HRMS migration

Migrate from JOIN to BambooHR

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

JOIN logo

JOIN

Source

BambooHR

Destination

BambooHR logo

Compatibility

70%

7 of 10

objects map 1:1 between JOIN and BambooHR.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

JOIN and BambooHR serve different stages of the hiring lifecycle. JOIN is a recruiting ATS built around Job postings, Candidate pipelines, and interview scorecards. BambooHR is a core HRIS that manages Employees, Onboarding, Time Off, Benefits, and optional ATS job listings. The migration from JOIN to BambooHR is therefore a two-part challenge: transferring recruiting data into BambooHR's optional ATS module (where supported) and managing the gap where JOIN's candidate-centric records must be restructured as employee records in BambooHR's HRIS. We handle the parent-record resolution (Job linking to the correct BambooHR department or location), the candidate-to-employee field mapping, the stage-history preservation as custom metadata, and the resume file ingestion. We do not migrate JOIN's Activity timeline (email threads, scheduled events, interview activity) because JOIN's API does not expose a bulk export endpoint for that data. We deliver a written handoff of any recruiting workflow, scorecard template, or job board distribution list requiring manual rebuild in 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

JOIN logo

JOIN

What's pushing teams away

  • Users report bugs and account downgrades that cause data loss, disrupting active hiring pipelines and leading recruiting teams to seek more stable alternatives.
  • Employer branding tools and candidate experience features lag behind competitors, causing larger companies with strong employer brand priorities to migrate to platforms with more polished candidate-facing pages.
  • Pricing becomes opaque at higher volumes, with job posting credits and seat limits that generate unexpected overage charges at renewal time.
  • Customer support response times frustrate teams managing active pipelines, especially when urgent issues like posting failures or candidate data errors arise during peak recruiting periods.

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 JOIN objects map to BambooHR

Each row shows how a JOIN 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.

JOIN

Job

maps to

BambooHR

Job (BambooHR ATS) or Department/Position

lossy
Fully supported

JOIN Jobs (title, description, department, location, employment type, posting status) map to BambooHR ATS Job postings if the customer activates BambooHR's optional ATS module. If BambooHR ATS is not active, Jobs map to a structured Department plus a custom Position field that captures employment type and location metadata. We extract the full job record during scan, identify which Jobs are still open versus archived, and configure the destination accordingly during scoping. OPEN jobs migrate first; closed jobs migrate as historical reference records.

JOIN

Candidate

maps to

BambooHR

Employee (BambooHR ATS applicant)

1:1
Fully supported

JOIN Candidate records (contact info, work history, education, skills tags, source attribution, custom fields) map to BambooHR Employee records or BambooHR ATS Applicants depending on whether the candidate was hired. Hired Candidates become BambooHR Employees with employment start date populated from the JOIN offer or hire-stage date. Unhired candidates who need to be preserved become BambooHR ATS Applicants linked to the corresponding Job. We resolve the hired-versus-not-hired flag from the JOIN pipeline stage (Offer, Rejected, or Application status fields) before import.

JOIN

Application

maps to

BambooHR

Employment History or ATS Application

lossy
Fully supported

JOIN Applications (Candidate-to-Job join record with applied date, referral source, status) map to BambooHR ATS Application records if the customer uses BambooHR ATS, or to Employment History entries on the BambooHR Employee record if the candidate was hired. Applied date migrates as hire application date; referral source migrates as a custom Employee field. Status mapping uses the JOIN stage name (Applied, Screening, Interview, Offer, Rejected) to set the corresponding BambooHR ATS status or Employment status field.

JOIN

Pipeline Stage

maps to

BambooHR

Job Status or Employee Hire Stage

lossy
Fully supported

JOIN stage sequences (which vary per Job and per plan) migrate as metadata attached to the Job or Employee record rather than as native stage gates, because BambooHR's ATS module does not enforce a custom stage pipeline the way JOIN does. We preserve the full stage-entry date sequence as a custom field group (stage_1_entry_date, stage_2_entry_date, etc.) so that timing context is not lost. Where the destination is BambooHR without ATS, stage history lands as a free-text notes block on the Employee record.

JOIN

Scorecard / Interview Feedback

maps to

BambooHR

Employee Custom Fields or Document Attachment

1:1
Fully supported

Structured interview scorecards and free-text evaluation notes migrate as a custom Employee field (long-text type) or as a linked Document record in BambooHR's document storage, depending on the scorecard complexity. Rubric-based scorecards with numeric ratings are flattened into text format (Interviewer, Rating, Comments per criterion) and preserved in reading order. The destination format is agreed during scoping.

JOIN

Custom Fields (Candidate)

maps to

BambooHR

Custom Fields (Employee)

1:1
Fully supported

JOIN Candidate custom fields (employer-defined, no standardised schema) map to BambooHR Employee custom fields created via BambooHR's Custom Field Builder (available from Essentials plan). We extract the full JOIN custom field schema during scan, surface each field at scoping, and the customer confirms the intended BambooHR equivalent (text, number, date, dropdown, checkbox). Fields with no clear BambooHR equivalent land as free-text custom properties and can be restructured post-migration. JOIN custom fields on Jobs map to Job (ATS) custom fields or Department metadata.

