HRMS migration

Migrate from Greenhouse to BambooHR

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

Greenhouse logo

Greenhouse

Source

BambooHR

Destination

BambooHR logo

Compatibility

30%

3 of 10

objects map 1:1 between Greenhouse and BambooHR.

Complexity

BStandard

Timeline

1-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Greenhouse to BambooHR is a schema simplification, not a field-for-field copy. Greenhouse separates Candidates from Applications with a one-to-many relationship; BambooHR uses a flat applicant record attached to each job opening. We split Greenhouse's relational model into BambooHR's flat structure at migration time, preserving candidate profiles, application history, job data, and compensation fields. Scorecards, interview kits, and Greenhouse's structured hiring workflows do not have a BambooHR equivalent and are delivered as a written rebuild inventory. We use Greenhouse's Harvest API v3 to extract data, transform records through the schema split, and load into BambooHR via its REST API with chunking and error reporting. Active candidates in-flight at migration cutover require a manual export step in the Greenhouse UI, which we plan and document as part of the migration schedule.

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

Greenhouse logo

Greenhouse

What's pushing teams away

  • Annual contract costs scale steeply with headcount, and add-ons like sourcing automation, texting, and advanced analytics require upgrading to Plus or Pro above Core.
  • Implementation takes 1–3 months to configure workflows, scorecards, integrations, and train hiring managers — a longer ramp than some newer ATS competitors.
  • Some agency users report that outreach and CRM-style candidate nurture features lag behind purpose-built recruiting CRMs, creating manual follow-up work.
  • Reporting requires manual interpretation in Core tier; AI-powered filters and Business Intelligence Connector are locked behind paid upgrades that mid-market teams find hard to justify.

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 Greenhouse objects map to BambooHR

Each row shows how a Greenhouse 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.

Greenhouse

Candidate

maps to

BambooHR

Applicant

1:many
Fully supported

Greenhouse Candidates are the person record with contact details, social URLs, tags, and custom field values. BambooHR Applicants are flat records tied to a specific job opening. We split Greenhouse's one-to-many Candidate-to-Application relationship by creating one BambooHR Applicant per Application and linking contact fields to the same underlying person record where applicable. Email deduplication across applications is handled by the customer-configured applicant matching rules in BambooHR.

Greenhouse

Application

maps to

BambooHR

Application

1:1
Fully supported

Each Greenhouse Application (a Candidate's candidacy for a specific Job) maps directly to a BambooHR Applicant record. We preserve the application date, rejection or hire status, stage history timestamps, and source attribution. Note that BambooHR does not expose a dedicated Application object in the same way Greenhouse does; the applicant record itself carries the application state.

Greenhouse

Job

maps to

BambooHR

Job

1:1
Fully supported

Greenhouse Jobs (requisition-level records) map to BambooHR Jobs. We preserve job title, department, office location, open/closed status, opening date, and job description. BambooHR does not support job boards, careers page hosting, or job distribution as native ATS features, so any Greenhouse-sourced job board URLs are preserved as a metadata reference list for the customer's team to re-create in BambooHR's job posting tool or external careers page.

Greenhouse

Offer

maps to

BambooHR

Custom fields on Applicant

lossy
Fully supported

Greenhouse's dedicated Offer object stores compensation, start date, equity details, and offer status (pending, accepted, declined, retracted). BambooHR has no formal offer object; offer data must be captured as custom fields on the applicant record or managed manually after the hire is recorded. We migrate offer values as custom fields on the BambooHR Applicant and flag offer status fields that the customer must define in BambooHR's custom field builder before migration.

Greenhouse

Scorecard

maps to

BambooHR

Custom fields on Applicant

lossy
Fully supported

Greenhouse stores structured scorecard ratings (interviewer, date, question, selected rating, optional free-text notes) as nested objects under Applications. BambooHR has no scorecard or structured evaluation feature. We extract each scorecard rating as a separate custom field on the BambooHR Applicant (scorecard_interviewer_name, scorecard_date, scorecard_rating_value) and document the full scorecard structure in the rebuild inventory. Free-text feedback and evaluation rubric metadata cannot be preserved because BambooHR has no structured notes or form builder for interview feedback.

Greenhouse

Interview Kit

maps to

BambooHR

Custom fields on Job

lossy
Fully supported

Greenhouse Interview Kits store structured interview questions and evaluation rubrics scoped to specific jobs. BambooHR has no equivalent feature for defining structured interview questions or rating rubrics per job. We map the kit title and key question themes as custom text fields on the BambooHR Job record and document the full interview kit structure in the rebuild inventory for the customer's team to set up manually in BambooHR's job requirements or custom field builder.

