HRMS migration

Migrate from TalentLyft to BambooHR

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

TalentLyft logo

TalentLyft

Source

BambooHR

Destination

BambooHR logo

Compatibility

82%

9 of 11

objects map 1:1 between TalentLyft and BambooHR.

Complexity

BStandard

Timeline

4-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from TalentLyft to BambooHR is a platform-category migration from a dedicated ATS to an all-in-one HRIS. TalentLyft organizes hiring around Candidates and Applications flowing through Pipeline Stages; BambooHR organizes hiring around Job Openings with an Applicant list. These are fundamentally different data models, and the migration requires remapping every TalentLyft Candidate to a BambooHR Job Applicant linked to a specific Job Opening. Pipeline stages do not have a native BambooHR equivalent and must be preserved as custom Applicant Status fields or lookup lists. Talent Pools — a core CRM concept in TalentLyft — have no native BambooHR counterpart and are delivered as a structured CSV with a rebuild recommendation for BambooHR's lookup system. We use TalentLyft's paginated private REST API for extraction (no bulk export endpoint exists) and BambooHR's REST API with rate-limit handling for import. Automation rules and email templates do not migrate; we provide a written inventory for the customer's admin to rebuild.

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

TalentLyft logo

TalentLyft

What's pushing teams away

  • Candidate communication lives partially in email rather than fully inside TalentLyft — replies from candidates route to recruiter inboxes, breaking single-platform visibility.
  • Large CV databases lack robust search and filtering options, making it difficult for high-volume hiring teams to surface relevant candidates efficiently.
  • Reporting and analytics lack depth for data-driven hiring teams — advanced pipeline analytics, trend analysis, and custom report builder are cited as missing or limited.
  • Pipeline customization is constrained, leaving teams with niche hiring workflows unable to model complex, role-specific recruitment processes.
  • User interface and visual design feel dated compared to newer ATS competitors, and the mobile app offers reduced functionality relative to the desktop experience.

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 TalentLyft objects map to BambooHR

Each row shows how a TalentLyft 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.

TalentLyft

Candidate

maps to

BambooHR

Job Applicant

1:1
Fully supported

TalentLyft Candidates map to BambooHR Job Applicants. The mapping is not a direct field-to-field copy because BambooHR Applicants are structurally tied to a specific Job Opening, whereas TalentLyft Candidates exist independently. We first import all Job Openings, then import each Candidate as an Applicant linked to the Job Opening that the candidate's original Application referenced. First name, last name, email, phone, and source information transfer directly. Custom candidate-level fields migrate to custom applicant fields in BambooHR.

TalentLyft

Application

maps to

BambooHR

Job Applicant (reconciliation)

1:1
Fully supported

Applications are the junction record linking a Candidate to a Job in TalentLyft. In BambooHR, this junction is implicit — the Applicant record exists within a Job Opening's applicant list. We preserve the application date, the original source (referral, job board, direct), and any application-level custom fields. If a single Candidate has Applications to multiple Jobs, we create one Applicant record per Job Opening. Pipeline stage at time of migration is preserved separately (see Pipeline Stages mapping).

TalentLyft

Job

maps to

BambooHR

Job Opening

1:1
Fully supported

TalentLyft Jobs map directly to BambooHR Job Openings. We transfer job title, department assignment, location, employment type (full-time, part-time, contract), and job description. The job's BambooHR ID is required before any Applicant records can be linked, so Job Openings are imported first in the dependency order. Status (open, closed, archived) maps to BambooHR's Job Opening status field.

TalentLyft

Pipeline Stage

maps to

BambooHR

Applicant Custom Status Field

lossy
Fully supported

TalentLyft Pipeline Stages have no native equivalent in BambooHR. BambooHR's applicant tracking uses a flat Applicant list without ordered stage progression. We resolve this by creating a custom Applicant Status picklist field in BambooHR that enumerates the customer's active Pipeline Stage names in their original order. We import each Applicant's current stage as the value of this custom field at migration time. Full stage-move history (which candidate passed through which stage on what date) is preserved in a structured notes field or as a JSON attachment on the Applicant record.

TalentLyft

Talent Pool

maps to

BambooHR

Structured Lookup List (CSV + Rebuild Plan)

many:1
Fully supported

Talent Pools are a core CRM concept in TalentLyft with no native BambooHR equivalent. We export each Talent Pool as a structured CSV containing pool name, member count, member names, emails, source dates, and any pool-level custom fields. In BambooHR, we create an Employee Lookup custom field (multi-select or tag-based) on the Employee record so that the customer's HR admin can manually associate employees with their Talent Pool origins post-migration. We also provide a rebuild plan recommending BambooHR's built-in Applicant Tags as a lightweight pool proxy for future sourcing.

TalentLyft

Education (Application sub-record)

maps to

BambooHR

Custom Applicant Fields or File Attachment

1:1
Fully supported

Education records in TalentLyft are sub-records on Applications with degree, institution, field of study, and dates. BambooHR does not have a native Education object on Job Applicants. We map education data to custom Applicant fields (Education Degree, Institution, Field of Study, Graduation Date) when the number of education records is small. For candidates with multiple education entries, we attach a structured file or notes entry preserving the full education history per Applicant.

