HRMS migration

Migrate from ZingHR to BambooHR

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

ZingHR logo

ZingHR

Source

BambooHR

Destination

BambooHR logo

Compatibility

64%

7 of 11

objects map 1:1 between ZingHR and BambooHR.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

ZingHR logo

ZingHR

What's pushing teams away

  • Frequent performance issues including slow page loads, login timeouts, and sluggish navigation frustrate daily users and reduce productivity across HR and employee self-service.
  • Integration challenges with third-party tools create data silos, particularly when ZingHR must sync with existing ERP or finance systems that enterprises already rely on.
  • Customer support response times are reported as slow, with users noting difficulty getting timely assistance when configuration issues arise.
  • Setup complexity requires significant configuration effort to align the platform with company-specific structures, policies, and approval hierarchies.

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 ZingHR objects map to BambooHR

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

maps to

BambooHR

Employee

1:1
Fully supported

ZingHR 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

maps to

BambooHR

Department

1:1
Fully supported

ZingHR 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

maps to

BambooHR

Location

1:1
Fully supported

ZingHR 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

maps to

BambooHR

Time Tracking Entry (custom field summary)

lossy
Fully supported

ZingHR 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

maps to

BambooHR

Time Off (PTO)

1:many
Fully supported

ZingHR 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

maps to

BambooHR

Employee Custom Fields (payslip summary)

lossy
Mapping required

ZingHR 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

maps to

BambooHR

Employee Custom Fields + Documents

lossy
Fully supported

ZingHR 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

maps to

BambooHR

Employee (supervisorId)

1:1
Fully supported

ZingHR 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)

maps to

BambooHR

Custom Field

1:1
Fully supported

ZingHR'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)

maps to

BambooHR

Employee Document

1:1
Fully supported

ZingHR 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

maps to

BambooHR

BambooHR ATS (if licensed) or Custom Fields

1:1
Mapping required

ZingHR 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.

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.

ZingHR logo

ZingHR gotchas

Medium

Maker-Checker workflow creates pending approval states

Medium

Reports module limits current data export to 3 months

Low

Compensatory off balances may not auto-refresh

Medium

API authentication requires valid token and subscription name

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

  • Maker-Checker pending states block manager hierarchy migration

    ZingHR uses a Maker-Checker dual-approval workflow for bulk operations, most critically for manager changes. Any manager change in ZingHR that is pending Maker-Checker approval will not auto-commit to BambooHR during migration. We identify all pending Maker-Checker records during scoping, extract the current approved manager hierarchy, and migrate the approved state. Pending records are documented in the handoff report with instructions to complete the approval in ZingHR before cutover or to create a corresponding approval workflow task in BambooHR post-migration.

  • Reports module silently truncates current data at 3 months

    ZingHR's standard Reports module returns only the last 3 months of data in its 'Current Data' view, which is a common trap for teams that run a standard export without awareness of the truncation. Historic data beyond 3 months is available in a separate export limited to 60 months. We always use the Historic data export for leave balances, attendance summaries, and payroll history to ensure records are not silently truncated at the quarter boundary. This requires explicit configuration during extraction scoping.

  • Compensatory off balances may not reflect current state in ZingHR

    Some users report that compensatory off (comp-off) balances in ZingHR do not auto-refresh correctly after being granted or used, which means the balance visible in the system may not reflect the true available balance. We extract the comp-off balance as of migration date as a balance-forward item and flag it for explicit verification in ZingHR by the customer's HR admin before the migration cut-off date. The verified balance is then entered as the opening comp-off balance in BambooHR time-off settings post-migration.

  • BambooHR custom fields do not sync with integrations

    BambooHR's documented limitation states that custom fields do not sync with third-party integrations. This means any ZingHR custom attribute mapped to a BambooHR custom field will not flow back through integrations such as BambooHR's built-in sync connectors, Zapier, or Workato. We communicate this limitation during scoping and advise the customer to evaluate whether any active integration relies on the migrated custom field data. If so, the integration mapping must be re-evaluated and potentially restructured post-migration.

  • BambooHR has undocumented API rate limits and a 400-field cap

    BambooHR's REST API has undocumented rate limits and a 400-field cap on the number of fields that can be included in a single API request. We implement pagination, field selection, and exponential backoff in our extraction pipeline to stay within observed limits. For large employee populations with extensive custom field sets, we chunk requests to avoid 400-field rejections. BambooHR's API also requires OAuth migration planning; legacy API key-based integrations are being phased out in favor of OAuth 2.0 authentication.

Migration approach

Six steps for a successful ZingHR to BambooHR data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

ZingHR logo

ZingHR

Source

Strengths

  • Covers the full Hire-to-ReHire employee lifecycle from onboarding through e-Separation in a single platform.
  • Mobile-first ESS portal gives employees direct access to payslips, leave requests, and personal data updates.
  • AI features including Zingbot conversational assistant and Zing Lens document processing are embedded natively.
  • Report module separates current data (3 months) from historic data (5 years) for compliance-ready payroll and attendance archives.

Weaknesses

  • Performance issues including slow loading and login timeouts are cited across multiple G2 and Capterra reviews.
  • Integration with third-party ERPs and finance tools is reported as challenging, limiting data flow for enterprises with complex IT stacks.
  • Customer support response times are flagged as slow, with configuration issues often requiring extended back-and-forth.
  • Setup requires significant custom configuration to align ZingHR with company-specific policies and approval workflows.
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 ZingHR 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

    ZingHR: Not publicly documented in available API documentation.

  • Data volume sensitivity

    B

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

Estimator

Estimate your ZingHR 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 ZingHR to BambooHR data migrations

Answers to the questions buyers ask most during ZingHR 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 300 employees with no payroll history and straightforward leave mapping. Migrations with 300-1,000+ employees, full 60-month payroll archives, compensatory off balance reconciliation, active Maker-Checker queues, and extensive custom attributes move to eight to twelve weeks because of historic export sequencing, balance verification, and BambooHR custom field schema creation.

Adjacent paths

Related migrations to explore

Ready when you are

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