HRMS migration

Migrate from Unatrix to BambooHR

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

Unatrix logo

Unatrix

Source

BambooHR

Destination

BambooHR logo

Compatibility

70%

7 of 10

objects map 1:1 between Unatrix and BambooHR.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Unatrix to BambooHR is a structural shift from an ATS-CRM hybrid built for engineering and consulting staffing firms to a mainstream HRIS designed for small and medium businesses. Unatrix organizes data around Candidates, Clients, Jobs, and staffing-engagement Projects with CV-extracted Qualifications; BambooHR uses Employees, Applicants, and Job Openings as its primary records. We sequence the migration by extracting data from Unatrix via a manual support-negotiated export, normalizing the tenant-specific qualification taxonomy during transformation, mapping the Unatrix Project object to Employee custom fields since no native equivalent exists in BambooHR, and loading through BambooHR's REST API with HTTP Basic Auth and rate-limit-aware chunking. Workflows, sequences, KPI dashboards, and report configurations do not migrate; we deliver a written inventory of Unatrix automation and reporting objects requiring manual rebuild in BambooHR's workflow builder and reporting module.

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

Unatrix logo

Unatrix

What's pushing teams away

  • Low review volume across platforms (4.0 on G2, 3.6 on SoftwareAdvice and GetApp) makes it difficult to gauge long-term customer satisfaction and support quality.
  • Limited public documentation on API rate limits and bulk export capabilities raises concerns for teams needing programmatic data access or migration preparation.
  • Appears to serve a narrow niche (engineering/consulting staffing) which may not scale well for staffing agencies with diverse industry verticals.

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 Unatrix objects map to BambooHR

Each row shows how a Unatrix 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.

Unatrix

Candidate

maps to

BambooHR

Employee (with Applicant flag)

1:1
Fully supported

Unatrix Candidates map to BambooHR Employee records with a custom hireStatus field distinguishing active employees from pre-hire applicants. Standard fields (firstName, lastName, email, phone, address) migrate directly. The original Unatrix candidate status (Application Received, Interview Scheduled, Offered, Hired, Rejected) is preserved in a custom field candidate_source_status__c for admin reference. Custom Candidate properties discovered during discovery are created in BambooHR via the custom field builder before import begins.

Unatrix

Client

maps to

BambooHR

Directory company or manual reference

1:1
Fully supported

Unatrix Clients (hiring companies) do not have a native equivalent in BambooHR's standard data model, which treats the hiring organization as implicit rather than a tracked entity. For staffing teams migrating to BambooHR as their primary HRIS (managing their own employees rather than placed candidates), we note Client records as out of scope. If the customer uses BambooHR's ATS module for recruiting, Client records are flagged for manual entry or a one-time spreadsheet import to BambooHR's company directory if that feature is enabled on the plan.

Unatrix

Job

maps to

BambooHR

Job Opening

1:1
Fully supported

Unatrix Jobs map to BambooHR Job Openings if the destination account includes the BambooHR ATS add-on ($99-$199 per month). BambooHR Job Openings include title, department, location, employment type, and description fields that map from Unatrix Job title, client assignment, and job description. Unatrix Job status (Open, On Hold, Filled, Cancelled) maps to BambooHR Job Opening status. If the BambooHR ATS module is not included in the destination plan, Job records are migrated as BambooHR custom fields on the Employee object or noted as out of scope pending ATS purchase.

Unatrix

Qualification

maps to

BambooHR

Custom Employee field (Skills)

lossy
Fully supported

Skills and qualifications extracted from CVs in Unatrix are tagged using a tenant-specific taxonomy that varies by organization. We discover the full taxonomy during the discovery phase by querying Unatrix for all unique qualification tags across Candidate records. During migration, we create a corresponding custom multi-select picklist field in BambooHR (or a text field if the tag count exceeds picklist limits) and normalize the taxonomy by deduplicating synonyms and mapping category hierarchies into dot-separated values (e.g., 'Programming.Python' or 'Cloud.AWS'). The normalization map is delivered as a written reference document alongside the migration.

Unatrix

Project

maps to

BambooHR

Employee custom fields + Note attachment

lossy
Fully supported

Unatrix Projects represent staffing engagements tying a Candidate to a Job under a Client, often including placement metrics and performance data. BambooHR has no native Project or engagement object. We map Projects to a combination of custom fields on the Employee record (projectName__c, clientName__c, jobReference__c, placementDate__c) and Note attachments that carry the full project metadata as structured text. The customer's admin reviews the custom field set during Sandbox validation and can request consolidation or renaming before production migration.

