HRMS migration

Migrate from mploy to BambooHR

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

mploy logo

mploy

Source

BambooHR

Destination

BambooHR logo

Compatibility

80%

8 of 10

objects map 1:1 between mploy and BambooHR.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from mploy to BambooHR is a structural upgrade from a flat-rate ATS to a per-employee HRIS that covers hiring, onboarding, employee records, time tracking, benefits, and performance. mploy has no confirmed public API, so every migration relies on admin-panel CSV exports that the customer must validate for completeness before we begin mapping. BambooHR's documented REST API lets us push data in typed batches with field-level validation, but the source export is the critical path item that determines feasibility. We do not migrate mploy Workflows or automations because mploy's configuration layer is undocumented and cannot be reliably reverse-engineered. We deliver a written schema map of every BambooHR object the customer should configure (pipelines, employee fields, onboarding templates) before the data load so that records land in a usable state on day one.

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

mploy logo

mploy

What's pushing teams away

  • Zero third-party reviews on G2 and Capterra make it impossible to validate product reliability, support quality, or long-term viability before committing data.
  • Small-market product raises concerns about vendor longevity and the risk of a forced migration if the platform sunsets without warning.
  • Limited public documentation means internal teams struggle to configure workflows, integrations, or custom fields without vendor support.
  • Absence of a visible API or developer documentation blocks automation use cases, integrations with HRIS systems, and programmatic data extraction.
  • Small vendor footprint limits access to skilled implementation partners, forcing customers to rely solely on vendor support for complex setups.

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 mploy objects map to BambooHR

Each row shows how a mploy 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.

mploy

Candidate

maps to

BambooHR

Candidate (BambooHR ATS)

1:1
Fully supported

mploy Candidates map to BambooHR Candidate records using BambooHR's Candidates API endpoint. Standard fields (first name, last name, email, phone, status, rating) migrate directly. Source attribution from mploy becomes the BambooHR custom question field or a standard Source picklist value. We flag any mploy Candidate record without a valid email address for manual review before import because BambooHR requires a bestEmail value for the Candidate to be fully functional.

mploy

Job

maps to

BambooHR

Job (BambooHR ATS)

1:1
Fully supported

mploy Jobs map to BambooHR Job records using BambooHR's Jobs API. Active and archived jobs migrate with their status preserved; mploy's job description field maps to BambooHR's question set or a custom text field depending on the destination field configuration. Department and location from mploy map to BambooHR's department and location picklists, which the customer configures in the BambooHR admin panel before migration.

mploy

Application

maps to

BambooHR

Candidate Application (BambooHR ATS)

1:1
Fully supported

mploy Applications (the join records linking Candidates to Jobs) map to BambooHR Candidate records with an associated Application status. The application date, submission source, and pipeline stage migrate as BambooHR custom fields or application status values. Stage transition timestamps from mploy replay as BambooHR application status history entries. If mploy stores application-stage history as a separate data export, we replay it as structured notes on the BambooHR Candidate record.

mploy

Pipeline

maps to

BambooHR

Hiring Pipeline or Stage (BambooHR ATS)

lossy
Fully supported

mploy pipeline stage names and sequence map to BambooHR's hiring pipeline configuration. We preserve the ordered stage sequence (e.g., Applied, Phone Screen, Interview, Offer) as BambooHR pipeline stages, with custom stage names translated to the closest BambooHR status equivalent. Stage probability rates from mploy migrate as informational notes for the customer's admin to configure in BambooHR's pipeline settings.

mploy

User

maps to

BambooHR

Employee (BambooHR HRIS)

1:many
Fully supported

mploy Users who are also employees (recruiters, hiring managers with employee records) map to BambooHR Employee records via the BambooHR Employees API. Admin-role Users without a corresponding employee record migrate as BambooHR user accounts with the recruiter role assigned. Role assignments (admin, recruiter, hiring manager) from mploy map to BambooHR role permissions that the customer configures in BambooHR Access Control before user provisioning.

mploy

Custom Fields (Candidates)

maps to

BambooHR

Custom Fields (BambooHR Candidates)

1:1
Fully supported

Custom fields on mploy Candidates require explicit enumeration during discovery because no public schema documentation exists. We extract the field names, data types, and picklist values from the customer's mploy admin panel export, then map each to a BambooHR custom Candidate field. The customer must walk us through their custom field configuration before we can produce the mapping; this enumeration step adds one to two business days to discovery. We flag any mploy multi-select or checkbox fields for translation to BambooHR's custom field picklist format.

