HRMS migration
Field-level mapping, validation, and rollback between ZingHR and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
ZingHR
Source
BambooHR
Destination
Compatibility
7 of 11
objects map 1:1 between ZingHR and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from ZingHR to BambooHR is a data-model simplification for teams that have outgrown ZingHR's enterprise configuration overhead. ZingHR covers Hire-to-ReHire with a Maker-Checker dual-approval workflow, a Reports module that separates current data (3 months) from historic records (60 months), and an Attribute Master API for custom attributes. BambooHR is an HRIS-first platform designed for small and medium businesses, with Core ($10/employee/month), Pro ($17), and Elite ($25) tiers. We extract full historical records using ZingHR's Historic data export, resolve pending Maker-Checker states during scoping, and map leave types and custom fields to BambooHR's typed schema. Payroll history migrates as a balance-forward carry-over with payslip records attached to the employee profile. Automations, workflows, and custom report definitions do not migrate; we deliver a written inventory for the customer's admin to rebuild in BambooHR.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a ZingHR 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.
ZingHR
Employee
BambooHR
Employee
1:1ZingHR employee records exported via the Reports module map to BambooHR employee profiles. We extract personal details (name, date of birth, gender, marital status), contact information (email, phone, address), employment history (hire date, termination date, employment status), job title, department, location, and reporting manager. ZingHR's employment status and employee type map to BambooHR's status field and pay type. The migration dedupes by employee email as the primary key. Terminated employees migrate with their termination date and status set toInactive in BambooHR.
ZingHR
Department
BambooHR
Department
1:1ZingHR department hierarchies and cost center structures export as a standard organization report. We map each ZingHR department to a BambooHR department using the department name as the dedupe key. BambooHR departments are flat (no sub-department nesting by default), so nested ZingHR hierarchies are flattened to the lowest level with the parent path preserved as a custom field department_path__c for reporting.
ZingHR
Location
BambooHR
Location
1:1ZingHR location data includes name, address, and geo-coordinates. BambooHR locations store name, address, and state/province. We extract location names and address components from ZingHR and map them to BambooHR location records. Geo-coordinates and location-specific configurations (where present) are stored as custom fields location_latitude__c and location_longitude__c since BambooHR does not natively store geographic coordinates.
ZingHR
Attendance Record
BambooHR
Time Tracking Entry (custom field summary)
lossyZingHR stores raw punch-in/punch-out timestamps per employee per day. We aggregate daily attendance summaries (total hours worked, overtime, first punch-in, last punch-out) to avoid inflating record counts in BambooHR, which does not natively store raw attendance timestamps. Daily attendance summaries are stored in a custom table or as time-off entries for days marked as absent. Any unpaid leave or absence detected from attendance gaps is flagged for leave balance verification.
ZingHR
Leave Balance
BambooHR
Time Off (PTO)
1:manyZingHR leave types (earned leave, sick leave, casual leave, compensatory off, maternity leave, paternity leave) map to BambooHR time-off policies. Each ZingHR leave type becomes a separate BambooHR time-off type (Pro and Elite allow multiple types; Core uses a single PTO policy). Current entitlement, accrued, used, and pending balances migrate as the opening balance for each time-off type on the employee's start date in BambooHR. Compensatory off balances require explicit verification in ZingHR before migration cut-off due to reported refresh issues in the source system.
ZingHR
Payroll History
BambooHR
Employee Custom Fields (payslip summary)
lossyZingHR payslip data (earnings, deductions, net pay per pay period) exports per pay period but does not have a direct BambooHR equivalent since BambooHR does not include native payroll. We migrate payroll history as a custom field block on each employee record: last_salary__c (most recent gross), last_pay_date__c, last_pay_period__c, and a payslip_count__c indicating total pay periods on record. Full payslip PDF files (where stored in ZingHR ESS) are migrated as BambooHR employee documents attached to the employee file.
ZingHR
Performance Review
BambooHR
Employee Custom Fields + Documents
lossyZingHR PMS module goals, goal progress, ratings, and reviewer comments are extracted as structured records. Since BambooHR Performance Management is an Elite add-on, we migrate performance data as custom fields on the employee record: last_review_date__c, last_rating__c, last_reviewer__c, and goal_summary__c (text). Where structured goal data exists in ZingHR, we export it as a PDF report and attach it to the employee file in BambooHR under the Documents tab.
ZingHR
Manager Hierarchy
BambooHR
Employee (supervisorId)
1:1ZingHR manager-employee associations export as reporting lines. We map each employee's manager in ZingHR to the supervisorId field on the corresponding BambooHR employee. The Manager Hierarchy is the object most affected by Maker-Checker pending states: if a manager change is pending approval in ZingHR, we migrate the current approved hierarchy and flag the pending change as a BambooHR approval workflow task for the customer's admin to process post-migration.
ZingHR
Custom Field (Attribute Master)
BambooHR
Custom Field
1:1ZingHR's Attribute Master API exposes company-specific custom attributes and units defined by the customer. We enumerate all custom fields during scoping, map each to a BambooHR custom field with the matching type (text, number, date, dropdown, checkbox, etc.), and create picklist values where ZingHR uses enumerated options. Custom field names are preserved as the field label with API-safe names generated (lowercase, underscores). BambooHR's documented limitation that custom fields do not sync with integrations is noted and communicated to the customer during scoping.