Unatrix

Interview and Event

maps to

BambooHR

Employee time-off request or Note

1:1
Fully supported

Unatrix interview schedules and team events with date ranges and assigned team members migrate to BambooHR as structured Notes attached to the relevant Employee record, preserving the date range, interviewer names, and event description. Native BambooHR calendar or scheduling functionality does not support importing external interview data, so event records are migrated as reference documentation rather than live calendar entries. The customer should plan to rebuild interview scheduling workflows in BambooHR's workflow builder post-migration.

Unatrix

Document (CV and attachments)

maps to

BambooHR

Employee file attachment or custom URL field

1:1
Fully supported

CVs and attachments stored against Unatrix Candidate records are extracted as binary files where accessible via the REST API. We preserve file names, content type, and association to the correct Candidate. During BambooHR import, files are re-attached to the corresponding Employee record using BambooHR's file attachment API. Binary files that cannot be extracted programmatically are flagged with a file reference note and the original file name so the customer's admin can manually re-upload if needed.

Unatrix

User and Team Member

maps to

BambooHR

BambooHR User

1:1
Fully supported

Unatrix user accounts representing recruiters, sales managers, and administrators map directly to BambooHR user accounts. Role assignments (Admin, Recruiter, Hiring Manager, Read-Only) are mapped to BambooHR permission roles during discovery. Active versus inactive status is preserved in BambooHR user status. The BambooHR API key for the migration user is scoped to the permissions of the account that generated it; we use a dedicated service account with employee data access rather than an admin's personal key.

Unatrix

KPI and Report Configuration

maps to

BambooHR

Not migrated

1:1
Fully supported

Unatrix KPI dashboards and report configurations are generated from underlying raw data and do not export as self-contained objects. We do not migrate these. We extract the raw data records (Candidates, Jobs, Projects, engagement dates) so that KPI recalculation is possible in BambooHR's reporting module. The customer receives a written inventory of every Unatrix report and dashboard with its configuration summary so the admin can rebuild equivalent reports in BambooHR's Standard and Custom Report builder.

Unatrix

Tag and Custom Field

maps to

BambooHR

BambooHR Custom Field

lossy
Fully supported

Unatrix custom fields defined on Candidate and Job objects are discovered during the scoping phase by querying the Unatrix schema via the REST API. Each custom field is typed (text, number, date, picklist, checkbox) and mapped to the equivalent BambooHR custom field type. BambooHR's self-serve custom field builder is available without contacting support, which accelerates schema setup. Multi-value tags in Unatrix map to BambooHR multi-select picklists where the value set is bounded; free-form tags map to text fields.

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.

Unatrix logo

Unatrix gotchas

High

No documented bulk export API endpoint

Medium

Qualification taxonomy is tenant-specific

Medium

Project object is not a standard CRM concept

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

  • Unatrix has no documented bulk export API endpoint

    Unatrix provides a REST API for integrations but research confirms no documented bulk or batch export endpoint. All data extraction requires a manual request to Unatrix support with a negotiated export window, and the export format (CSV, JSON, or XML) depends on what Unatrix support delivers. We begin migration scoping by initiating this request and waiting for the export before beginning any transformation work. If Unatrix support cannot produce a full export within the customer's contract window, we work with the data available via the REST API and flag any records that cannot be retrieved as a gap in the migration scope.

  • BambooHR field-request model requires explicit field enumeration

    BambooHR's API uses a field-request model: you must specify which fields to return rather than receiving all fields by default. Custom fields are referenced by numeric field IDs fetched per-customer via GET /v1/meta/fields. We cannot hard-code custom field IDs across customers because they vary per BambooHR account. Our migration script fetches the full field schema at runtime, resolves numeric IDs for every source field in the mapping, and includes only requested fields in each API call. Skipping this step results in empty responses for custom fields and validation errors on import.

  • Tenant-specific qualification taxonomy requires normalization before mapping

    Unatrix qualifications are extracted from CVs and tagged using a taxonomy that each tenant customizes independently. Skill names, category hierarchies, and value sets vary between organizations. We discover the full taxonomy during discovery by aggregating all unique qualification tags across Candidate records. We build a normalization map that deduplicates synonyms, flattens hierarchical categories, and maps Unatrix qualification names to BambooHR custom field option values. Without this step, qualification data either lands in BambooHR with inconsistent labels or fails picklist validation on import.

  • Unatrix Project object has no native BambooHR equivalent

    Unatrix Projects represent staffing engagements linking Candidates to Jobs under a Client, often with placement metrics, billing information, and performance data. BambooHR has no native engagement or project tracking object. We map Project metadata to a combination of custom fields on the Employee record (projectName__c, clientName__c, placementDate__c) and structured Note attachments. This is a configuration decision, not a native mapping, and the customer should review the custom field selection during Sandbox validation to confirm the placement metadata captures what their team relies on.