mploy

Custom Fields (Jobs)

maps to

BambooHR

Custom Fields (BambooHR Jobs)

1:1
Fully supported

Custom fields on mploy Job postings migrate to BambooHR custom fields on Job records using the BambooHR Jobs API customField parameter. Like Candidate custom fields, Job custom fields require manual enumeration during discovery. We document the source field name, data type, and value set, then produce a field-level mapping to BambooHR's equivalent custom field configuration.

mploy

Offer

maps to

BambooHR

Candidate Record or Custom Object

1:1
Fully supported

mploy Offer records (compensation, start date, acceptance status) map to BambooHR Candidate record fields or a custom Offer object depending on the customer's BambooHR configuration. Offer details migrate as structured data on the BambooHR Candidate record with custom fields for compensation, start date, and offer status. If the customer has configured BambooHR's built-in Offer Letter feature, we map to that feature's fields instead.

mploy

Interview

maps to

BambooHR

Note or Calendar Event (manual reconstruction)

1:1
Fully supported

Interview records are not confirmed as a separately exportable object in mploy. Where interview data exists in mploy, it is typically embedded in the Application record or stored as free-text notes. We attempt to capture interview date, interviewer, and outcome as structured notes on the corresponding BambooHR Candidate record. We flag this as a manual-reconstruction item in the migration scope and recommend the customer's admin configure BambooHR's interview scheduling and feedback tools post-migration to rebuild the interview workflow natively.

mploy

Document Attachments

maps to

BambooHR

File Storage (BambooHR)

1:1
Fully supported

Resume files and uploaded attachments from mploy require separate export handling because they may not be included in the standard candidate CSV export. We request a separate file archive from mploy (admin-panel or vendor-facilitated) and map each file to the corresponding BambooHR Candidate record using BambooHR's file upload API. Attachment file names are matched to candidate records by email address as the dedupe key. We flag any attachment archive that is unavailable or inaccessible before migration begins as a blocking item.

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.

mploy logo

mploy gotchas

High

No public API confirmed for programmatic data extraction

High

Zero third-party reviews create a reliability blind spot

Medium

Custom field schema is customer-specific and must be enumerated manually

Medium

Candidate document attachments require separate export handling

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 public API confirmed; migration depends on admin-panel CSV export

    mploy has no documented API endpoint, authentication scheme, or developer portal. Every migration we have scoped against this platform required the customer to pull data manually from the admin-panel bulk export. Before any migration timeline is committed, the customer must confirm their admin-panel export access, validate that the exported CSV columns match the data scope, and confirm that attachment archives are available separately. If admin-panel exports are restricted or unavailable, migration may not be feasible without vendor-facilitated data extraction. We require explicit customer sign-off on export completeness before deletion clearance.

  • Custom field schema is undocumented and requires manual enumeration

    No published data dictionary or schema documentation exists for mploy's custom field definitions. In every migration we have scoped, the customer must walk us through their custom fields by providing screenshots or a field-level export from the mploy admin panel. We cannot infer custom field names, data types, or picklist values from external research. This enumeration step adds one to two business days to discovery and must complete before we can produce the field-level mapping document. We recommend the customer schedules a 30-minute screen share to walk through their mploy field configuration at the start of the engagement.

  • Resume and attachment handling is a separate export from candidate records

    Resume files and uploaded attachments in mploy are stored separately from candidate record fields. If mploy does not include binary attachments in the bulk CSV export, we must request a separate file archive or confirm that attachment export is included in the bulk download. Missing attachments are a common post-migration gap when scoping focuses on record fields and ignores binary assets. We flag this explicitly in the discovery checklist and require the customer to confirm attachment export availability before migration planning finalizes.

  • BambooHR ATS and HRIS objects are separate; migration does not auto-link them

    BambooHR separates its ATS Candidate records from its HRIS Employee records. A mploy Candidate who is hired does not automatically become a BambooHR Employee record through the migration; the customer's admin must run the BambooHR hire-from-candidate action in the BambooHR ATS to create the linked Employee record. We document this action in the cutover checklist and recommend the admin runs the hire action for each converted Candidate before the go-live date so that onboarding workflows trigger correctly in BambooHR.

  • BambooHR date format and boolean field mapping must match source export

    BambooHR's API accepts multiple date input formats and expects boolean fields to use standard true/false representations. mploy's CSV export may use non-standard date formats (e.g., MM/DD/YYYY vs ISO 8601) or text representations for boolean fields (e.g., 'Yes'/'No' instead of 1/0). We validate date formats and boolean representations during the discovery data audit and configure the BambooHR attribute mapping section to match the source export's conventions before the first API push. Date format mismatches are a common cause of record rejection in BambooHR bulk imports.

