Project Management migration

Migrate from Antura to monday Work Management

Field-level mapping, validation, and rollback between Antura and monday Work Management. We move data and schema; workflows are rebuilt natively in monday Work Management.

Antura logo

Antura

Source

monday Work Management

Destination

monday Work Management logo

Compatibility

75%

9 of 12

objects map 1:1 between Antura and monday Work Management.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Antura lacks a public API, which means every migration proceeds through CSV export from the application UI followed by data transformation into monday.com's board-item-column model. We guide clients through Antura's export process, chunk large datasets for processing, and discover the active custom field schema manually during scoping because Antura exposes no metadata API for automated introspection. We map Antura Projects to monday.com Boards, Sub-projects to Board Groups, and Tasks to Board Items with status, assignee, date, and description columns. Resource allocations from Antura require custom person and formula columns in monday.com since the platform lacks native capacity planning. Portfolio hierarchy flattens into monday.com's workspace and board structure. We do not migrate automations or workflows; we deliver a written inventory for the customer admin to rebuild in monday.com's Automation Center.

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

Antura logo

Antura

What's pushing teams away

  • Limited international documentation and English-language support creates friction for non-Swedish teams during onboarding and ongoing administration.
  • Smaller review presence on English-language platforms like G2 and Capterra makes independent evaluation difficult compared to globally dominant alternatives.
  • Organizations outgrowing Swedish market positioning may find fewer integration options with non-Scandinavian enterprise systems.
  • Feature depth in portfolio and resource management may exceed needs for smaller teams, prompting migration to simpler tools.
  • Lack of publicly documented API capabilities limits automation potential for organizations with sophisticated integration requirements.

Choosing

monday Work Management logo

monday Work Management

What's pulling them in

  • Lowest onboarding friction of any mid-market PM tool — drag-and-drop boards and colorful UI mean non-technical team members contribute from day one without training.
  • Highly customizable board structure lets teams model their actual workflow rather than forcing a predefined template onto their process.
  • Generous free forever plan with two seats lets small teams or solo users validate the platform before committing budget or migrating data from elsewhere.
  • Integrations with Slack, Zoom, Google Drive, and CRM tools keep monday.com as a coordination hub rather than requiring teams to switch context constantly.
  • Multiple view modes — Kanban, Calendar, Gantt, Map, Chart — give different team members the visualization they prefer without switching tools.

Object mapping

How Antura objects map to monday Work Management

Each row shows how a Antura object lands in monday Work Management, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

Antura

Project

maps to

monday Work Management

Board

1:1
Fully supported

Antura Projects map directly to monday.com Boards. We preserve project status workflow, dates, budgets, and responsible owners as board metadata and configuration. The board name comes from the Antura project name, and we set the board's workspace during import based on whether the Antura project belongs to a portfolio group.

Antura

Sub-project

maps to

monday Work Management

Board Group

1:1
Fully supported

Antura Sub-projects nest under parent Projects and inherit portfolio-level metadata. We map these to monday.com Groups within the parent Board, preserving the sub-project name, status, dates, and owner as group-level column data. The parent-child relationship is maintained by placing both in the same Board with the parent Project as the board root.

Antura

Task

maps to

monday Work Management

Board Item

1:1
Fully supported

Antura Tasks map to monday.com Board Items. We preserve task status, assignees, dates, and descriptions as typed columns in the destination board. Antura's flat task structure under Projects means we do not encounter subtask nesting; any parent-child task relationships in Antura require manual flagging during scoping because monday.com Groups do not support hierarchical item nesting natively.

Antura

Resource

maps to

monday Work Management

Person Column

1:1
Fully supported

Antura Resources represent employees with capacity data, skills, and cost rates. We map the resource name and email to monday.com's Person column type. Capacity percentages and utilization data have no native monday.com equivalent; we create formula columns or numeric columns to capture utilization percentages, and note that cost rate fields require a numeric column with manual configuration since monday.com lacks a native cost-rate field type.

Antura

Resource Allocation

maps to

monday Work Management

Person Column + Numeric Column

1:1
Fully supported

Antura Resource Allocations link a Resource to a Project with an allocation percentage. We preserve these as Person column assignments (the resource) paired with a numeric column (the percentage) on each board item representing the work package. This is a configuration workaround because monday.com has no native allocation object.

Antura

Risk

maps to

monday Work Management

Board Item with Custom Columns

1:1
Fully supported

Antura Risks track severity, probability, owner, and mitigation fields. We map these to monday.com Board Items using status, numeric, and person columns for the risk attributes. The risk description and mitigation notes map to a text column. We flag that monday.com has no native risk object, so risk data lives alongside project items on the same board and may require a separate board for organizations with dedicated risk registers.

