HRMS migration

Migrate from PageUp to BambooHR

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

PageUp logo

PageUp

Source

BambooHR

Destination

BambooHR logo

Compatibility

64%

7 of 11

objects map 1:1 between PageUp and BambooHR.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

PageUp and BambooHR are architecturally different platforms. PageUp is an enterprise talent management suite covering recruiting, performance, learning, and succession with complex multi-region datacentre routing and OAuth JWT-protected exports. BambooHR is a core HRIS designed for small to mid-market teams with an optional ATS module, a fixed field-request API model, and HTTP Basic Auth. The migration is primarily a records extraction from PageUp's Exports API, followed by a structured import into BambooHR's employee, applicant, and time-off tables. We extract Candidate records, Position data, Employee records, Performance review data, and Onboarding status. Workflow definitions, approval chains, learning paths, succession plans, and custom E-forms are configuration data that do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in BambooHR or document as gaps. The BambooHR ATS module is an optional add-on requiring separate licensing and does not ship with BambooHR's base Core or Pro plans—migrations scoped around recruiting data must confirm the ATS tier before we configure the destination schema.

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

PageUp logo

PageUp

What's pushing teams away

  • Custom enterprise pricing with no public tiers creates budget uncertainty and makes cost-of-ownership comparisons with alternatives difficult
  • Some UI and feature areas feel dated compared to newer talent management competitors, leading to friction for users expecting modern UX patterns
  • Platform complexity and custom workflows mean new administrators face a steep learning curve before becoming productive
  • Integration-heavy environment means migrations involve re-establishing dozens of third-party connections in the destination system
  • Recruiting process inefficiencies—slow approvals and candidate drop-off—generate hidden operational costs that add up annually

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 PageUp objects map to BambooHR

Each row shows how a PageUp 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.

PageUp

Candidate

maps to

BambooHR

Employee (with ATS extension)

1:many
Fully supported

PageUp Candidate records contain applicant data, hiring stage status, evaluations, and resume file references. BambooHR does not have a native Candidate object in its base Core or Pro tiers—the ATS module creates a separate applicant tracking schema. We assess whether BambooHR's ATS is in scope during scoping. If ATS is licensed, candidates migrate as Applicants linked to Job Openings; if ATS is not in scope, we extract candidate contact information (name, email, phone, resume) and map it to Employee records with a source_candidate__c custom flag, and the recruiting history is documented as a manual import using BambooHR's CSV import tool. Resume file extraction requires separate file-level handling via PageUp's document endpoints.

PageUp

Position

maps to

BambooHR

Job Opening (ATS add-on) or Custom Object

lossy
Fully supported

PageUp Positions include job postings, sourcing channel metadata, candidate pipeline metrics, and posting status. If BambooHR's ATS module is in scope, Positions map to Job Openings with status, department, and location preserved. If ATS is not licensed, Positions are documented as a separate record set requiring manual entry or a CSV import post-migration. Job board association metadata from PageUp (e.g., which board a position was posted to) has no direct BambooHR equivalent and is noted as a gap requiring manual documentation.

PageUp

Employee Record

maps to

BambooHR

Employee

1:1
Fully supported

PageUp Employee records include personal data, employment history, organisational structure, compensation effective dates, and custom fields. We map standard fields (first name, last name, work email, hire date, termination date, job title, department, location) to BambooHR's employee fields. Custom fields on PageUp are fetched by dynamic field ID during export and must be mapped to BambooHR custom fields created via GET /v1/meta/fields before import. BambooHR does not paginate employee list responses—all employees return in a single API call, so large organisations produce substantial payloads requiring chunked processing.

PageUp

Performance Review

maps to

BambooHR

Employee (Performance add-on or custom fields)

lossy
Fully supported

PageUp Performance Review cycles, ratings, goals, competency scores, and feedback notes are stored per employee. BambooHR's Performance Management module (Pro and Elite tiers only) supports review cycles, 360-degree feedback, 1:1s, and goal tracking. We extract review templates and historical review data from PageUp. If the customer has BambooHR Performance licensed, reviews migrate as Performance Review records; if not, we map review ratings and goals to custom fields on the Employee record and document the gap in the performance module as a post-migration configuration item.

