HRMS migration

Migrate from HR-ON to BambooHR

Field-level mapping, validation, and rollback between HR-ON and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.

HR-ON logo

HR-ON

Source

BambooHR

Destination

BambooHR logo

Compatibility

50%

5 of 10

objects map 1:1 between HR-ON and BambooHR.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from HR-ON to BambooHR means stepping from a European-market HR platform with API extraction constraints into a globally-deployed HRIS that supports per-employee-per-month pricing, a documented REST API with bulk import capabilities, and a native ecosystem spanning hiring through performance. HR-ON holds Employees, Document Templates, and organizational metadata within systemFields; BambooHR separates these into distinct objects with a dedicated Department hierarchy and a custom field builder. We extract from HR-ON's per-record REST endpoints (JWT auth, no bulk endpoint), normalize date formats across four possible locales, map language-tagged document templates to BambooHR's single-template model with a relinking flag, and reconstruct HR-ON's flattened org metadata into BambooHR's Department and reporting-chain structure. Workflows, automations, and onboarding task sequences do not migrate; we deliver a written inventory for your admin to rebuild inside BambooHR.

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

HR-ON logo

HR-ON

What's pushing teams away

  • Conflicting public reporting on API availability — some sources say HR-ON has an open API while others state HR-ON Recruit specifically does not. Buyers needing certainty on programmatic access must confirm with HR-ON directly before contracting.
  • Suite plan at €317/month is materially more expensive than Recruit at €167/month — companies that only need ATS functionality may find the upsell to the full Suite expensive.
  • European focus means thinner partner network in North America and APAC compared with global HRIS providers.
  • Reporting and analytics depth lag mid-market HRIS leaders like BambooHR and HiBob.
  • Recruiting-focused entry point means HR-ON requires the Suite tier to cover onboarding and ongoing HR processes.

Choosing

BambooHR logo

BambooHR

What's pulling them in

  • Lowest friction entry point for SMBs moving off spreadsheets — intuitive interface means most teams are functional within days, not weeks.
  • Consolidation value: BambooHR merges ATS, onboarding, HR records, time-off, and payroll into a single pane of glass that employees never need to leave.
  • Volume discounts applied automatically by headcount, so pricing scales predictably as the company grows without renewal negotiations.
  • BambooHR reports most customers go live in four to six weeks, making it a realistic commitment for under-resourced HR teams.
  • Award-winning Support Heroes cited frequently in reviews — responsive human support after implementation is a differentiator.

Object mapping

How HR-ON objects map to BambooHR

Each row shows how a HR-ON object lands in BambooHR, including any object-level transformations, lookup resolution, or schema-design dependencies.

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

HR-ON

Employee

maps to

BambooHR

Employee

1:1
Fully supported

HR-ON Employee records map 1:1 to BambooHR Employee File records using the POST /v1/staff/employees endpoint on HR-ON and the BambooHR employees API. Standard fields (firstName, lastName, workEmail, workPhone, dateOfBirth, hireDate, employmentHistoryStatus) transfer directly. The HR-ON id field becomes the BambooHR employee number, preserving the original identifier for reconciliation. All fields are validated against BambooHR's required-field schema before insert.

HR-ON

Employee systemFields

maps to

BambooHR

Custom Fields

lossy
Fully supported

HR-ON stores organizational metadata (cost center, employment type, approval chain, location code) within systemFields on each Employee record rather than in separate objects. We extract all non-standard systemFields during scoping, classify them by data type (text, date, picklist), and map them to BambooHR custom fields created via the Custom Field Builder before migration. Any systemFields with incompatible types (e.g., multi-select from HR-ON without a BambooHR multi-select equivalent) are flagged in the mapping document for customer decision.

HR-ON

Document Template

maps to

BambooHR

Document Template

1:1
Fully supported

HR-ON document templates carry language variants (da_DK, en_US) as separate records, each with a documentType, dateFormat, and language tag. BambooHR supports document templates as a standard feature but does not natively differentiate templates by locale variant. We import the primary-language template and flag the language variant copies in the document mapping inventory, listing each with its source language code so the customer can reassign post-migration if bilingual documents are needed.

