Migrate your Antura data
Swedish-born PPM platform with 20 years of municipal and enterprise adoption. Dominant in Scandinavia's public sector with deep resource management and portfolio reporting capabilities.
In its favor
Why people choose Antura
The signal that keeps Antura on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Swedish public sector credibility with over 400 implementations across municipalities and government agencies attracts organizations seeking a battle-tested PPM tool.
ISO 27001 certification and Swedish cloud infrastructure appeals to organizations with strict data residency and security compliance requirements.
All-in-one PPM with combined project, portfolio, and resource management reduces the need to patch together multiple tools for medium-sized enterprises.
Over 20 years of continuous development with a stable customer base signals long-term vendor viability often missing from newer SaaS alternatives.
Industries including banking, finance, construction, life sciences, and healthcare indicate configurable workflows that can be adapted beyond generic project management.
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.
Reasons to switch
Why people leave Antura
The recurring reasons buyers give for replacing Antura. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Antura fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
Antura pricing overview
Antura publishes no public pricing on its website. Sales engagement is required for all tiers, with public sector pricing negotiated separately per municipality or agency. This opaque model means migration cost estimation requires knowing the customer's current contract terms.
Professional
Tier 1 of 3
Not publicly listed - contact sales
What's included
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Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Antura's schedule — see our quote-based pricing →
What gets migrated
Antura object support
Object-by-object support for Antura migrations. Per-pair details surface during scoping.
Projects
Fully supportedProjects are the primary container in Antura with configurable status workflows, dates, budgets, and responsible owners. We preserve all standard project fields during migration with 1:1 field mapping to destination equivalents.
Sub-projects
Fully supportedSub-projects nest under parent Projects and inherit portfolio-level metadata. We preserve the hierarchy by mapping parent-child relationships using the destination CRM's project linking mechanism.
Tasks
Fully supportedTasks exist in a flat structure under Projects without native subtask nesting. We map task status, assignees, dates, and descriptions directly, flagging any destination fields that require parent-child task structures.
Resources
Fully supportedResources represent employees with capacity data, skills, and cost rates. We transfer resource allocations linked to Projects and preserve utilization percentages where supported by the destination schema.
Risks and Issues
Mapping requiredAntura tracks Risks and Issues as separate objects with severity, probability, owner, and mitigation fields. We map these to destination Risk/Issue objects but note that naming conventions and custom severity scales require explicit field-level mapping.
Milestones
Fully supportedMilestones are date-driven markers within Projects with optional description fields. We preserve milestone dates and names, mapping them to the destination's equivalent milestone construct.
Documents
Mapping requiredDocuments attach to Projects and Sub-projects. We extract document metadata (name, type, date, owner) and flag that binary file transfer requires separate file-system handling outside the data migration scope.
Time Entries
Mapping requiredTime Entries record hours spent by Resources on Tasks or Projects with date and description. We map these to the destination's time-tracking object, noting that billing rate preservation requires custom field mapping for non-standard rate structures.
Custom Fields
Mapping requiredAntura supports organization-specific custom fields across Projects, Tasks, and Resources. We discover the active custom field schema during scoping and map each to destination custom fields, flagging any that have no destination equivalent.
Portfolio
Fully supportedPortfolios group Projects for strategic oversight with priority, status, and strategic alignment fields. We transfer portfolio membership and metadata, mapping to the destination's portfolio or program construct.
Cost Records
Mapping requiredCost records include estimates, budgets, actuals, and forecasts per Project. We map these to destination financial fields, noting that multi-currency handling requires exchange rate configuration at migration time.
| Object | Support | Notes |
|---|---|---|
| Projects | Fully supported | Projects are the primary container in Antura with configurable status workflows, dates, budgets, and responsible owners. We preserve all standard project fields during migration with 1:1 field mapping to destination equivalents. |
| Sub-projects | Fully supported | Sub-projects nest under parent Projects and inherit portfolio-level metadata. We preserve the hierarchy by mapping parent-child relationships using the destination CRM's project linking mechanism. |
| Tasks | Fully supported | Tasks exist in a flat structure under Projects without native subtask nesting. We map task status, assignees, dates, and descriptions directly, flagging any destination fields that require parent-child task structures. |
| Resources | Fully supported | Resources represent employees with capacity data, skills, and cost rates. We transfer resource allocations linked to Projects and preserve utilization percentages where supported by the destination schema. |
| Risks and Issues | Mapping required | Antura tracks Risks and Issues as separate objects with severity, probability, owner, and mitigation fields. We map these to destination Risk/Issue objects but note that naming conventions and custom severity scales require explicit field-level mapping. |
| Milestones | Fully supported | Milestones are date-driven markers within Projects with optional description fields. We preserve milestone dates and names, mapping them to the destination's equivalent milestone construct. |
| Documents | Mapping required | Documents attach to Projects and Sub-projects. We extract document metadata (name, type, date, owner) and flag that binary file transfer requires separate file-system handling outside the data migration scope. |
| Time Entries | Mapping required | Time Entries record hours spent by Resources on Tasks or Projects with date and description. We map these to the destination's time-tracking object, noting that billing rate preservation requires custom field mapping for non-standard rate structures. |
| Custom Fields | Mapping required | Antura supports organization-specific custom fields across Projects, Tasks, and Resources. We discover the active custom field schema during scoping and map each to destination custom fields, flagging any that have no destination equivalent. |
| Portfolio | Fully supported | Portfolios group Projects for strategic oversight with priority, status, and strategic alignment fields. We transfer portfolio membership and metadata, mapping to the destination's portfolio or program construct. |
| Cost Records | Mapping required | Cost records include estimates, budgets, actuals, and forecasts per Project. We map these to destination financial fields, noting that multi-currency handling requires exchange rate configuration at migration time. |
Gotchas
What to watch for in Antura migrations
Issues we've hit on past Antura migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Custom field schema discovery requires manual scoping
No public API documentation for bulk export
Document attachments require separate file transfer
Swedish-language interface affects default field names
| Severity | Issue |
|---|---|
| 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 |
Leaving Antura?
Where Antura customers move next
5 destinations Antura can migrate to.
How a Antura migration works
Four steps, Antura-specific
Connect
Not publicly documented into Antura. Scopes limited to read-only on the data we move.
Map
We translate Antura-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Antura quirks before production.
Migrate
Full migration with Antura rate-limit handling. Rollback available throughout.
FAQ
Antura migration FAQ
Answers to the questions buyers ask most during Antura migration scoping. Not seeing yours? Book a call.
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Free scoping call with a migration engineer. Tell us about your Antura setup and destination — written quote back within a business day.