Project Management migration
Field-level mapping, validation, and rollback between Allegra and monday Work Management. We move data and schema; workflows are rebuilt natively in monday Work Management.
Allegra
Source
monday Work Management
Destination
Compatibility
8 of 12
objects map 1:1 between Allegra and monday Work Management.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Allegra to monday.com is a structural migration from a self-hosted, database-first platform to a cloud-native, GraphQL-API platform. Allegra stores attachments on the filesystem under ALLEGRA_HOME rather than in the database, so a database-only export misses every file — we extract both simultaneously and preserve the directory structure for re-attachment. Allegra's explicit distinction between attributes (which belong to items) and form fields (which belong to input forms) has no direct monday.com equivalent; we query the Allegra schema endpoint to discover both and map each to a monday.com column type appropriate to its data. MS Project file imports (MPP format) carry task hierarchy, dependencies, and dates that we translate to monday.com subitems, groups, and the dependency column. monday.com's GraphQL API enforces a per-query complexity limit that requires paginated fetching and batch chunking for large Allegra instances. Workflows, automations, and legacy automation builders from Allegra or monday.com do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in monday.com's new workflow infrastructure.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Allegra 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.
Allegra
Item
monday Work Management
Item
1:1Allegra Items are the central record type and map directly to monday.com Items. We preserve item name, description (as Text column), creation date (as Date column), and last-modified timestamp. The item's unique identifier is used as the dedupe key during import. Items are created before any child objects to satisfy lookup dependencies. Sub-items in monday.com are used to represent child tasks if the Allegra instance uses a hierarchical item structure.
Allegra
Custom Attribute
monday Work Management
Column
1:1Allegra attributes (item-native custom properties) map to monday.com columns of the appropriate type: text attributes become Text columns, date attributes become Date columns, numeric attributes become Numbers columns, and boolean attributes become Checkbox columns. We query GET /v2/lists and the Allegra schema endpoint to discover every attribute definition before mapping. Attribute display names are preserved as column names with spaces and capitalization carried over.
Allegra
Form Field
monday Work Management
Column
lossyAllegra form fields (which belong to input forms, not items) are a distinct schema object from attributes. We extract form field definitions separately from attribute definitions and map each to a corresponding monday.com column. Form field values stored on items are migrated as column values; if a form field value exists on an item but the field definition was not associated with that item's form, we log it as a non-critical orphaned value for customer review.
Allegra
Attachment
monday Work Management
File
lossyAllegra attachments live in the ALLEGRA_HOME filesystem, not in the database. We export the entire attachments directory alongside the database export, preserving directory structure. During monday.com import, each attachment is uploaded via the monday.com GraphQL API file upload mutation and the returned file URL is stored in a File column on the corresponding Item. We handle MIME type detection and file size validation against monday.com's storage limits per plan. A database-only export of Allegra will produce zero attachments in monday.com — we avoid this by running filesystem and database extraction concurrently.
Allegra
Custom List
monday Work Management
Dropdown Column
1:1Allegra custom lists (accessible via GET /v2/lists in the REST API) contain named list entries. We retrieve all list definitions and their entry values, then create monday.com Dropdown or Label columns with the list values as options. The Item-to-list-reference attribute on each Allegra Item maps to the monday.com Dropdown column value. If a list entry has no corresponding item value, it is still created as an available option in the monday.com column for future use.
Allegra
User
monday Work Management
User
1:1Allegra users and roles are exported from the database. We match users by email address against monday.com User accounts. Any Allegra user without a matching monday.com User is held in a reconciliation queue for the customer's admin to provision before item migration proceeds, because Owner and Assignee columns in monday.com require a valid User reference.
Allegra
MS Project File (MPP)
monday Work Management
Board with Items and Sub-items
lossyAllegra can import Microsoft Project MPP files and Project Libre files with task recognition. We parse the MPP structure to extract task names, task hierarchy (parent-child), start and finish dates, dependencies (Finish-to-Start, Start-to-Start), resource assignments, and % complete. This data maps to monday.com boards: tasks become Items, sub-tasks become Sub-items, dates map to the Date column, dependencies map to the Dependency column (available on Pro and Enterprise plans), and resources map to the People column. MS Project task hierarchy does not have a direct monday.com equivalent, so the structure is flattened with Sub-items as the closest approximation.
Allegra
Comment / Note
monday Work Management
Update
1:1Allegra notes attached to Items are extracted from the database as text entries with author and timestamp. We create monday.com Updates on the corresponding Item using the GraphQL mutation create_update, preserving the note body, author (resolved to a monday.com User by email), and creation timestamp. Rich text formatting in Allegra notes is preserved where possible; unsupported formatting is stripped.
Allegra
Project / Folder
monday Work Management
Board
1:1Allegra projects and folders organize Items. We create a monday.com Board for each Allegra project, mapping the project name to the board name. Groups within the board correspond to Allegra folder or category groupings if present. The board's workspace is determined during scoping based on the customer's monday.com workspace structure.
Allegra
Status Value
monday Work Management
Status Column
1:1Allegra item status values (if using a status attribute) map to monday.com Status column labels. We preserve the color mapping if Allegra stores status color metadata. If the Allegra instance uses a freeform text attribute for status rather than a named status field, we create a Dropdown column with the observed distinct values rather than a Status column.
