: Ganttic Text maps to Text, Number to Number, List to Outline Code or enterprise custom field with lookup table, Multi-Select to Text or multi-value outline code, Date to Date, and Boolean/Flag to Flag. We build the MS Project enterprise custom field schema during the configuration phase, including lookup table creation for List and Multi-Select fields, before any project records import.

Ganttic

Task Data Field

maps to

Microsoft Project

Task Custom Field

lossy
Fully supported

Task-level Data Fields from Ganttic migrate to MS Project Task Custom Fields following the same type-mapping rules as Project Data Fields. We pre-create the custom field definitions in MS Project before task import. Any picklist values from Ganttic List and Multi-Select fields are seeded into the MS Project lookup tables during configuration. Ganttic's per-user visibility rules on Data Fields do not migrate; MS Project handles field visibility through Views, and we configure view-level custom field display during migration.

Ganttic

Resource Data Field

maps to

Microsoft Project

Resource Custom Field

lossy
Fully supported

Resource Data Fields from Ganttic (commonly used for department, skillset, location, role, cost rate) map to MS Project Resource Custom Fields. We map the field values to the appropriate MS Project resource type: Text fields for role or department, Cost fields for hourly rate, and Flags for skill or certification flags. Resource grouping hierarchies from Ganttic map to MS Project Resource Groups or to a custom resource-level text field that replicates the grouping structure.

Ganttic

Resource Grouping

maps to

Microsoft Project

Resource Group or Custom Field

1:1
Mapping required

Ganttic allows resources to be grouped by any Data Field value, including nested groupings (e.g., Department > Location > Team). We preserve this structure by mapping the top-level group to MS Project Resource Groups and nested groups to a custom Resource Text field formatted with the full hierarchy path. We capture the grouping depth during discovery and present the mapping strategy (flat group vs hierarchical text field) as a choice to the customer before migration.

Ganttic

Task Assignment

maps to

Microsoft Project

Resource Assignment (Assignment Units, Work)

lossy
Fully supported

Ganttic assigns resources to tasks directly; MS Project assigns resources to tasks with assignment units and work values. We convert Ganttic's resource booking percentage (e.g., 50% on a task) to MS Project assignment Max Units. Where Ganttic records a resource booking without explicit hours, we estimate work using the resource's standard calendar hours multiplied by the task duration and assignment percentage. We flag any Ganttic booking where the resource is assigned to more than one overlapping task, as this requires leveling review in MS Project.

Ganttic

Report (CSV export)

maps to

Microsoft Project

Report (external)

1:1
Fully supported

Ganttic Reports are exported as CSV during discovery to capture calculated metrics and summaries that exist only in the report views. We do not migrate Ganttic Reports as native MS Project reports — MS Project reports are rebuilt in the Microsoft 365 reporting stack (Power BI, Microsoft Project for the Web built-in reports) using the migrated data. We deliver the CSV report data as a supplemental dataset that the customer's analyst imports into Power BI or Excel for post-migration reconciliation.

Ganttic

Custom View

maps to

Microsoft Project

View (configuration)

lossy
Fully supported

Ganttic Custom Views define per-view time periods, groupings, and filtering criteria that do not have a direct MS Project equivalent. We export View configurations as part of discovery and map them to MS Project Views (Gantt Chart, Task Sheet, Resource Sheet, Calendar) and grouping/sorting settings. Timeline zoom levels and custom columns from Ganttic views map to MS Project view column configurations. The customer rebuilds any Ganttic-specific filtering as MS Project grouped views post-migration.

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.

Ganttic logo

Ganttic gotchas

Medium

Data Field type mapping requires pre-seeded picklist values

Low

Resource-based pricing means only active resources cost money

Medium

Project shifting cannot be automatically reversed

High

API rate limits are not publicly documented

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

  • Milestones are Data Fields, not objects, requiring structural conversion

    Ganttic stores milestones as date-type Data Fields attached to Projects rather than as a distinct object type. MS Project requires milestones to be tasks with zero duration. We extract all Ganttic Data Fields flagged as milestones during discovery, convert them to MS Project milestone tasks, and preserve the original milestone name and date. Migrations that skip this step lose milestone records entirely or create task records with dates that do not roll up to the project summary. We validate milestone count and dates in MS Project after import against the original Ganttic Data Field export.

  • Ganttic API rate limits are undocumented — we use conservative adaptive throttling

    Ganttic's Help Center documents the API endpoints but does not publish rate limits or quota thresholds. A large export job could hit undocumented throttling and fail silently, resulting in partial data extraction. We implement adaptive throttling with exponential backoff on all Ganttic API calls, starting at 10 requests per minute and ramping up only when we observe actual response headers. For migrations exceeding 200 resources or 500 tasks, we recommend CSV export as the primary extraction path, with API used for delta validation and record-level reconciliation.

  • Ganttic shift operations cannot be reversed, so we isolate the migration workspace

    Ganttic's shift feature moves an entire Project along with its Tasks and Milestones on the timeline and cannot be automatically reverted (per Ganttic documentation, it must be undone Task by Task manually). When migrating project timelines to MS Project, we export the full project structure without modifying Ganttic data. We run migration validation in parallel (MS Project populated, Ganttic unchanged) until the customer signs off on cutover. This prevents any timeline shift in Ganttic during the migration window that could not be reversed.