JOIN

Resume / Attachment

maps to

BambooHR

Employee Document (Resume)

1:1
Fully supported

Candidate resume files export from JOIN and upload to BambooHR as Employee Documents with the Document Type set to Resume. JOIN returns files with non-standard filenames derived from internal IDs; we rename to the convention CandidateName_Position_ApplicationDate before ingestion to prevent filename collisions in bulk uploads and ensure files are identifiable in BambooHR's document list. Supporting documents (portfolios, cover letters) migrate as separate Document records with appropriate type labels.

JOIN

Owner

maps to

BambooHR

Employee (User)

1:1
Fully supported

JOIN Owners (recruiters, hiring managers) referenced on Candidates and Applications map to BambooHR Employees who correspond to the same individuals. We match by email address. Any JOIN Owner without a matching BambooHR Employee record is held in a reconciliation queue for the customer's admin to provision the corresponding Employee record before migration continues, because BambooHR Employee is a required parent for document and document-type assignments on records.

JOIN

Activity / Communication History

maps to

BambooHR

N/A

1:1
Fully supported

JOIN's internal email threads, scheduled interview events, and activity log entries cannot migrate because JOIN does not expose a documented bulk export endpoint for activity data. We flag this gap at scoping, instruct the customer on the manual CSV export path from the JOIN dashboard, and ingest that CSV as a reference document attached to the Employee or ATS Applicant record. Email templates from JOIN's communication tools are inventoried separately as a text handoff for the customer to rebuild in BambooHR's email template system.

JOIN

Job Board Distribution List

maps to

BambooHR

N/A (manual rebuild)

1:1
Fully supported

JOIN's job board distribution configuration (which of the 250+ boards each Job is posted to, posting dates, and status) has no direct BambooHR equivalent. BambooHR ATS supports a limited built-in job board and optional paid job board integrations but does not replicate JOIN's multi-board distribution model. We deliver a written inventory of each JOIN Job's distribution list as a handoff document for the customer's admin to recreate manually or through a third-party job aggregator.

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.

JOIN logo

JOIN gotchas

High

Activity log and communication history are not exported via JOIN API

Medium

Pipeline stage names vary per job and per plan

Medium

Custom fields on Candidates require manual equivalence review

Low

Resume and attachment export format is non-standard

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

  • JOIN Activity and Communication history has no bulk API export

    JOIN does not publicly expose email threads, scheduled events, or interview activity through a documented API endpoint. We can migrate Candidate profiles, Applications, Jobs, and Custom Fields via JOIN's API, but the internal activity timeline must be exported manually as a CSV from the JOIN dashboard before cutover. We flag this requirement at scoping, ingest the CSV alongside the API extract, and attach it as a reference document to the corresponding Employee or ATS Applicant record in BambooHR. The customer should begin the manual export process as soon as the migration start date is confirmed.

  • BambooHR has a 400-field API cap that affects large custom field schemas

    BambooHR's API enforces a 400-field cap per request on custom field retrieval. JOIN custom field schemas can be large across large candidate volumes. We chunk custom field reads to stay within the cap and route field groups in sequence. If the customer's JOIN schema has more than 400 active custom fields across all objects, we flag the overflow at scoping and recommend collapsing low-value fields into free-text blocks before migration.

  • BambooHR's ATS module is optional and has limited recruiting workflow depth

    BambooHR ATS is an add-on to the core HRIS, not a native ATS. It does not support custom pipeline stage sequences, multi-stage scorecard templates, or 250+ job board distribution the way JOIN does. If the customer expects BambooHR ATS to fully replace JOIN's recruiting features, we surface the functional gap during scoping. Jobs, Applications, and pipeline stages migrate as structured data, but recruiting workflows, scorecard templates, and job board distribution lists require manual rebuild in BambooHR ATS or a third-party job aggregator.

  • JOIN Pipeline stages vary per job and per plan with no universal schema

    JOIN does not enforce a universal stage sequence. Each Job can have a custom stage order, and some plan tiers restrict stage customisation. We extract the full stage list per Job during scan and build a customer-specific mapping table. BambooHR ATS does not support per-job custom stage pipelines; we collapse the stage sequence into a flat stage history attached to the Job or Employee record, preserving stage-entry timestamps so timing context is not lost.

  • Resume filename normalisation is required before BambooHR ingestion

    Candidate resume files are accessible via JOIN but may be returned with non-standard filenames derived from JOIN's internal IDs. We normalise filenames to the convention CandidateName_PositionTitle_ApplicationDate during the export phase. This prevents filename collisions in bulk uploads and ensures files are identifiable in BambooHR's document list without manual renaming by the customer's admin.