PageUp

Onboarding Record

maps to

BambooHR

Onboarding (BambooHR base feature)

1:1
Fully supported

PageUp Onboarding tasks, checklist progress, and new hire document completion status migrate to BambooHR's onboarding checklist feature, which is included in Core. We extract the current onboarding task state per employee and map open tasks to BambooHR's task format. Step sequencing, automated task triggers, and new hire document e-signature flows in PageUp are tenant-specific workflow logic and do not migrate as automation; we document the original step sequence for the customer's admin to reconfigure in BambooHR.

PageUp

Time Off

maps to

BambooHR

Time Off

1:1
Fully supported

PageUp time-off entitlements and request history migrate to BambooHR Time Off management, which is included in Core. We extract accrual balances, approved requests, and pending requests. Note that PageUp may track time off within a broader absence management module; BambooHR's Time Off uses separate Allowance and Request objects. We resolve the mapping between PageUp absence types and BambooHR policy types during scoping and apply the conversion at import time.

PageUp

Employee Document

maps to

BambooHR

Employee Files

1:1
Fully supported

PageUp stores employee documents (contracts, signed forms, performance records) with binary file content and metadata. We extract document metadata and binary files via PageUp's document endpoints. BambooHR's employee file storage accepts documents attached per employee record via the Files feature. We map document type from PageUp (e.g., employment contract, compliance acknowledgement) to BambooHR file category or custom employee field. Document naming conventions and folder hierarchy in PageUp are flattened into flat file attachments per employee in BambooHR.

PageUp

Background Check

maps to

BambooHR

Custom Field or Note

1:1
Fully supported

PageUp Background Check status and summary fields export cleanly, but PDF or image report files require separate file-level extraction via document endpoints. We extract background check status data and map it to a custom employee field (background_check_status__c) or a Note attachment in BambooHR. Customers must verify that their background check vendor agreements permit data transfer before migration, as vendor contracts often restrict movement of screening reports across systems.

PageUp

Workflow

maps to

BambooHR

N/A

lossy
Fully supported

PageUp custom recruiting workflows, approval chains, stage gates, and automation triggers are tenant configuration data, not record data. The Exports API extracts record-level data only. We document every active PageUp workflow with its trigger conditions, stage sequence, and action list and deliver this as a written workflow recreation guide for the customer's PageUp administrator. BambooHR does not have a workflow engine comparable to PageUp's; customers seeking automation after migration use BambooHR's workflow approvals for time-off and document signing, but custom hiring pipelines and approval chains require manual rebuild or a third-party automation layer.

PageUp

Learning Module

maps to

BambooHR

N/A

1:1
Fully supported

PageUp courses, training records, completion status, scores, and enrollment history are stored in its LMS module. BambooHR has no native learning management capability. We extract training completion records and map them to a custom field group on the Employee record (training_completed__c, training_date__c, course_name__c) or to a custom Learning History object. The customer should evaluate a dedicated LMS (Docebo, TalentLMS, or similar) for ongoing learning management; we flag this as a parallel system decision rather than a direct migration target.

PageUp

Succession Plan

maps to

BambooHR

N/A

1:1
Fully supported

PageUp Succession Planning records map roles to identified successors with readiness ratings. BambooHR does not have a native succession planning module. We extract succession plan definitions and incumbency data as a structured export and deliver it as a CSV mapping document for the customer's HR team to maintain in a spreadsheet or evaluate BambooHR's partner ecosystem for succession-specific tools. This is a gap that requires a business-process decision rather than a data migration.

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.