ZingHR
Document (Employee File)
BambooHR
Employee Document
1:1ZingHR employee documents (offer letters, ID proofs, experience letters, certificates) stored in the ESS are mapped to BambooHR employee documents by category. We extract documents by type, upload them to the corresponding BambooHR employee file under the appropriate document category (Offer Letter, ID Document, Employment Certificate, etc.). Document upload preserves the original filename and attaches it to the correct employee record in BambooHR.
ZingHR
Recruitment Data
BambooHR
BambooHR ATS (if licensed) or Custom Fields
1:1ZingHR Talent Acquisition records including active job postings, candidate profiles, and onboarding checklist progress are extracted as structured data. If the customer licenses BambooHR ATS post-migration, candidate data migrates to the BambooHR applicant model (Job and Applicant objects). If BambooHR ATS is not licensed, we export candidate and job data as a structured CSV report for the customer's admin to use in their chosen ATS, and we flag that active onboarding task lists require manual recreation in BambooHR's onboarding module.
| ZingHR | BambooHR | Compatibility | |
|---|---|---|---|
| Employee | Employee1:1 | Fully supported | |
| Department | Department1:1 | Fully supported | |
| Location | Location1:1 | Fully supported | |
| Attendance Record | Time Tracking Entry (custom field summary)lossy | Fully supported | |
| Leave Balance | Time Off (PTO)1:many | Fully supported | |
| Payroll History | Employee Custom Fields (payslip summary)lossy | Mapping required | |
| Performance Review | Employee Custom Fields + Documentslossy | Fully supported | |
| Manager Hierarchy | Employee (supervisorId)1:1 | Fully supported | |
| Custom Field (Attribute Master) | Custom Field1:1 | Fully supported | |
| Document (Employee File) | Employee Document1:1 | Fully supported | |
| Recruitment Data | BambooHR ATS (if licensed) or Custom Fields1:1 | Mapping required |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
ZingHR gotchas
Maker-Checker workflow creates pending approval states
Reports module limits current data export to 3 months
Compensatory off balances may not auto-refresh
API authentication requires valid token and subscription name
BambooHR gotchas
Undocumented API rate limits can trigger 503 errors
Per-employee pricing model requires active record count verification
API credentials must be sent on every request to avoid extra round trips
Custom field schema varies per account and requires manual inventory
Document and attachment exports are not covered by standard report exports
Pair-specific challenges
Migration approach
Discovery and scoping
We audit the ZingHR account across module usage (Core, Professional, or Enterprise), custom fields in the Attribute Master API, active Maker-Checker approval queues, leave type configuration, attendance export method, payroll history depth, and performance review data. We pair this with a BambooHR edition decision: Core ($10/employee/month) covers employee records, onboarding, benefits tracking, and time-off management for most migrations; Pro ($17) is required for multiple leave policies, time tracking, and performance management; Elite ($25) if the customer requires compensation management and custom dashboards. The discovery output is a written migration scope with object inventory and a BambooHR edition recommendation.
Historic data extraction from ZingHR
We extract employee records, leave balances, attendance summaries, payroll history, performance data, manager hierarchies, and documents using ZingHR's Reports module in Historic mode (not the default Current Data view, which is limited to 3 months). We extract custom attributes via the Attribute Master API, enumerating every custom field, its type, and its picklist values. Any pending Maker-Checker records are identified and documented in the scoping report. Compensatory off balances are flagged for manual verification by the customer's HR admin before cut-off.
BambooHR schema design and custom field creation
We design the destination schema in BambooHR. This includes provisioning custom fields to match ZingHR's Attribute Master attributes, creating time-off policies corresponding to each ZingHR leave type (Pro and Elite required for multiple types), creating department and location records, and setting up employee status categories. BambooHR's field type system (bool, checkbox, country, currency, date, ein, email, employee, exempt, gender, integer, list, marital_status, paid_per, pay_type, phone) guides the type mapping for each custom field. We deploy schema changes to the customer's BambooHR account before data migration begins.
Balance verification and leave type mapping
We map each ZingHR leave type to a BambooHR time-off type, reconciling entitlement, accrued, used, and pending balances per employee. Compensatory off balance verification is performed in coordination with the customer's HR admin using the verified balance as the BambooHR opening balance. For payroll history, we extract the most recent payslip data and migrate it as custom fields on each employee record (last_salary__c, last_pay_date__c) with full payslip PDFs attached to the employee file. We document any leave types or payroll components that have no BambooHR equivalent and present options (custom field, attached document, or exclusion from scope) to the customer.
Sandbox migration and reconciliation
We run a full migration into the customer's live BambooHR account using a small employee subset (or a test import if the account is new) to validate field mapping, leave balance calculations, document attachment, and manager hierarchy resolution. The customer reconciles 25-50 randomly selected records against the ZingHR source and signs off the mapping before the full production migration begins. Any field type mismatches, picklist value gaps, or lookup resolution failures are corrected in this phase.
Production migration and cutover
We run the production migration in dependency order: locations and departments first (dependency-free), then employees with all standard and custom fields, then leave balances and payroll summaries, then manager hierarchy (resolving supervisorId for each employee), then documents attached to employee files. We freeze ZingHR write access during the cutover window, run a final delta migration of any records modified during the window, and enable BambooHR as the system of record. We deliver a written automation inventory (ZingHR workflows and custom report definitions) for the customer's admin to rebuild in BambooHR. We do not migrate ZingHR workflows or automations as code.
Platform deep dives
ZingHR
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across ZingHR and BambooHR.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
ZingHR: Not publicly documented in available API documentation.
Data volume sensitivity
ZingHR doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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