Migrate your Allegra data
Self-hosted project management platform with a REST API, MS Project integration, and a distinction between attributes and custom fields.
In its favor
Why people choose Allegra
The signal that keeps Allegra on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Users praise its ease of use and effective reporting capability for streamlining project management and task tracking, based on G2 review themes.
Strong customer support and the ability to customize the platform to fit specific team needs drive adoption among smaller project teams.
MS Project import and export compatibility appeals to teams migrating from or to Microsoft Project environments.
The learning curve is reported as steep initially, according to G2 reviews, causing friction for new users during onboarding.
Limited online presence and thin public documentation make it difficult for prospects to evaluate the platform against better-known alternatives.
As a self-hosted solution, teams must manage their own server maintenance, backups, and upgrades, which creates operational overhead some teams want to avoid.
Reasons to switch
Why people leave Allegra
The recurring reasons buyers give for replacing Allegra. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Allegra 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
Allegra pricing overview
Allegra does not publish pricing on its public website. As a self-hosted platform, costs likely include server infrastructure and a software license rather than a per-seat SaaS subscription. Prospective customers must contact the vendor directly.
Not publicly documented
Tier 1 of 1
Contact vendor
What's included
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Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Allegra's schedule — see our quote-based pricing →
What gets migrated
Allegra object support
Object-by-object support for Allegra migrations. Per-pair details surface during scoping.
Items
Fully supportedItems are the central object in Allegra. We migrate Items 1:1 with their standard attributes and custom attribute values. Field-to-attribute mapping is handled by querying the target instance's schema before import.
Custom Attributes
Mapping requiredAttributes belong to items and differ from form fields. We discover all custom attributes via the Allegra schema endpoint and create corresponding fields or properties in the destination system.
Custom Fields (Form Fields)
Mapping requiredFields belong to input forms rather than items. We extract field definitions separately and map them to destination custom fields, noting that the semantics differ from standard field mapping.
Attachments
Mapping requiredAttachments are stored on disk in the ALLEGRA_HOME directory, not in the database. We export them from the filesystem alongside the database export and re-attach them to the correct Items in the destination system.
Custom Lists
Mapping requiredAllegra supports custom lists with list entries accessible via GET /v2/lists in the REST API. We retrieve all custom list definitions and their entries, then map them to equivalent dropdown or picklist fields in the destination.
Users
Fully supportedUsers and roles are exported from the database. We map user accounts to destination users and assign roles based on the Allegra role structure.
MS Project Files (Import/Export)
Mapping requiredAllegra can import Microsoft Project and Project Libre files and tries to recognize existing tasks. We handle MPP file parsing and map MS Project tasks to Allegra Items, preserving hierarchy and dates.
Server/Installation Data
Not in this platformServer-level migration (ZIP backup in ALLEGRA_HOME/dbbackup) is an Allegra-native installation relocation process, not a data migration between platforms. We do not migrate this object; we handle application-level data only.
| Object | Support | Notes |
|---|---|---|
| Items | Fully supported | Items are the central object in Allegra. We migrate Items 1:1 with their standard attributes and custom attribute values. Field-to-attribute mapping is handled by querying the target instance's schema before import. |
| Custom Attributes | Mapping required | Attributes belong to items and differ from form fields. We discover all custom attributes via the Allegra schema endpoint and create corresponding fields or properties in the destination system. |
| Custom Fields (Form Fields) | Mapping required | Fields belong to input forms rather than items. We extract field definitions separately and map them to destination custom fields, noting that the semantics differ from standard field mapping. |
| Attachments | Mapping required | Attachments are stored on disk in the ALLEGRA_HOME directory, not in the database. We export them from the filesystem alongside the database export and re-attach them to the correct Items in the destination system. |
| Custom Lists | Mapping required | Allegra supports custom lists with list entries accessible via GET /v2/lists in the REST API. We retrieve all custom list definitions and their entries, then map them to equivalent dropdown or picklist fields in the destination. |
| Users | Fully supported | Users and roles are exported from the database. We map user accounts to destination users and assign roles based on the Allegra role structure. |
| MS Project Files (Import/Export) | Mapping required | Allegra can import Microsoft Project and Project Libre files and tries to recognize existing tasks. We handle MPP file parsing and map MS Project tasks to Allegra Items, preserving hierarchy and dates. |
| Server/Installation Data | Not in this platform | Server-level migration (ZIP backup in ALLEGRA_HOME/dbbackup) is an Allegra-native installation relocation process, not a data migration between platforms. We do not migrate this object; we handle application-level data only. |
Gotchas
What to watch for in Allegra migrations
Issues we've hit on past Allegra migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Attachments reside in ALLEGRA_HOME filesystem, not the database
Attributes vs. fields distinction causes field mapping errors
Server migration requires full installation shutdown
Database system change during migration risks field-length data loss
| Severity | Issue |
|---|---|
| High | Attachments reside in ALLEGRA_HOME filesystem, not the database |
| Medium | Attributes vs. fields distinction causes field mapping errors |
| Medium | Server migration requires full installation shutdown |
| High | Database system change during migration risks field-length data loss |
Leaving Allegra?
Where Allegra customers move next
5 destinations Allegra can migrate to.
How a Allegra migration works
Four steps, Allegra-specific
Connect
Not publicly documented into Allegra. Scopes limited to read-only on the data we move.
Map
We translate Allegra-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Allegra quirks before production.
Migrate
Full migration with Allegra rate-limit handling. Rollback available throughout.
FAQ
Allegra migration FAQ
Answers to the questions buyers ask most during Allegra migration scoping. Not seeing yours? Book a call.
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