HRMS migration
Field-level mapping, validation, and rollback between Darwinbox and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
Darwinbox
Source
BambooHR
Destination
Compatibility
8 of 10
objects map 1:1 between Darwinbox and BambooHR.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Darwinbox to BambooHR is a consolidation and simplification migration. Darwinbox is an AI-native, enterprise-grade HCM suite built for organisations operating across Asia, the Middle East, and multiple countries, with native payroll, highly configurable custom fields, and a no-code workflow builder. BambooHR is a cloud-based HRIS optimised for small and mid-market teams that prioritises simplicity of setup, intuitive self-service, and fast time-to-value. The platforms share a core employee-record model but diverge sharply on payroll depth, multi-country statutory compliance, attendance complexity, and workflow configurability. We migrate the full employee dataset including custom fields (introspected during discovery), org hierarchies, attendance punch logs with shift alignment, leave balances, and compensation history. We do not migrate workflows, automations, recruitment workflows, or documents, and we flag where Darwinbox's global payroll and multi-country coverage has no BambooHR equivalent so the customer's admin can plan accordingly.
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 Darwinbox 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.
Darwinbox
Employee
BambooHR
Employee
1:1Darwinbox Employee records map directly to BambooHR Employee. The Darwinbox employee ID becomes the BambooHR employeeId used as the dedupe key. Core fields (name, date of birth, hire date, employment status, department, job title, location) export cleanly via API. We preserve the Darwinbox employee ID in a BambooHR custom field darwinbox_id__c for audit traceability. Work phone and mobile migrate as BambooHR work phone and mobile number fields.
Darwinbox
Organisation / Org Structure
BambooHR
Department + Location
1:manyDarwinbox stores hierarchical org units, cost centres, and location data as separate objects with parent-child relationships. BambooHR models organisation flatly using Department and Location objects. We flatten the Darwinbox org tree by mapping the deepest-level org unit to BambooHR Department and the location branch to BambooHR Location. Cost-centre assignments migrate as a BambooHR custom field cost_center__c. If the organisation uses multiple hierarchy levels (BU, Division, Team), we map the top two levels to Department naming conventions and document the hierarchy in a delivered org chart spreadsheet.
Darwinbox
Attendance Records
BambooHR
Time Tracking (Time Off + Attendance)
lossyDarwinbox attendance records use employee ID as the primary key with punch arrays containing timestamps, machine IDs, and in/out status codes. BambooHR's Time Tracking module covers time off requests and basic clock-in/out but does not expose raw punch-log data as a first-class API object. We extract Darwinbox attendance records during the migration window and map approved attendance events to BambooHR Time Off entries (where the absence type matches a BambooHR leave policy) and document raw punch history in a CSV delivered alongside the migration for admin reference. Attendance records requiring shift-policy alignment (weekly-off names, policy names) are resolved in a pre-migration policy mapping step.
Darwinbox
Leave Balances
BambooHR
Time Off
1:1Darwinbox stores leave types, accrual rules, and current balances per employee with effective-dating. BambooHR Time Off supports multiple leave policies per employee type. We map Darwinbox leave types to BambooHR leave types (Annual Leave to Vacation, Sick Leave to Sick, etc.) using a leave type mapping table agreed during scoping. Current balances migrate as accrued amounts in BambooHR. Darwinbox's multiple leave policies per org unit require us to identify the applicable policy per employee and map it to the corresponding BambooHR policy. Accrual rules are not migrated as configuration; we document them for the customer's admin to configure in BambooHR.
Darwinbox
Payroll / Compensation History
BambooHR
Pay Compensation (custom fields)
1:1Darwinbox payroll and compensation history includes salary components, deductions, tax codes, and multiple effective-dated rows per employee (salary changes, promotions). BambooHR does not have a native payroll module in its Core tier and lacks multi-country payroll. We extract effective-dated compensation rows from Darwinbox and map the most recent compensation record to BambooHR Pay Compensation custom fields (current salary, pay frequency, currency). Historical compensation rows are delivered as a CSV with effective dates for admin reference. If BambooHR Payroll is in scope, we coordinate its implementation timeline separately because BambooHR Payroll has its own setup and configuration process that is not part of the data migration.
Darwinbox
Custom Fields
BambooHR
Employee Custom Fields
1:1Darwinbox custom fields are tenant-specific and attached to any object. They are not documented in the public API reference and must be introspected from the tenant's live instance during discovery. We request read access to custom field configurations during scoping, enumerate the complete field registry (names, types, attached objects), and map each custom field to an equivalent BambooHR custom employee field. Text, number, boolean, date, and predefined-list types map directly. Multi-select and complex structured fields require admin decision on whether to flatten, store as text, or split into multiple BambooHR fields.