Migration approach

Six steps for a successful JOIN to BambooHR data migration

  1. Discovery and scoping

    We audit the source JOIN account: active and archived Jobs, total Candidates, Application volume, custom field schema across Candidates and Jobs, pipeline stage sequences per job, scorecard templates, Owner assignments, and attachment file counts. We confirm whether BambooHR ATS is active or will be activated as part of the migration, because this determines how aggressively we can map recruiting-specific objects. We deliver a written migration scope document with a record-count estimate, a list of JOIN custom fields requiring a BambooHR equivalent, and a flag list of data that JOIN cannot export via API (Activity history, email threads). We identify any JOIN Owners without a corresponding BambooHR Employee and raise the provisioning requirement before migration begins.

  2. Schema design and BambooHR custom field provisioning

    We design the destination BambooHR schema. This includes creating Employee custom fields to receive JOIN Candidate data, configuring Department and Location records to map from JOIN Job data, and setting up BambooHR ATS Job postings (if applicable) with the correct department and position mapping. We deploy custom fields via BambooHR's Custom Field Builder interface. We also build the stage-history preservation template (custom fields or document-attached notes block) agreed during scoping. The schema is validated in BambooHR's sandbox or test environment before any production data moves.

  3. Test migration and reconciliation

    We run a full test migration into a BambooHR test account using production-like record volume. The customer's HR lead reconciles record counts (Employees in, Job postings in, Documents in), spot-checks 25-50 random records against the JOIN source, and reviews the stage-history attachment format. Any field mapping corrections, custom field type adjustments, or document naming issues are resolved here. This step prevents data-quality issues from reaching production.

  4. File export and normalisation from JOIN

    We export all candidate resume files and supporting attachments from JOIN, normalise filenames to the CandidateName_PositionTitle_ApplicationDate convention, and batch them for ingestion. We simultaneously extract the Activity and Communication history CSV from the JOIN dashboard (manual step guided by our scoping instructions). This parallel work reduces the overall migration timeline by ensuring files and activity data are ready before the API-driven record migration begins.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Departments and Locations (mapped from JOIN Job data), Employees (from JOIN Candidates, split into hired and not-hired), ATS Jobs (mapped from JOIN Jobs, if BambooHR ATS is active), ATS Applications (from JOIN Applications, if ATS is active), Scorecards and Interview Feedback (as custom Employee fields or Document attachments), Custom Field data for each record, and Resume files as Employee Documents. Each phase emits a row-count reconciliation report before the next phase begins. Owner resolution runs throughout, holding records with unresolved Owner references in a queue.

  6. Cutover, validation, and workflow rebuild handoff

    We freeze JOIN write access during cutover, run a final delta migration of any records modified during the migration window, then set BambooHR as the system of record. We deliver the Activity history CSV (from the manual JOIN export) as a reference document attached to each relevant Employee record. We deliver a written inventory of recruiting workflows, scorecard templates, and job board distribution lists requiring manual rebuild in BambooHR ATS, including any BambooHR ATS feature gaps that require a third-party tool. We support a three-day hypercare window for reconciliation issues and then hand off. We do not rebuild recruiting workflows, scorecard templates, or job board distribution lists as part of the migration scope; these are separate workstreams for the customer's HR admin.

Platform deep dives

Context on both ends of the pair

JOIN logo

JOIN

Source

Strengths

  • Free Standard tier (up to 2 active job ads on 15+ free boards) lowers the entry bar for small businesses to test the platform with no commitment.
  • One-click distribution to 250+ job boards including German staples like StepStone and Indeed Germany makes it especially efficient for DACH-region hiring.
  • Unlimited team seats on every paid tier removes per-recruiter pricing friction common in enterprise ATSs.
  • Per-job pricing (€20/job Standard, €40/job Advanced) lets teams scale spend with active req count rather than headcount.
  • API access on Advanced tier (and Enterprise) plus custom integrations on Enterprise enables HRIS and downstream tooling synchronisation.

Weaknesses

  • Free tier is capped at 2 active job ads; teams running more than 2 reqs at once must upgrade.
  • API access is gated behind the Advanced tier (€40/job/month) — Standard customers cannot integrate programmatically.
  • Per-job pricing scales linearly with active reqs, so high-volume recruiters can end up paying more than enterprise ATSs with flat licensing.
  • Annual contracts are restricted to Enterprise; monthly billing only for Standard and Advanced.
  • Enterprise pricing not published — companies needing custom integrations must engage sales to benchmark cost.
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 JOIN 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

    JOIN: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your JOIN 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 JOIN to BambooHR data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Migrations under 500 Candidates, 50 active Job postings, and no complex custom field schemas land between three and five weeks. Migrations with 500+ Candidates, BambooHR ATS activation for the first time, or large document volumes (over 1,000 resume files) move to seven to ten weeks because of schema redesign, file ingestion testing, and BambooHR's 400-field API chunking. Activity history CSV preparation by the customer (the manual JOIN export) runs in parallel and does not add to the migration timeline if started early.

Adjacent paths

Related migrations to explore

Ready when you are

Move from JOIN.
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