  • MS Project desktop and web versions have different custom field scope limits

    Microsoft Project Plan 1 and Project for the Web support fewer custom field types and enterprise custom fields than MS Project desktop (MPP). If the destination includes both desktop users (requiring MPP file delivery) and web users (Project for the Web), we must split the migration: the core project structure (Tasks, Resources, Assignments, Dependencies) generates a valid MPP file, while custom fields are scoped to the most restrictive target. We identify the minimum common custom field set during scoping to ensure both delivery paths are satisfied without requiring the customer to upgrade to a higher Project tier.

Migration approach

Six steps for a successful Ganttic to Microsoft Project data migration

  1. Discovery and extraction

    We audit the Ganttic account across active Resources, Projects, Tasks, Data Fields (all nine types), Resource Groupings, and any Milestone-flagged Data Fields. We export Reports as CSV to capture calculated metrics. We assess picklist value volume per List and Multi-Select field. We also identify archived Resources that can be excluded from migration to reduce post-migration Ganttic plan cost. The discovery output is a written migration scope document with record counts per object type, Data Field type inventory, and a recommendation on MS Project delivery format (MPP desktop, Project for the Web, or both).

  2. Schema design and custom field creation

    We design the MS Project custom field schema before any data import. This includes mapping Ganttic's nine Data Field types to MS Project custom field types, creating lookup tables for List and Multi-Select values, designing the resource grouping strategy (MS Project Groups vs hierarchical text field), and configuring Milestone conversion rules. If the destination includes both MS Project desktop and Project for the Web, we define the minimum common custom field set and flag any Ganttic fields that require a higher Project tier to support. Schema is validated in a test environment before production delivery.

  3. Resource reconciliation

    We extract every Ganttic Resource and map them to MS Project Resources by type (Work, Material, or Generic). We identify resources assigned to multiple overlapping tasks and flag these for MS Project resource leveling review. We identify archived Ganttic Resources as candidates for exclusion. We also resolve any Ganttic Resource Grouping hierarchies and map them to the chosen MS Project grouping strategy. Resource calendars migrate as MS Project resource calendars where the Ganttic resource has calendar exceptions (PTO, holidays, availability windows).

  4. Project and task import in dependency order

    We run project import in record-dependency order: Resources (first, as the resource pool), then Projects with project-level Data Fields, then Tasks with task-level Data Fields and dependencies, then Milestones (converted from date-type Data Fields), then Resource Assignments with assignment units resolved. Each phase emits a row-count reconciliation report. We validate task dependencies (predecessor-successor chains) in MS Project against the original Ganttic dependency graph. We run MS Project resource leveling after assignment import to surface any over-allocated resources from the Ganttic booking model.

  5. Custom field population and picklist seeding

    After the base project structure is validated in MS Project, we populate custom fields in type-aware batches. List and Multi-Select values are seeded into MS Project lookup tables before record import so that no record fails validation due to an undefined picklist option. We run a field-level spot check comparing 25-50 random Ganttic Data Field values against their MS Project custom field equivalents. We validate milestone dates (Start = Finish = milestone date) and confirm that milestone tasks appear with diamond indicators in the MS Project Gantt chart.

  6. Cutover, delta validation, and configuration handoff

    We freeze Ganttic writes during cutover and run a final delta migration of any records modified during the migration window. We deliver the project in the agreed format (MPP file for desktop, cloud import for Project for the Web, or both). We deliver the Custom View inventory document and Resource Grouping strategy as configuration handoff items for the customer's PMO. We do not rebuild Ganttic Custom Views as MS Project views; we document the equivalent view configuration and the customer or a Microsoft partner implements them. We support a one-week hypercare window for reconciliation issues.

Platform deep dives

Context on both ends of the pair

Ganttic logo

Ganttic

Source

Strengths

  • Resource-based pricing aligns cost with actual usage — archived resources do not count toward billing
  • Unlimited users across all plans means no per-seat cost friction when scaling teams
  • Flexible Data Field system with nine types and no required fields suits diverse industries
  • Visual Gantt scheduling with drag-and-drop makes capacity conflicts easy to spot
  • CSV import and export for Resources, Tasks, Projects, and Data Fields supports data portability

Weaknesses

  • Sparse public API documentation and undocumented rate limits complicate automated migrations
  • Clumsy UI reported by some reviewers; less intuitive than competitors like Wrike
  • Small review volume (29 G2 reviews) makes it difficult to assess support quality reliably
  • Limited enterprise feature set causes some mid-market teams to outgrow the platform
  • Shift operations (moving project timelines) cannot be automatically reverted in Ganttic
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. 1 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 Ganttic and Microsoft Project.

  • Object compatibility

    B

    1 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

    Ganttic: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Ganttic 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 Ganttic to Microsoft Project data migrations

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

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Most migrations land between three and five weeks for accounts under 200 Resources, 30 Projects, and 500 Tasks with no complex picklist sets. Migrations with nested resource groupings, milestone-heavy project portfolios (over 50 milestones), large Data Field picklist value sets (over 50 options per List field), or both MS Project desktop and web delivery targets move to eight to twelve weeks because of custom field schema design, lookup table seeding, and MS Project resource leveling review between import batches.

Adjacent paths

Related migrations to explore

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