Project Management migration

Migrate from Allegra to monday Work Management

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 logo

Allegra

Source

monday Work Management

Destination

monday Work Management logo

Compatibility

67%

8 of 12

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

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Allegra logo

Allegra

What's pushing teams away

  • 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.

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 Allegra objects map to monday Work Management

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

maps to

monday Work Management

Item

1:1
Fully supported

Allegra 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

maps to

monday Work Management

Column

1:1
Fully supported

Allegra 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

maps to

monday Work Management

Column

lossy
Fully supported

Allegra 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

maps to

monday Work Management

File

lossy
Fully supported

Allegra 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

maps to

monday Work Management

Dropdown Column

1:1
Fully supported

Allegra 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

maps to

monday Work Management

User

1:1
Fully supported

Allegra 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)

maps to

monday Work Management

Board with Items and Sub-items

lossy
Fully supported

Allegra 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

maps to

monday Work Management

Update

1:1
Fully supported

Allegra 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

maps to

monday Work Management

Board

1:1
Fully supported

Allegra 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

maps to

monday Work Management

Status Column

1:1
Fully supported

Allegra 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

maps to

monday Work Management

Date Column or Timeline Column

lossy
Fully supported

Allegra 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

maps to

monday Work Management

Label Column

1:1
Fully supported

Allegra 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.

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.

Allegra logo

Allegra gotchas

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

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

  • Allegra attachments reside on the filesystem, not in the database

    Allegra stores file attachments under the ALLEGRA_HOME directory on the server hard drive, not within database records. A database-only export of Allegra produces a complete schema and all attribute values but zero attachments. We export both the database and the ALLEGRA_HOME/attachments directory simultaneously, preserving directory and file names. During monday.com import, each file is uploaded via the GraphQL file upload mutation and linked to the correct Item. If the Allegra server is not accessible for filesystem read (e.g., it was decommissioned before the migration), attachments cannot be recovered and this limitation is disclosed before migration begins.

  • Allegra attributes versus form fields require separate schema discovery

    Allegra's explicit distinction between attributes (item-native) and form fields (form-native) has no direct equivalent in monday.com, where all custom properties are columns. Migrating data without understanding this distinction results in orphaned form field values or silent data loss because form field definitions are stored separately from item records. We query the Allegra schema endpoint to retrieve both attribute and form field definitions, treat them as separate sources, and map each to a monday.com column with the appropriate type. If a form field is referenced on an item without a corresponding form field definition being present in Allegra's schema export, we flag it for customer review rather than migrating it silently.

  • monday.com GraphQL complexity limits require chunked import

    monday.com's GraphQL API enforces a per-query complexity limit (5M complexity points for individual queries with a sliding 60-second window). Allegra REST API responses may return large item batches that, if naively mapped into a single monday.com mutation, exceed the complexity budget and return a ComplexityException. We implement query-level complexity tracking by adding the complexity field to monitoring queries, paginate Allegra REST exports using offset or cursor parameters, chunk monday.com batch mutations to stay below the complexity threshold, and retry with exponential backoff on 429 responses. This adds latency to large migrations but prevents partial record submission.

  • MS Project hierarchy maps imperfectly to monday.com subitems

    Allegra's native MS Project import recognizes task hierarchy and attempts to match tasks to existing Items. monday.com does not have a native MS Project import; MS Project tasks must be mapped programmatically. MS Project task hierarchy (WBS hierarchy with parent-child task relationships) translates to monday.com Items at the parent level and Sub-items for child tasks, but the mapping is not 1:1 because Sub-items in monday.com have structural limitations: they cannot have their own Sub-items beyond one level in most views, they do not support the same dependency granularity as MS Project, and they cannot be assigned to different boards. For complex MS Project plans with multi-level WBS hierarchies, we flatten to a maximum of two levels (Item plus Sub-item) and document the remainder as a limitation for the customer's project manager to restructure post-migration.

  • monday.com automations and Allegra workflows do not migrate as code

    monday.com automations and Allegra workflows are platform-specific automation constructs that are not portable between systems. Additionally, monday.com has a documented April 2026 deadline for migrating legacy automation builder features to the new workflow infrastructure; any existing monday.com automation from the legacy builder will need to be rebuilt in the new infrastructure regardless of migration source. We do not migrate automations or workflows as code. We deliver a written inventory of every active Allegra workflow and every monday.com automation (if the customer is also moving from an existing monday.com instance) with its trigger, conditions, actions, and recommended monday.com equivalent. The customer's admin rebuilds them post-migration.

Migration approach

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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Allegra logo

Allegra

Source

Strengths

  • REST API with custom list endpoints for programmatic data access
  • Distinction between item attributes and form fields allows granular customization
  • MS Project file import and export with task recognition
  • Self-hosted deployment gives full data ownership and control

Weaknesses

  • Limited public documentation and thin online community presence
  • Self-hosted model requires dedicated server management resources
  • Steep initial learning curve reported by users on G2
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 Allegra 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

    Allegra: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Allegra 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 Allegra to monday Work Management data migrations

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

Can't find your answer?

Walk through your Allegra to monday Work Management migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between four and six weeks for accounts under 15,000 Items with no MS Project files and a straightforward column structure. Migrations with large attachment directories (over 50,000 files requiring filesystem extraction and cloud re-upload), MS Project files with complex task hierarchies, or a high count of custom attributes and form fields requiring detailed schema analysis move to eight to fourteen weeks because of the file pipeline overhead, MS Project parsing, and schema validation work. The Allegra maintenance window (required for server-side export) adds a scheduling dependency outside our control.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Allegra.
Land in monday Work Management, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day