TalentLyft

Experience (Application sub-record)

maps to

BambooHR

Custom Applicant Fields or File Attachment

1:1
Fully supported

Experience records (work history) in TalentLyft are sub-records on Applications with employer, title, dates, and description. Same as education — BambooHR Applicant records do not have a native Experience object. We map experience data to custom Applicant fields (Previous Employer, Previous Title, Employment Dates) for the most recent role, and attach the full work history as a structured file or notes entry for candidates with multiple positions.

TalentLyft

Custom Fields (Candidate-level)

maps to

BambooHR

Custom Applicant Fields

1:1
Mapping required

TalentLyft custom fields at the Candidate level vary per account and are fully user-defined. We retrieve field definitions via GET /v2/custom_fields before migration and build a typed mapping table that maps each custom field to a corresponding BambooHR custom Applicant field by name and type (text, number, date, dropdown). Customers with 10 or more custom fields require an explicit field-by-field mapping session during scoping. The custom field schema is account-specific — no two TalentLyft accounts have identical custom field sets.

TalentLyft

Custom Fields (Application-level)

maps to

BambooHR

Custom Applicant Fields

1:1
Mapping required

Application-level custom fields in TalentLyft store per-application metadata such as interview scores, offer details, or compliance flags. We map these to BambooHR custom Applicant fields using the same typed mapping approach as Candidate-level fields. Application-level custom fields are prioritized over Candidate-level fields when field names overlap, since the Application-level value reflects the most recent stage context.

TalentLyft

Department

maps to

BambooHR

Department

1:1
Fully supported

Departments in TalentLyft map directly to Departments in BambooHR. We preserve department names and IDs and link them to Job Openings at import time. Departments are imported before Jobs to satisfy the referential integrity requirement in BambooHR's hiring module.

TalentLyft

Location (Site)

maps to

BambooHR

Location

1:1
Fully supported

TalentLyft Locations (sites) used on Jobs to specify where a role is based map to BambooHR Locations. We migrate location records and link them to Job Openings at the destination. BambooHR Locations are used across Jobs and the HR core module for employee home office or work site assignment.

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.

TalentLyft logo

TalentLyft gotchas

High

No bulk export API forces chunked migration

High

Post-export activity is not migrated

Medium

Custom field schema is per-account with no export schema endpoint

Medium

Automation rules and email templates not portable

Low

Application-level education and experience require parent-record resolution

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

  • BambooHR ATS module is a separate paid add-on

    BambooHR's base HRIS license does not include the Applicant Tracking System. The ATS module is an additional $99-$199 per month on top of the per-employee HRIS license. If the customer's migration scope includes moving active Job Openings and Applicants, they must confirm ATS module availability on their BambooHR plan before migration. We scope the migration assuming the ATS module is active. If it is not, we adjust the destination object mapping to include ATS provisioning as a pre-migration step with the customer's BambooHR account team.

  • No bulk export API in TalentLyft requires chunked extraction

    TalentLyft's private REST API operates on individual records — there is no documented bulk or batch export endpoint. Data exits via CRM CSV export (which delivers a download link by email) or paginated single-record API calls. We implement cursor-based pagination over the candidates endpoint and chunk imports into batches of 100-200 records to avoid timeout. The CSV export path is a fallback for customers without API comfort; it captures candidate profile fields but excludes application-stage history, which we recover separately via API pagination.

  • Pipeline stages map to flat applicant status, not ordered stages

    TalentLyft pipelines have named stages with ordered progression (Applied, Phone Screen, Interview, Offer). BambooHR's applicant tracking uses a flat Applicant list without an ordered stage concept. We preserve stage context as a custom Applicant Status field enumerated with the customer's pipeline stage names, but stage-move timestamps and full progression history cannot map natively. We store stage history as a structured notes entry or JSON attachment on each Applicant record so the detail is not lost, but it is not queryable as a pipeline in BambooHR.

  • Talent Pools require manual reconstruction in BambooHR

    Talent Pools in TalentLyft are curated candidate collections with member counts, source dates, and pool-level tags. BambooHR has no Talent Pool or talent community equivalent. We migrate pool membership as a structured CSV export with candidate names, emails, source dates, and pool associations. At the destination, we recommend rebuilding Talent Pools as BambooHR Applicant Tags or a structured lookup list maintained by the recruiting team. We provide a rebuild checklist as part of the migration handoff document.

  • BambooHR per-employee pricing shifts cost basis from jobs to headcount

    TalentLyft prices per active job tier (not per seat), which keeps costs predictable when job openings fluctuate. BambooHR charges per employee per month, with ATS as an additional per-month add-on. For companies with many active job openings relative to headcount, this can represent a cost increase. We call out the pricing model shift during scoping so the customer understands the BambooHR recurring cost structure before migration, not after. BambooHR's flat-rate option for 25 or fewer employees can offset this for very small teams.