PageUp logo

PageUp gotchas

High

Multi-datacentre routing requires correct tenant datacentre identification

Medium

OAuth JWT token scopes gate export access per endpoint

Medium

Custom workflow logic does not export as data and must be manually rebuilt

Low

Background check document files require separate file-level extraction

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

  • PageUp datacentre routing must be identified before any export

    PageUp operates across multiple datacentres identified by dataCentreId (e.g., dc2). The API root URL differs based on which datacentre hosts the tenant's instance. We identify the correct datacentre during scoping by checking the customer's admin portal URL. Using the wrong datacentre results in OAuth JWT authentication failures and zero data returned. We log the datacentre identifier and include it in all export configuration before extraction begins. This is a scoping gate that must be resolved before we can begin any data extraction work.

  • BambooHR ATS is a separate add-on, not part of base licensing

    BambooHR's applicant tracking system is a separate product tier, not included in the Core ($10/employee/month) or Pro ($17/employee/month) plans. ATS functionality costs an additional $99-$199/month flat and supports 5-50 job openings depending on the plan. PageUp's recruiting module is bundled in the base platform. Migrations scoped with candidate and position data must confirm whether the customer has licensed BambooHR ATS before we configure the destination schema. If ATS is not licensed, candidate records map to Employee records with a migration flag and recruiting history is handled via CSV import.

  • BambooHR custom field IDs are account-specific and must be fetched dynamically

    BambooHR uses a field-request model requiring you to specify which fields to return, and custom field IDs are numeric and account-specific. The full list of available field IDs—including custom ones—must be fetched via GET /v1/meta/fields per customer before we can map PageUp custom fields to BambooHR custom fields. We cannot hardcode custom field IDs across customers. We create the destination custom fields first, then fetch the newly assigned IDs, then build the import mapping. This adds a discovery round to the scoping phase.

  • BambooHR rate limiting uses 503, not 429

    BambooHR does not publish exact rate limits and uses HTTP 503 (Service Unavailable) to signal rate limit hits rather than the standard 429 (Too Many Requests). The practical limit is approximately 100 requests per minute per API key. We implement exponential backoff on 503 responses and pace batch imports accordingly. PageUp's Exports API rate limits are not publicly documented, so we pace exports conservatively using the OAuth scope as a guide. Misidentifying 503 as a server error rather than a rate limit causes unnecessary retries and migration delays.

  • PageUp custom workflows and E-forms do not migrate as data

    Workflow definitions, E-form templates, approval chains, and automation triggers in PageUp are configuration data stored in the workflow engine, not record data. The Exports API extracts record-level data only. We deliver a written inventory of every active workflow and E-form with its structure, field references, and routing logic, plus a recreation guide mapping each PageUp workflow element to the nearest BambooHR equivalent. The customer must allocate admin time post-migration to rebuild these manually; BambooHR's workflow approvals cover time-off and document signing but do not replicate PageUp's recruiting pipeline stage gates.

Migration approach

Six steps for a successful PageUp to BambooHR data migration

  1. Scoping and datacentre identification

    We begin by identifying the customer's PageUp tenant datacentre from their admin portal URL and confirming the OAuth JWT credentials scope (Public.Exporter.Read and Public.Exporter.Write). We audit the PageUp tenant for active modules in scope: Candidates, Positions, Employee Records, Performance Reviews, Onboarding, Time Off, Background Checks, and any custom fields. We simultaneously identify the BambooHR destination domain, confirm the ATS add-on tier if recruiting data is in scope, and create a custom fields sheet by fetching GET /v1/meta/fields. The scoping output is a written migration scope with record counts per object, a custom field mapping table, and a datacentre-confirmed export configuration.

  2. Authentication and export configuration

    We configure the export pipeline using PageUp's Exports API with OAuth JWT authentication scoped to the identified datacentre. We configure export field selections for each object to match the BambooHR destination field schema, applying the custom field ID mapping from the scoping phase. Export jobs on PageUp are asynchronous; we poll for completion, handle job failures with retry, and log every exported record with a source ID for reconciliation. File attachments (resumes, background check documents) are queued separately via the document endpoints and packaged alongside the parent record export.