Allegra
Date / Timeline
monday Work Management
Date Column or Timeline Column
lossyAllegra date attributes map to the monday.com Date column. If the Allegra instance stores both a start and end date on the same item (creating a duration), we use the monday.com Timeline column (Pro and Enterprise) rather than two Date columns. The Pro plan minimum is noted during scoping because the Timeline column is not available on Standard.
Allegra
Tag / Label
monday Work Management
Label Column
1:1Allegra tags applied to Items (stored as a multi-value attribute or custom list reference) map to the monday.com Labels column. We extract all distinct tag values from the Allegra attribute, create Label column options in monday.com, and apply the corresponding label values to each Item. Tags without a matching Item are preserved as available label options for future use.
| Allegra | monday Work Management | Compatibility | |
|---|---|---|---|
| Item | Item1:1 | Fully supported | |
| Custom Attribute | Column1:1 | Fully supported | |
| Form Field | Columnlossy | Fully supported | |
| Attachment | Filelossy | Fully supported | |
| Custom List | Dropdown Column1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| MS Project File (MPP) | Board with Items and Sub-itemslossy | Fully supported | |
| Comment / Note | Update1:1 | Fully supported | |
| Project / Folder | Board1:1 | Fully supported | |
| Status Value | Status Column1:1 | Fully supported | |
| Date / Timeline | Date Column or Timeline Columnlossy | Fully supported | |
| Tag / Label | Label Column1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Allegra gotchas
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
monday Work Management gotchas
Subitems have no bulk export endpoint
API complexity budget constrains query depth
Daily call limits vary sharply across plan tiers
Automation and integration rules do not export via API
Saved views are not exposed via API
Pair-specific challenges
Migration approach
Discovery and Allegra environment audit
We audit the source Allegra instance via its REST API and direct database read. This includes item count, attribute count, form field count, attachment file count and total filesystem size, custom list definitions, user accounts and roles, MS Project file inventory (if any), and active workflow or automation count. We also identify the Allegra database engine type (PostgreSQL, MySQL, SQL Server, or Oracle) because Allegra's documentation warns that changing the database system during migration risks field-length truncation and data loss. If the Allegra server is still running, we schedule a filesystem and database export during a maintenance window as Allegra requires a full installation shutdown for documented server migration. If the server has already been decommissioned, we work from the most recent backup ZIP.
Schema discovery and attribute-field split resolution
We query the Allegra schema endpoint to retrieve all attribute definitions (item-native) and form field definitions (form-native) separately. We cross-reference each attribute and form field against the item records to identify which form fields are actually populated on items. Any form field referenced on an item but not found in the form field schema is flagged as an orphaned reference. We map each confirmed attribute and form field to a monday.com column type, noting where a form field maps to a different column type than an equivalent attribute would. This step produces the canonical field mapping document that governs all subsequent transformation logic.
monday.com workspace and board design
We design the destination monday.com workspace structure based on the Allegra project and folder hierarchy. Each Allegra project becomes a monday.com board; each Allegra folder becomes a group within the board. We pre-create all monday.com columns in the correct order before any data import, using the column types determined during schema discovery. If the customer has an existing monday.com account, we work within their current workspace and permissions model. If monday.com is new, we create the workspace and provision users with appropriate roles. We validate the workspace design in monday.com's free test environment before production migration begins.
Filesystem attachment export and file upload pipeline
We export the Allegra attachments directory from ALLEGRA_HOME alongside the database export, preserving file names and directory paths. Each file is associated with its Allegra Item by matching the file path or attachment record in the database. We build a file-to-item mapping table before beginning monday.com data import. During migration, each file is uploaded to monday.com using the GraphQL file upload mutation, and the returned file URL is stored in a File column on the corresponding Item. We handle MIME type detection, skip files exceeding monday.com's storage limits per plan, and log any files that cannot be matched to a valid Item.
Data migration in dependency order
We run the production migration in record-dependency order. Workspace and board structure are created first (workspace, boards, groups, columns). Users are reconciled by email match against monday.com User accounts. Items are migrated with their attributes mapped to columns; attachments are linked after Item creation. Custom list values are created as Dropdown options before the Items that reference them. MS Project files are parsed and mapped to Items, Sub-items, Date columns, and the Dependency column if available on the customer's plan. Comments and notes are migrated as monday.com Updates after the parent Items exist. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation rebuild handoff
We freeze Allegra write access during cutover and run a final delta migration of any records modified during the migration window. We deliver a post-migration validation report comparing Allegra item counts, attachment counts, and user counts against the monday.com destination. We provide the automation and workflow inventory document listing every Allegra workflow with its trigger, conditions, and a recommended monday.com automation equivalent for the customer's admin to rebuild. We support a one-week hypercare window for reconciliation issues. We do not rebuild Allegra workflows as monday.com automations inside the migration scope; that is a separate engagement.
Platform deep dives
Allegra
Source
Strengths
Weaknesses
monday Work Management
Destination
Strengths
Weaknesses
Complexity grading
Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Allegra and monday Work Management.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Allegra: Not publicly documented.
Data volume sensitivity
Allegra doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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