HR-ON

Organizational Structure (systemFields)

maps to

BambooHR

Department

lossy
Fully supported

HR-ON does not expose a separate Department object; org metadata lives as systemFields on Employee (department name, division, location, reporting manager id). We parse these systemFields, deduplicate department names, create Department records in BambooHR, and resolve the reporting manager id against the migrated Employee records to build the correct manager-employee hierarchy. If HR-ON stores flat text manager names rather than IDs, we perform fuzzy name matching against the imported Employees.

HR-ON

User

maps to

BambooHR

User

1:1
Fully supported

HR-ON user accounts map to BambooHR user accounts. We extract user email, display name, role, and status. HR-ON-specific permission structures (e.g., granular Danish-document-access roles) map to BambooHR's role model as the closest equivalent, with any permissions that have no BambooHR analog flagged in the user mapping inventory for the customer's admin to configure post-migration.

HR-ON

Document (generated)

maps to

BambooHR

Files

1:1
Fully supported

HR-ON generates documents from templates and stores them with dateFormat and language metadata, either as binary blobs or as PDF links. We export the document content and metadata, then attach the files to the corresponding BambooHR Employee record under the Files tab. Document naming conventions from HR-ON are preserved in the file name. Any documents that cannot be linked because the source employee was not found in BambooHR are placed in an unassigned queue with a reference to the original HR-ON employee ID.

HR-ON

Date metadata

maps to

BambooHR

Date fields

lossy
Fully supported

HR-ON stores dates in DD-MM-YYYY, DD/MM/YYYY, YYYY-MM-DD, or written form depending on the employee record's locale and template settings. We normalize all date values to ISO 8601 (YYYY-MM-DD) during extraction before loading into BambooHR. Date fields confirmed include dateOfBirth, hireDate, terminationDate, and any date custom fields carried from HR-ON systemFields.

HR-ON

Language Preferences

maps to

BambooHR

Language fields

1:1
Fully supported

HR-ON explicitly stores language at da_DK (Danish) and en_US (English) per template and per employee. We carry the language preference through to BambooHR's language field on the Employee record, preserving the source locale code. BambooHR's interface localization respects this setting for the employee-facing portal.

HR-ON

Employment status (systemFields)

maps to

BambooHR

Employment Status

lossy
Fully supported

HR-ON stores employment status (active, inactive, on leave, terminated) as systemFields on Employee. BambooHR has a standard employmentStatus field with account-specific options. We map HR-ON status values to BambooHR status options during scoping, with unmapped statuses flagged for the customer to configure as BambooHR employment status options before production migration.

HR-ON

Custom Fields (Employee)

maps to

BambooHR

Custom Fields

lossy
Fully supported

HR-ON custom properties on Employees that are not systemFields are extracted as custom fields on the Employee record. We map the field name, data type, and current value to a BambooHR custom field of matching or nearest type (short answer, long answer, checkboxes to multi-select picklist). Fields with HR-ON-specific picklist values are mapped to BambooHR picklist options with unmapped options flagged for the admin to resolve.

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.

HR-ON logo

HR-ON gotchas

High

No bulk export endpoint forces sequential reads

Medium

Date format normalization required before import

Low

Language-specific document types may not map directly

BambooHR logo

BambooHR gotchas

High

Undocumented API rate limits can trigger 503 errors

High

Per-employee pricing model requires active record count verification

Medium

API credentials must be sent on every request to avoid extra round trips

Medium

Custom field schema varies per account and requires manual inventory

Low

Document and attachment exports are not covered by standard report exports

Pair-specific challenges

  • No bulk export endpoint forces sequential HR-ON reads

    HR-ON's REST API at api.hr-on.com exposes no bulk export or batch read endpoint. We retrieve employee records individually via authenticated calls to POST /v1/staff/employees for each record. For organizations with over 200 employees, this extends extraction timelines compared to platforms with bulk endpoints. We mitigate by chunking requests into batches of 50 records, implementing exponential backoff on rate-limited responses, and running extraction in parallel where HR-ON's infrastructure allows. The customer should plan for this constraint in their migration schedule.