Antura

Issue

maps to

monday Work Management

Board Item with Custom Columns

1:1
Fully supported

Antura Issues share a similar structure to Risks with severity, owner, and status fields. We map Issues to monday.com Board Items identically to Risks, using status columns for issue state and priority, person columns for the assigned owner, and text columns for the issue description and resolution notes.

Antura

Milestone

maps to

monday Work Management

Date Column with Status Column

1:1
Fully supported

Antura Milestones are date-driven markers within Projects with optional description fields. We map milestone dates to monday.com Date columns and milestone names to a text column. Multiple milestones per project may require a dedicated sub-board or a milestone-tracking column set because monday.com treats milestones as date markers rather than discrete objects.

Antura

Portfolio

maps to

monday Work Management

Workspace + Board

1:many
Fully supported

Antura Portfolios group Projects for strategic oversight with priority, status, and strategic alignment fields. Monday.com has no native portfolio hierarchy; we flatten the structure by creating a Workspace per Antura Portfolio and placing project boards within that workspace. Portfolio-level priority and strategic alignment fields migrate to a metadata board or text columns on individual project boards.

Antura

Cost Record

maps to

monday Work Management

Numeric Columns

lossy
Fully supported

Antura Cost records include estimates, budgets, actuals, and forecasts per Project. We map these to monday.com numeric columns for budget, actual, and variance tracking. Multi-currency handling requires exchange rate configuration at migration time and we note that monday.com does not support native multi-currency; the customer configures currency display at the account level before migration begins.

Antura

Time Entry

maps to

monday Work Management

Board Item with Date and Person Columns

1:1
Fully supported

Antura Time Entries record hours spent by Resources on Tasks or Projects with date and description. We map these to monday.com items using the date column for the entry date, a number column for hours, and the person column for the resource. Note that monday.com's native time tracking (available on Pro and above) is item-level rather than cross-project; organizations with complex time tracking needs may require a separate time-tracking board as a workaround.

Antura

Custom Field

maps to

monday Work Management

Board Column

lossy
Fully supported

Antura supports organization-specific custom fields across Projects, Tasks, and Resources. We discover the active custom field schema during scoping by exporting field lists from Antura's admin interface, then map each to monday.com column types: text fields to Text columns, numeric fields to Number columns, date fields to Date columns, and dropdown fields to monday.com Status or Dropdown columns. The mapping is board-specific because monday.com columns are defined per board rather than organization-wide.

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.

Antura logo

Antura gotchas

Medium

Custom field schema discovery requires manual scoping

High

No public API documentation for bulk export

Low

Document attachments require separate file transfer

Low

Swedish-language interface affects default field names

monday Work Management logo

monday Work Management gotchas

High

Subitems have no bulk export endpoint

High

API complexity budget constrains query depth

Medium

Daily call limits vary sharply across plan tiers

Medium

Automation and integration rules do not export via API

Low

Saved views are not exposed via API

Pair-specific challenges

  • Antura has no public API; all migration relies on CSV export from the UI

    We have found no publicly documented REST or bulk API endpoint for Antura. All export from Antura proceeds through CSV download from the application UI, which means the migration pipeline cannot be automated end-to-end. We guide the customer through Antura's export process, which may require multi-step extraction for large datasets and chunking for organizations with thousands of projects or tasks. This constraint adds manual effort to the export phase and extends timeline compared to API-based migrations.

  • Custom field schema requires manual discovery during scoping

    Antura allows organizations to create custom fields on standard objects, meaning no two tenants have identical schemas. There is no public metadata API for external schema introspection, so we must manually discover the active custom field set through Antura's admin interface during scoping. We include a schema discovery phase where we export a full field inventory from the customer's Antura instance before mapping begins. Swedish-language field names in the export require translation to English during the transformation phase.

  • Swedish-language field names require translation during data transformation

    Antura's default installation presents Swedish-language labels for standard fields, which means exported CSV column headers may be in Swedish such as Projekt for Project, Uppgift for Task, and Resurs for Resource. We account for this by maintaining a Swedish-to-English field name mapping during the transformation phase, but customers must confirm their instance language settings during scoping because some Antura deployments use English-language labels.

  • Monday.com lacks native resource management and capacity planning

    Monday.com does not include native capacity planning, utilization tracking, or cost-rate-based resource management. Organizations relying on Antura's resource management features will need to configure custom workarounds in monday.com using person columns for assignments, numeric columns for allocation percentages, and formula columns for basic utilization calculations. For organizations with complex resource management requirements, we recommend evaluating a third-party resource management integration after migration.

Migration approach

Six steps for a successful Antura to monday Work Management data migration

  1. Discovery and scoping

    We audit the customer's Antura instance across projects, sub-projects, tasks, resources, risks, milestones, custom fields, and document attachment inventory. We review the active custom field schema by exporting field lists from Antura's admin interface and confirm the interface language setting. We design the monday.com workspace structure including boards, groups, and column types to match the discovered Antura schema. The discovery output is a written migration scope document with a board structure diagram and field mapping table.