  3. BambooHR schema preparation

    We create all required custom fields in the BambooHR destination account using the numeric field IDs returned by GET /v1/meta/fields. Custom fields are named to match their PageUp counterparts as closely as possible. If BambooHR Performance is licensed, we configure review cycle templates to match the extracted PageUp review structure. If the ATS module is not licensed, we configure a custom source_candidate__c field to flag records that originated as candidates. We validate that the API key used for import inherits appropriate permissions from its source user account and confirm the rate limit baseline with a test batch of 10-20 employee records.

  4. Data extraction and transformation

    We extract all objects in dependency order: Employee records (as the primary entity with the most relationships), Time Off balances and history, Onboarding task state, Performance review data, and Candidate/Position data. Custom fields are resolved by dynamic field ID. Background check status maps to a custom employee field; PDF documents are extracted separately and stored with the employee file attachment. PageUp E-forms, learning records, and succession plans are extracted as structured CSV exports and documented as gaps requiring manual handling. We apply field type conversions (PageUp date formats to BambooHR date fields, multi-select values to comma-separated strings, etc.) during the transform phase before writing to the import staging area.

  5. Sandbox validation and reconciliation

    For organisations with more than 200 records in any object, we run a validation migration into a BambooHR sandbox or parallel test account before production. We reconcile record counts against the PageUp source (total employees imported vs. total employees extracted, total time-off entries, total onboarding tasks, etc.) and spot-check 25-50 random employee records field by field. Reconciliation discrepancies are resolved in the transform layer before the production migration begins. Any BambooHR validation rules (required field formats, conditional requireds) are identified and temporarily adjusted by the customer's BambooHR admin during load if blocking.

  6. Production migration and cutover

    We run the production migration in dependency order: Employee records first (with custom fields resolved), Time Off, Onboarding state, Performance reviews, Candidate/Position data (if ATS is licensed), and file attachments last. Each phase emits a row-count reconciliation report. We freeze PageUp writes during the cutover window, extract a final delta of any records modified during migration, apply the delta, then enable BambooHR as the system of record. We deliver the workflow and E-form inventory document to the customer's PageUp administrator for manual rebuild. We support a five-business-day hypercare window for reconciliation issues raised by the HR team post-go-live.

Platform deep dives

Context on both ends of the pair

PageUp logo

PageUp

Source

Strengths

  • Single platform covering recruiting, performance, learning, and succession reduces data silos across HR functions
  • Multi-datacentre architecture with OAuth JWT API enables secure programmatic access for integration and migration
  • Highly customisable workflow builder lets enterprises model complex hiring and approval processes
  • Strong integration ecosystem with 150+ third-party tools including HRIS, calendar, and background check providers
  • Established enterprise track record since 1997 with references across global mid-market and large organisations

Weaknesses

  • No public pricing tiers makes budget planning and competitive comparisons difficult for prospects
  • Custom workflow complexity creates steep onboarding curve for new administrators and HR teams
  • Some interface elements and feature areas feel outdated relative to newer talent management competitors
  • Integration dependencies mean migrations require rebuilding numerous third-party connections from scratch
  • Enterprise-only positioning limits appeal for small and medium businesses seeking simpler HR solutions
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 PageUp and BambooHR.

B

Overall complexity

Standard migration

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

  • Object compatibility

    A

    All 7 core objects map 1:1 between PageUp 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

    PageUp: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your PageUp 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 PageUp to BambooHR data migrations

Answers to the questions buyers ask most during PageUp 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 1,500 employee records with no performance history and no ATS data. Migrations with full performance review cycles, active candidate pipelines, onboarding checklists, and multiple custom fields move to eight to twelve weeks because of field-level reconciliation per module and BambooHR ATS configuration if recruiting data is in scope. PageUp's multi-datacentre architecture and the requirement to fetch custom field IDs per destination account add scoping time that affects the timeline but not the import execution itself.

Adjacent paths

Related migrations to explore

Ready when you are

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