Greenhouse

Custom Field

maps to

BambooHR

Custom Field

lossy
Fully supported

Greenhouse supports custom fields across value types including short_text, long_text, yes_no, single_select, multi_select, currency, number, date, url, and user reference. We map each Greenhouse custom field to an equivalent BambooHR custom field of matching type. Multi-select fields are stored as comma-separated text in BambooHR. Currency fields use BambooHR's currency field type. User reference fields (pointing to Greenhouse users) are stored as the user's name in a text field unless a matching BambooHR employee record exists.

Greenhouse

Office and Department

maps to

BambooHR

Location and Department

lossy
Fully supported

Greenhouse Offices and Departments (flat or tiered hierarchical structures) map to BambooHR Locations and Departments. Exact value matching is required for the integration to function. We validate that all Greenhouse department and office values exist as exact-match values in BambooHR's Location and Department fields before migration. Any values that do not match are flagged for the customer's admin to pre-create in BambooHR or remap to an existing value.

Greenhouse

Tag

maps to

BambooHR

Custom field (text)

lossy
Fully supported

Tags on Greenhouse Candidates and Applications migrate as comma-separated text values in a custom field on the BambooHR Applicant record. BambooHR does not have a native tag or label system for applicant records. We preserve the tag labels and note any tag-to-category mapping the customer has defined in Greenhouse for manual recreation in BambooHR's custom field structure.

Greenhouse

Candidate Document and Attachment

maps to

BambooHR

Employee Document

1:1
Fully supported

Resumes, cover letters, and portfolio files attached to Greenhouse Candidates or Applications migrate as files linked to the corresponding BambooHR Applicant record. We extract files via Greenhouse's Harvest API, handle base64 encoding, and upload to BambooHR's document management via its file upload API. Resume files are associated with the applicant record using BambooHR's document folder structure. Any binary file type not supported by BambooHR's upload API is flagged in the migration report.

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.

Greenhouse logo

Greenhouse gotchas

High

Bulk candidate import requires Plus or Pro tier

High

Active candidate migration is entirely manual

Medium

Historical migration takes 4–6 weeks for Greenhouse to process

Medium

Developer sandbox and audit log are Pro-only

Medium

CRM event limits in Core tier constrain activity history

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

  • Department and Location values must exactly match between systems

    The Greenhouse-to-BambooHR integration (and our migration) requires exact value matching for Department and Office fields. If a Greenhouse Department is 'Engineering' and BambooHR's Department field has 'Eng' or 'R&D', the export or import silently skips that field. We pre-validate all department and office values against BambooHR's configured options before migration and remap any mismatched values to the closest existing BambooHR field value or flag them for the customer's admin to pre-create in BambooHR under Settings > Employee Fields.

  • Job titles must be pre-created in BambooHR before candidate export

    BambooHR only accepts candidate job title values that already exist in the BambooHR job title list. New job titles must be added under Settings > Employee Fields before any candidate record containing that title is imported. We validate every Greenhouse job title against BambooHR's pre-existing job title list during scoping and create a pre-migration checklist of any new titles the customer must add in BambooHR before the production migration runs. Records with unlisted job titles will be rejected or imported with a blank title field.

  • Scorecard and interview kit structure has no BambooHR equivalent

    Greenhouse's structured scorecards, interview plans, and evaluation rubrics are a core part of its structured hiring philosophy and cannot be mapped to any BambooHR feature. BambooHR has no form builder for interview questions, no structured rating rubric, and no evaluator feedback collection tied to specific jobs or applications. We extract the scorecard ratings as custom fields on the applicant record, but the evaluation framework, rubric structure, and free-text feedback are not migratable. The customer must rebuild their structured hiring framework in BambooHR's job requirements custom fields or accept a less structured interview process.

  • Candidate document extraction requires base64 encoding and API chunking

    Greenhouse stores candidate attachments (resumes, cover letters, portfolio files) as binary file objects. BambooHR's document upload API accepts file content as base64-encoded binary in the request body. We handle the extraction, base64 encoding, and chunked upload for each attachment, but file size limits and encoding overhead can slow migration for candidates with multiple large attachments. We extract attachments in parallel batches and flag any files exceeding BambooHR's upload size limit for manual handling.

  • Active candidate migration requires manual export from Greenhouse UI

    Greenhouse's documented migration process designates active candidate migration as a manual step performed by the customer's team in the Greenhouse UI, not via API. Candidates in-flight at migration cutover (not yet marked as hired, rejected, or withdrawn) must be exported from Greenhouse using the bulk candidate export and re-imported manually into BambooHR. We plan the cutover window to minimize the number of active candidates requiring manual handling, export them in a structured format matched to BambooHR's import template, and provide step-by-step instructions for the customer's team to complete the re-import post-go-live.

Migration approach

Six steps for a successful Greenhouse to BambooHR data migration

  1. Discovery and tier validation

    We audit the source Greenhouse account across subscription tier (Core, Plus, Pro), candidate and application record counts, job volume, custom field definitions and value types, scorecard and interview kit presence, attachment count and file size distribution, and any tier-gated objects (bulk candidate import availability, tiered office/department hierarchy). We use Greenhouse's Harvest API v3 to enumerate all records and their field schemas before designing the mapping. The discovery output is a written migration scope and a pre-migration checklist of values that must exist in BambooHR (job titles, departments, locations) before production migration begins.