Migration approach

Six steps for a successful Unatrix to BambooHR data migration

  1. Export coordination with Unatrix support

    We initiate the data export request with Unatrix support immediately upon scope confirmation. Since no programmatic bulk export endpoint exists, we negotiate the export format (preferred: JSON for schema fidelity), the delivery timeline, and the record completeness window (all records as of a cutoff date). We validate the received export file against the expected schema (Candidates, Clients, Jobs, Qualifications, Projects, Users, Events) before beginning transformation. If the export arrives incomplete, we identify gaps and request supplemental extraction before proceeding.

  2. Discovery and qualification taxonomy extraction

    We run a parallel discovery pass on the Unatrix data to extract every unique qualification tag across Candidate records, producing the tenant's full taxonomy. We categorize tags by type (skill, certification, language, degree), identify hierarchical parent-child relationships, and build a normalization map. We simultaneously audit custom fields on Candidate and Job objects by querying the Unatrix REST API for field definitions. The discovery output is a written schema map, a qualification normalization map, and a recommended BambooHR custom field schema using the self-serve custom field builder.

  3. BambooHR custom field schema setup

    We configure the destination BambooHR account's custom field schema before any data loads. Using the field normalization map, we create custom picklist fields for normalized qualifications, text fields for free-form tags, and custom fields for Project metadata (projectName__c, clientName__c, jobReference__c, placementDate__c, engagementStatus__c). If BambooHR ATS is included in the plan, we configure Job Opening fields to match the Unatrix Job schema. All schema changes are made in a BambooHR Sandbox or staging account first, validated, then replicated to the production account.

  4. Sandbox migration and reconciliation

    We run a full migration into the customer's BambooHR Sandbox environment using production-like data volume. The customer's HR lead reconciles record counts (Employees in, Applicants in, custom field values populated, Project metadata attached), spot-checks 20-40 records against the Unatrix source export, and signs off the schema and mapping before production migration begins. Any field mapping corrections, qualification normalization adjustments, or custom field additions are made during this phase. BambooHR's Employee Record Importer tool (a built-in CSV loader) is used for bulk employee loads; the REST API handles custom field population and file attachments.

  5. Production migration in dependency order

    We run production migration in dependency order: Users (validated against BambooHR user list), Employees (with custom fields created before Employee import), Applicants (from Unatrix Candidates not yet hired), Qualifications (loaded into custom picklist fields via API after Employee records exist), Project metadata (mapped to Employee custom fields), Documents (file attachments via BambooHR file API), and Events (as Note attachments). Each phase emits a row-count reconciliation report. We implement exponential backoff on 503 responses from BambooHR's API, treating 503 as the rate-limit signal since BambooHR does not publish exact thresholds or return standard 429 headers.

  6. Cutover, validation, and rebuild handoff

    We freeze writes to Unatrix during the cutover window, run a final delta migration of any records modified during the migration period, then enable BambooHR as the system of record. We deliver the qualification normalization map, the custom field schema diagram, the Unatrix report and KPI inventory, and the automation handoff document listing any workflow configurations that require rebuild in BambooHR's workflow builder. We support a one-week hypercare window for reconciliation issues. We do not rebuild Unatrix workflows, sequences, or report configurations as part of the migration scope.

Platform deep dives

Context on both ends of the pair

Unatrix logo

Unatrix

Source

Strengths

  • Combines ATS and CRM in one platform purpose-built for staffing workflows rather than generic HR.
  • Auto-extraction of skills and qualifications from uploaded CVs reduces manual tagging effort.
  • Integrated search and match functionality surfaces qualified Candidates based on Job requirements.
  • Built-in KPI reporting provides placement metrics, cost-per-hire, and time-per-hire visibility.
  • Multilingual support (DE, EN, FR, IT, ES) suits European staffing agency operations.

Weaknesses

  • Very low review volume across major platforms limits visibility into real-world user experience.
  • No public documentation of API rate limits or bulk export endpoints complicates migration planning.
  • Narrow vertical focus on engineering/consulting staffing may not suit agencies with broader industry coverage.
  • Smaller vendor footprint (7 LinkedIn employees) raises questions about long-term product support and development capacity.
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. All 7 core objects map 1:1 between Unatrix and BambooHR.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Unatrix and BambooHR.

  • Object compatibility

    A

    All 7 core objects map 1:1 between Unatrix and BambooHR.

  • 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

    Unatrix: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Unatrix 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 Unatrix to BambooHR data migrations

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

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Most migrations land between three and five weeks for accounts under 500 Candidates and 200 Jobs with a straightforward qualification taxonomy and no active Project engagement history. Migrations with large qualification vocabularies (hundreds of distinct skill tags), multi-year engagement history requiring Project metadata structuring, or Unatrix accounts where the export from support arrives in multiple batches move into seven to twelve weeks. The Unatrix support coordination timeline for the bulk export is the most unpredictable variable and is initiated on day one of scoping.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Unatrix.
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