  • Date format normalization across four possible schemas

    HR-ON stores dates in one of four formats depending on locale and template: DD-MM-YYYY, DD/MM/YYYY, YYYY-MM-DD, or written form (e.g., July 20, 2021). BambooHR's API accepts ISO 8601 consistently. We parse and normalize all date values to ISO 8601 during extraction and validate against the destination's required formats before insert. Date fields confirmed for normalization include dateOfBirth, hireDate, terminationDate, and any custom date fields extracted from HR-ON systemFields. Written-form dates are parsed using locale-aware logic before normalization.

  • Org structure flattening requires custom reconstruction logic

    HR-ON stores organizational metadata (department, division, location, reporting chain) inside systemFields on each Employee record rather than as a separate Department or Reporting Relationship object. BambooHR separates these into a Department object and a manager field on Employee. We write custom flattening logic to parse HR-ON systemFields, deduplicate department names into Department records, and resolve reporting manager IDs against imported Employees. If HR-ON stores manager names as free text rather than IDs, fuzzy matching against imported Employees is applied, with a confidence threshold below which records are flagged for manual resolution.

  • Multi-language document templates do not map directly to BambooHR

    HR-ON supports document templates with language-specific variants (da_DK, en_US) stored as separate template records with matching documentType and language metadata. BambooHR does not have a native multi-language template variant system. We import the primary-language variant and flag each additional language variant in the document mapping inventory with its source language code, template name, and associated employee. The customer reviews this inventory post-migration and manually reassigns the document to the correct BambooHR template or uploads the variant as a standalone file attachment if bilingual content is required.

  • BambooHR add-ons require separate configuration post-migration

    BambooHR's payroll, time tracking, benefits administration, and performance management are priced add-ons activated after initial account setup. If the customer intends to use these modules, the migration does not include their configuration. We scope the add-on decision during discovery, and if they are purchased after migration, we can configure the initial module setup (payroll schedules, benefit plans, time-tracking rules) as a separate engagement. HR data (Employee, Department, reporting structure) is ready for these modules on day one regardless of whether they are enabled.

Migration approach

Six steps for a successful HR-ON to BambooHR data migration

  1. Discovery and scoping

    We audit the source HR-ON account: total employee records, active and inactive status distribution, document template count with language variants, systemFields inventory with data types and picklist values, custom field count, and user account list with role assignments. We review the destination BambooHR account structure: existing departments, configured employment status options, custom field setup, and whether payroll, time tracking, or performance add-ons are active or planned. The output is a written scoping document with record counts, field-level mapping table, and a migration schedule with a freeze-window recommendation.

  2. Schema configuration in BambooHR

    We configure the BambooHR destination before any data is loaded. This includes creating Department records from HR-ON's parsed systemFields, setting up custom fields via BambooHR's Custom Field Builder to receive HR-ON systemFields and non-standard properties, configuring employment status options to match HR-ON's status values, and establishing user roles that approximate HR-ON's permission model. Any employment status values in HR-ON without a BambooHR equivalent are flagged for the customer to add as BambooHR status options before production migration begins.

  3. Sandbox migration and validation

    We run a full migration into a BambooHR test account using production-equivalent data volume. The customer's HR lead spot-checks 25-50 randomly selected employee records against the HR-ON source, validates document attachments on five to ten records, confirms the manager hierarchy reflects the HR-ON reporting chain, and reviews custom field values for accuracy. Any field mapping corrections, missing picklist options, or department mapping errors are documented and corrected before the production migration phase begins.

  4. Data extraction with sequential-API handling

    We extract from HR-ON using per-record authenticated calls to the employee endpoints with JWT bearer tokens. Records are processed in batches of 50 with retry logic (exponential backoff up to three retries) on any 429 or 5xx responses. Date normalization to ISO 8601 runs as a transform step on each record before it enters the migration staging area. SystemFields are parsed separately and routed to the custom field mapping pipeline. Document blobs and PDF links are extracted and staged with their employee ID reference and language metadata.