  2. BambooHR pre-configuration checklist

    We work with the customer's BambooHR admin to validate and pre-create every value required for exact-match migration: all Greenhouse department values mapped to BambooHR Departments, all Greenhouse office values mapped to BambooHR Locations, all Greenhouse job titles pre-created in BambooHR under Settings > Employee Fields, and all Greenhouse custom field value types defined in BambooHR's custom field builder (text, date, currency, dropdown, multi-select). This step is a hard prerequisite for the production migration because mismatched values result in silent field skips or record rejection.

  3. Schema design and relational-to-flat transformation

    We design the migration schema to split Greenhouse's Candidate and Application objects into BambooHR's flat applicant model. The transformation includes: one BambooHR applicant record created per Greenhouse Application, contact fields mapped from the parent Greenhouse Candidate, scorecard ratings extracted as custom fields on the applicant, offer values mapped to custom fields on the applicant, and Greenhouse job linked as a reference field on the applicant record. We also define the custom field mapping table for all Greenhouse custom fields by type, noting multi-select collapse strategy and user reference conversion.

  4. Sandbox migration and reconciliation

    We run a full migration into BambooHR using a test job and test applicant records to validate the field mapping, custom field creation, document attachment upload, and error handling before any production records move. The customer's BambooHR admin reviews the test applicants, validates field content against the Greenhouse source, confirms document readability, and signs off the schema and mapping. Any mapping corrections, custom field type changes, or value mismatches are resolved here.

  5. Production migration in dependency order

    We run production migration in record order: Jobs first (required for applicant linking), then Applicants (with candidate contact fields, application history, and custom fields), then offer data and scorecard ratings (as custom fields on the applicant record), then candidate documents and attachments (parallel batched uploads with base64 encoding and chunking). Each phase emits a row-count reconciliation report showing records loaded, records skipped, and records requiring manual review. Active candidates in-flight at cutover are exported in a separate structured file for manual re-import by the customer's team.

  6. Cutover, validation, and rebuild handoff

    We freeze Greenhouse writes at cutover, migrate any records modified during the migration window as a delta pass, then enable BambooHR as the recruiting system of record. We deliver the full rebuild inventory covering: Greenhouse scorecard structure and evaluation rubrics requiring manual rebuild in BambooHR, Greenhouse interview kit themes requiring manual recreation in BambooHR job custom fields, Greenhouse pipeline stage and automation configuration outside migration scope, and a reference list of Greenhouse job board posting URLs for manual re-creation in BambooHR's job posting tool. We provide a one-week hypercare window for data discrepancy resolution.

Platform deep dives

Context on both ends of the pair

Greenhouse logo

Greenhouse

Source

Strengths

  • Structured hiring workflows built into the platform enforce consistent evaluation and reduce ad-hoc process variation across teams.
  • Clean, well-documented Harvest API v3 with OAuth 2.0 and published rate limiting policy supports reliable integration and export work.
  • Business Intelligence Connector delivers nightly ETL of candidate, application, job, and process data for reporting teams on Plus and Pro.
  • User-friendly candidate profile UI keeps all candidate data — resume, scorecards, activity log, offers — in a single scrollable view.
  • Configurable interview kits and scorecards let teams embed their evaluation rubric directly into the platform.

Weaknesses

  • Bulk candidate import is gated behind Plus and Pro tiers, meaning Core customers must perform manual candidate migration work post-go-live.
  • Historical data migration takes 4–6 weeks to complete, requiring customers to run two systems in parallel during that window.
  • Sourcing automation, texting, and advanced analytics are add-ons above Core that significantly increase the total cost of ownership.
  • Tiered offices and departments, audit logs, and developer sandbox are Pro-only, making those capabilities inaccessible to mid-market teams on Core or Plus.
  • Implementation timelines of 1–3 months delay time-to-value, particularly for organizations without dedicated HRIS integration resources.
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 Greenhouse 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

    Greenhouse: Not publicly documented with specific numbers; rate limits are applied separately for custom integrations and partner integrations with separate policies for each.

  • Data volume sensitivity

    A

    Greenhouse exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Greenhouse 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 Greenhouse to BambooHR data migrations

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

Can't find your answer?

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Most migrations land between one and three weeks for accounts under 5,000 candidates with no attachments or scorecard data. Migrations with large attachment libraries (resumes, cover letters, portfolio files), extensive custom fields, or scorecard rating data requiring per-rating field extraction push to three to six weeks because of base64 encoding overhead, custom field type mapping validation, and the BambooHR pre-configuration checklist work. Active candidate migration at cutover adds a separate manual step estimated at one to two days depending on volume.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Greenhouse.
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