Migration approach

Six steps for a successful TalentLyft to BambooHR data migration

  1. Discovery and plan assessment

    We audit the source TalentLyft account across record counts (candidates, applications, jobs, talent pools), active pipeline count and stage names, custom field definitions via GET /v2/custom_fields, talent pool membership volumes, department and location structure, and active automation rules and email templates. We assess whether the customer's BambooHR plan includes the ATS module. We produce a written migration scope that lists every object to be migrated, the object count per type, and a recommended BambooHR plan configuration for ATS coverage. This document is the basis for the fixed-price quote.

  2. Schema design and custom field mapping

    We design the destination schema in BambooHR. This includes confirming ATS module provisioning, configuring Job Opening fields to match the TalentLyft job structure, creating the custom Applicant Status picklist with the customer's pipeline stage names in original order, and mapping TalentLyft custom fields to BambooHR custom Applicant fields by name and type. For talent pools, we design the CSV export structure and recommend the rebuild approach (Applicant Tags or lookup list). Schema design is validated against a BambooHR sandbox or test tenant before any production data moves.

  3. Data extraction and parent-record resolution

    We extract all records from TalentLyft via paginated REST API calls. Because there is no bulk export endpoint, we implement cursor-based pagination over the candidates endpoint and chunk extraction into batches of 100-200 records per request to avoid timeout. For each Application record, we first stage the parent record chain (Candidate ID → Application ID) before pulling sub-records (Education, Experience) that require both IDs in the API path. This two-pass approach adds one API round per application but is necessary for data integrity. The extraction produces a structured staging dataset organized by object type.

  4. Data transformation and talent pool export

    We transform the staging dataset to match BambooHR's schema. Applications are resolved against their parent Job Opening and Candidate to produce Applicant records. Pipeline stage is mapped to the custom Applicant Status field. Talent Pools are exported as structured CSV files with candidate names, emails, source dates, and pool names. Education and experience sub-records are flattened into custom Applicant fields for the most recent entry, with full history attached as structured notes. Custom field values from TalentLyft are cross-referenced against the field definitions from GET /v2/custom_fields to ensure type consistency.

  5. Production migration in dependency order

    We import data into BambooHR in record-dependency order: Departments and Locations first (to satisfy foreign-key requirements), then Job Openings, then Job Applicants (with stage history as custom fields), then education and experience data. We use BambooHR's REST API with rate-limit handling (10 requests per second default, with exponential backoff on 429 responses) and batch chunking at 50-100 records per request. Each phase emits a row-count reconciliation report before the next phase begins. Talent Pool CSVs are delivered alongside the migration as a separate artifact for manual rebuild.

  6. Validation, cutover, and automation handoff

    We perform record-level spot checks against the source data after each phase. We verify application counts per Job Opening, pipeline stage distribution across Applicants, and talent pool member counts. After validation, we freeze writes in TalentLyft, run a final delta pass for any records modified during the migration window, and enable BambooHR as the system of record. We deliver the automation and email template inventory to the customer's HR admin for manual rebuild. We support a one-week hypercare window to resolve post-migration reconciliation issues. We do not rebuild TalentLyft automations as BambooHR Workflows inside the migration scope.

Platform deep dives

Context on both ends of the pair

TalentLyft logo

TalentLyft

Source

Strengths

  • All-in-one ATS, CRM, career-site builder, and analytics under one subscription for small and mid-sized teams.
  • Per-job-tier pricing model (not per-seat) keeps costs predictable for growing recruiting teams.
  • Highly responsive customer support rated 4.9/5 across verified review platforms.
  • 14-day free trial and under-two-weeks implementation lets teams evaluate and onboard quickly.
  • Talent Pool concept enables long-term candidate relationship management beyond active requisitions.

Weaknesses

  • No bulk API for high-volume candidate migration; data leaves TalentLyft via CSV export or single-record API calls.
  • Reporting lacks advanced analytics, custom report builder, and trend analysis for data-driven hiring teams.
  • Candidate email replies route to recruiter inboxes rather than remaining inside TalentLyft for full conversation tracking.
  • Pipeline customization is limited, making it difficult to model complex or role-specific hiring workflows.
  • Mobile app functionality is reduced compared to the desktop experience.
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 TalentLyft and BambooHR.

B

Overall complexity

Standard migration

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

  • Object compatibility

    A

    All 7 core objects map 1:1 between TalentLyft 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

    TalentLyft: Not publicly documented in available documentation.

  • Data volume sensitivity

    B

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

Estimator

Estimate your TalentLyft 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 TalentLyft to BambooHR data migrations

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

Can't find your answer?

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Most migrations land between four and eight weeks. Straightforward moves under 5,000 candidates with no complex custom fields and no large talent pools complete in four to six weeks. Migrations with 10+ custom fields, active talent pools (1,000+ member records), education and experience sub-record history, or multiple active pipelines move into ten to sixteen weeks because of custom field mapping sessions, talent pool restructuring, and stage-history reconstruction.

Adjacent paths

Related migrations to explore

Ready when you are

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