Migration approach

Six steps for a successful mploy to BambooHR data migration

  1. Discovery and export capability confirmation

    We begin by confirming whether the customer has admin-panel access to mploy and can produce bulk CSV exports of Candidates, Jobs, Applications, and any custom field data. We request a sample export (five to ten records each object) to validate column names, date formats, and boolean representations. If the customer cannot produce exports independently, we flag this as a blocking item and recommend contacting mploy support for vendor-facilitated data extraction. We simultaneously enumerate the custom field schema through a screen-share walkthrough of the mploy admin panel, documenting field names, data types, and picklist values for every custom field in use.

  2. BambooHR destination schema design

    We design the BambooHR configuration based on the customer's target HRIS state. This includes setting up BambooHR employee fields (matching mploy source fields to BambooHR's standard and custom employee fields), configuring the ATS pipeline stages to reflect mploy's stage sequence, mapping department and location picklists, and setting up custom Candidate fields aligned with mploy's custom Candidate fields. We use BambooHR's API to pre-create all custom fields before any data import begins, so that the import schema is fully resolved at load time.

  3. Attachment archive collection and validation

    We collect the resume and attachment file archive from mploy separately from the record export. We validate that the archive is organized (ideally by candidate email or candidate ID) and that file types are compatible with BambooHR's supported formats. We produce a file-to-candidate mapping by matching attachment file names or archive folder structure against the candidate email addresses in the main export. If the archive is unavailable, we document the gap and recommend the customer requests it from mploy before cutover.

  4. Sandbox or pilot import and reconciliation

    We run a pilot import into a test BambooHR account or sandbox environment using a subset of the mploy export (typically 25-50 candidate records). The customer's HR admin spot-checks the imported records against the source mploy data for field accuracy, date correctness, and attachment presence. We resolve any field mapping corrections identified during the pilot before committing to the full production import. This step validates the enumeration work from discovery and catches data quality issues before they affect the full dataset.

  5. Production migration in dependency order

    We run the full production migration using BambooHR's REST API in record-dependency order: Jobs first (to configure the ATS job records), then Candidates, then Applications linked to their parent job and candidate records. Custom fields are applied as part of each object's import payload using the BambooHR customField parameter. Resume and attachment files upload via BambooHR's file API, linked to the corresponding Candidate record by email address as the dedupe key. We emit a row-count reconciliation report after each phase.

  6. Cutover, hire-from-candidate handoff, and automation rebuild guide

    We freeze mploy write access during cutover and run a final delta migration of any records modified during the migration window. We deliver a cutover checklist to the customer's BambooHR admin that includes running the hire-from-candidate action for each hired Candidate to create the linked Employee record in BambooHR's HRIS. We do not migrate mploy automations or workflows because no automation layer is documented for mploy; we deliver a written guide to BambooHR's built-in hiring pipeline automation features (stage triggers, email templates, onboarding task assignments) for the admin to configure post-migration.

Platform deep dives

Context on both ends of the pair

mploy logo

mploy

Source

Strengths

  • Flat-rate pricing at $89/month simplifies budgeting for small businesses without per-seat cost surprises.
  • Covers core ATS lifecycle from job posting through candidate tracking in a single tool.
  • Competitively positioned against established ATS vendors in the small-business segment.
  • Targeted at small teams needing basic applicant tracking without enterprise complexity.

Weaknesses

  • Zero verified reviews on major platforms (G2, Capterra) prevents independent quality assessment.
  • No visible public API documentation or developer portal limits automation and integration options.
  • Scarce public information about data export capabilities makes migration planning speculative.
  • Small vendor presence raises platform longevity concerns for customers with multi-year data commitments.
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 mploy 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

    mploy: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your mploy 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 mploy to BambooHR data migrations

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

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Most migrations land between two and three weeks for accounts with under 500 candidates and 50 jobs with no custom fields. The critical path is the discovery and custom field enumeration phase, which adds one to two business days before mapping can begin. Migrations with extensive custom field schemas, document archives requiring separate file handling, or multiple historical job requisitions move to five to eight weeks because of the additional field enumeration and configuration validation work. The BambooHR standard implementation timeline (four to six weeks per BambooHR's published roadmap) runs in parallel with or after the migration scope.

Adjacent paths

Related migrations to explore

Ready when you are

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