  2. Monday.com workspace design

    We configure the monday.com destination workspace before any data arrives. This includes creating boards with the correct structure (one board per Antura project with groups per sub-project), defining column types to match Antura fields, setting up person columns with the team's monday.com accounts, and configuring status columns that reflect Antura's project and task status workflows. For organizations with resource management needs, we implement the custom column workaround during this phase.

  3. CSV export guidance and data transformation

    We guide the customer through Antura's CSV export process, which may require multiple export passes for different object types. We handle Swedish-language field name translation during transformation, multi-value field parsing (such as comma-separated values in Antura fields that map to monday.com multi-select columns), and date format normalization to match monday.com's expected ISO format. Large datasets are chunked for processing to avoid memory overflow during transformation.

  4. Test migration and reconciliation

    We run a full migration into a monday.com test workspace using production-like data volume. The customer's project manager or operations lead reconciles record counts (projects in, tasks in, resources in), spot-checks twenty to thirty random items against the Antura source, and validates that custom field data appears correctly in monday.com column format. Any mapping corrections happen in this test phase before production migration begins.

  5. Production migration in dependency order

    We run production migration in record-dependency order: boards first (Antura Projects), then groups and items (Antura Sub-projects and Tasks), then resource assignments, then custom field data, then risk and milestone records, then time entries. Each phase emits a row-count reconciliation report before the next phase begins. Document metadata migrates as a separate inventory file; actual file binaries require a parallel file-transfer process using Antura's document export feature.

  6. Cutover, validation, and automation rebuild handoff

    We freeze Antura writes during cutover and run a final delta migration of any records modified during the migration window. We deliver a written automation and workflow inventory document listing every Antura workflow, rule, or automated action that requires rebuilding in monday.com's Automation Center. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Antura workflows as monday.com automations inside the migration scope; that work is documented for the customer's admin team.

Platform deep dives

Context on both ends of the pair

Antura logo

Antura

Source

Strengths

  • Dominant market position in Swedish municipalities with references from government agencies including Trafikverket and Migrationsverket.
  • ISO 27001 certification combined with Swedish cloud hosting addresses data residency requirements for Scandinavian compliance frameworks.
  • 20 years of continuous development with 400+ implementations suggests mature, stable software with reduced surprise bugs or breaking changes.
  • Resource management with capacity planning and time tracking integrated into a single platform reduces data fragmentation across tools.
  • All-in-one project, portfolio, and resource management covers the full PPM stack without requiring separate integrations.

Weaknesses

  • Minimal English-language review presence makes independent evaluation difficult for non-Swedish organizations considering the platform.
  • Limited public API documentation restricts automation possibilities and migration tooling development by third parties.
  • Swedish market focus means fewer English-language support resources, training materials, and community forums.
  • Smaller global footprint compared to monday.com, Wrike, or Smartsheet results in fewer third-party integrations with non-Scandinavian tools.
  • Pricing is not publicly published, requiring direct sales engagement which may slow evaluation for price-sensitive buyers.
monday Work Management logo

monday Work Management

Destination

Strengths

  • Drag-and-drop board UI with near-zero learning curve for non-technical users entering project data for the first time.
  • 20+ column types and unlimited custom columns let teams model arbitrarily complex data structures without developer help.
  • Multi-view support — Kanban, Gantt, Calendar, Timeline, Chart, Map — satisfies different team members without forcing a single layout.
  • Automations cover common trigger-action patterns for teams without dedicated developers to write custom scripts.
  • Free plan for 2 seats and a 14-day trial on all paid tiers make evaluation risk-free before committing to migration scope.

Weaknesses

  • Per-seat pricing with no enterprise flat-rate option means costs scale linearly with headcount, making it expensive at 50+ seats.
  • Subitems lack bulk API access, making them problematic for CRM-style use cases where contact records live as subitems under a company board.
  • Automations and advanced views are gated behind Pro and Enterprise tiers, creating feature deserts on entry-level plans.
  • Dependency column is visually limited — no critical path, no auto-rescheduling, and cross-board dependencies require manual link management.
  • No native document management; docs, wikis, and knowledge bases require a separate integration or third-party workaround.

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 Antura and monday Work Management.

  • 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

    Antura: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Antura to monday Work Management 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 Antura to monday Work Management data migrations

Answers to the questions buyers ask most during Antura to monday Work Management migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Straightforward migrations under 5,000 tasks with no custom objects complete in two to four weeks. Complex migrations with extensive custom field schemas, large CSV datasets requiring chunking, resource management workaround configuration, and portfolio-level structure move to six to ten weeks. The CSV-only export constraint on Antura means the export phase requires more manual customer involvement than API-based migrations, which can extend timeline if the customer team has limited availability for export coordination.

Adjacent paths

Related migrations to explore

Ready when you are

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