  5. Production migration in dependency order

    We load data into BambooHR in dependency order: Departments first (for the department reference on Employee), then Employees with all standard and custom fields mapped, then Files (document attachments linked to Employee records), then Users. Each phase produces a row-count reconciliation report against the HR-ON source before the next phase begins. If the customer has an existing BambooHR account with live data, we run the migration in a freeze window where no new writes occur in HR-ON; if this is a new BambooHR account, we migrate directly and the customer runs HR-ON in read-only mode during the delta window.

  6. Cutover, validation, and rebuild handoff

    We freeze writes in HR-ON at cutover, extract any records modified during the migration window as a delta load, then enable BambooHR as the system of record. We deliver a full record reconciliation report (source count vs. destination count by object), a document relinking guide listing each language-variant template from HR-ON with its recommended BambooHR template assignment, a user-role mapping table noting any HR-ON-specific permissions without a BambooHR equivalent, and a custom field inventory with any fields that could not be type-matched. We do not rebuild HR-ON workflows or onboarding task sequences inside BambooHR; these are documented in a separate rebuild scope for the customer's admin team.

Platform deep dives

Context on both ends of the pair

HR-ON logo

HR-ON

Source

Strengths

  • REST API at api.hr-on.com with documented endpoints for employees and document templates.
  • Supports multi-language document generation with Danish and English locale handling.
  • Structured systemFields on Employee records provide consistent metadata for extraction.
  • JWT authentication enables programmatic access without complex OAuth flows.
  • 4.6 rating on G2 with user praise for ease of use and helpful HR features.

Weaknesses

  • No publicly documented bulk export endpoint; data retrieval depends on per-record API calls.
  • Limited object types beyond Employees and Document Templates, reducing migration scope options.
  • Small market presence (34 G2 reviews) means less community knowledge and fewer migration guides.
  • No Wikipedia article indicates limited public documentation depth compared to major HRMS platforms.
  • Danish-market focus means English documentation and support resources are less comprehensive.
BambooHR logo

BambooHR

Destination

Strengths

  • Single platform consolidating ATS, onboarding, HR records, payroll, and time-off reduces system sprawl for SMBs.
  • Fast implementation — BambooHR reports four to six weeks from kickoff to go-live for most customers.
  • Per-employee pricing with automatic volume discounts makes cost predictable as headcount grows.
  • Strong customer support reputation (Support Heroes) cited consistently across G2, Capterra, and direct testimonials.
  • Well-documented API with UTF-8 encoding, clear field types, and HTTPS-only access.

Weaknesses

  • Mobile application is significantly limited compared to the desktop experience, frustrating remote and field workers.
  • Companies above 150–200 employees frequently outgrow the platform's feature depth and customization surface.
  • Limited advanced reporting and analytics compared to enterprise HR platforms — custom report building is the ceiling.
  • PTO and profile customization are pain points — non-standard accrual policies and complex org structures require workarounds.
  • Document management and attachment handling lack the granularity of dedicated document-centric HR systems.

Complexity grading

How hard is this migration?

Standard HRMS migration. 1 of 7 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 HR-ON and BambooHR.

  • Object compatibility

    B

    1 of 7 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

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    HR-ON: Not publicly documented..

  • Data volume sensitivity

    B

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

Estimator

Estimate your HR-ON to BambooHR 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 HR-ON to BambooHR data migrations

Answers to the questions buyers ask most during HR-ON to BambooHR migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Migrations under 150 employees with standard fields, no custom objects, and clean date formatting land between two and four weeks. Migrations over 150 employees, with custom fields, large document archives, or language-variant template sets move into six to ten weeks because of sequential-API extraction time from HR-ON, date normalization overhead, and document relinking scope. A four-to-six-week implementation window is typical for BambooHR itself; the FlitStack AI data migration runs in parallel during that window and completes before BambooHR go-live.

Adjacent paths

Related migrations to explore

Ready when you are

Move from HR-ON.
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