Darwinbox
Users / Roles
BambooHR
Users
1:1Darwinbox users carry roles (admin, manager, employee) tied to functional permissions. We extract user-role assignments and map them to BambooHR user accounts with the appropriate permission level. BambooHR uses a simpler role model (Full Access, Manager, Employee) versus Darwinbox's more granular permission matrix. We map Darwinbox admin to BambooHR Full Access, Darwinbox manager to Manager, and Darwinbox employee to Employee, then document any permission gaps for the customer's admin to configure post-migration. Inactive Darwinbox users map to inactive BambooHR users.
Darwinbox
Documents / HR Files
BambooHR
Documents (BambooHR Files)
1:1Darwinbox employee documents (contracts, IDs, certifications) are stored in its document management module and are not exposed via the public REST API. BambooHR has a document storage module for employee files accessible via API. We cannot migrate document blobs directly. We flag document migration as an out-of-scope step requiring manual handling. Customers must either manually download documents from Darwinbox and re-upload to BambooHR or coordinate a vendor-assisted export from Darwinbox. We document the file naming convention and employee folder structure for the manual migration to follow.
Darwinbox
Workflows / Approvals
BambooHR
Workflow Rules
1:1Darwinbox workflow configurations (approval chains, routing rules, conditional logic) are stored as platform logic rather than structured data records and are not exported as objects. BambooHR supports basic workflow rules for approvals but does not have a visual workflow builder equivalent to Darwinbox's no-code workflow engine. We do not migrate workflows as configuration. We deliver a written inventory of every active Darwinbox workflow with its trigger, conditions, actions, and recommended BambooHR equivalent. The customer's admin rebuilds workflows post-migration using BambooHR's approval rules and any third-party automation tools in their stack.
Darwinbox
Performance Reviews
BambooHR
Performance Reviews
1:1Darwinbox performance modules store review cycles, ratings, goals, and manager feedback tied to employees. BambooHR Performance Review supports review cycles, 360 feedback, and goal tracking. We extract review history including ratings and goal content and map them to BambooHR Performance Review records. Multiple rating systems supported in Darwinbox are mapped to BambooHR's rating scale or stored as a custom field if the scales do not align directly. Active review cycles in progress require admin decision on whether to migrate mid-cycle or restart in BambooHR.
| Darwinbox | BambooHR | Compatibility | |
|---|---|---|---|
| Employee | Employee1:1 | Fully supported | |
| Organisation / Org Structure | Department + Location1:many | Fully supported | |
| Attendance Records | Time Tracking (Time Off + Attendance)lossy | Mapping required | |
| Leave Balances | Time Off1:1 | Mapping required | |
| Payroll / Compensation History | Pay Compensation (custom fields)1:1 | Mapping required | |
| Custom Fields | Employee Custom Fields1:1 | Mapping required | |
| Users / Roles | Users1:1 | Mapping required | |
| Documents / HR Files | Documents (BambooHR Files)1:1 | Not supported | |
| Workflows / Approvals | Workflow Rules1:1 | Not supported | |
| Performance Reviews | Performance Reviews1:1 | 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.
Darwinbox gotchas
API access is privileged and request-only
Custom fields are tenant-specific and not in public schema
Attendance records require shift-policy alignment
Effective-dated compensation rows need careful sequencing
Document blobs are not accessible via public API
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 API access request
We audit the Darwinbox tenant across installed modules (Core HR, Attendance, Leave, Payroll, Performance, Recruitment), active custom field registry (requested via API access request to [email protected]), org unit structure, leave policy count, attendance record volume, and effective-dated compensation rows. We also establish the BambooHR destination account, confirm the target tier (Core, Pro, or Elite), and identify any BambooHR Payroll scope. The API access request is submitted in parallel with the Darwinbox audit. Discovery output is a written migration scope, data volume summary, leave policy mapping table, and org flattening plan.
Schema design and leave policy resolution
We design the BambooHR destination schema. This includes provisioning custom employee fields mapped from Darwinbox custom fields, creating leave policies in BambooHR that match the Darwinbox leave type matrix, configuring time off approval workflows (if applicable), and mapping the Darwinbox org tree to BambooHR Department and Location. Leave policy multiplicity is resolved here: we agree on a consolidation or best-fit mapping with the customer's HR admin and document any policy overrides that cannot be represented in BambooHR. Custom field types are mapped to BambooHR field types (text, number, date, dropdown, checkbox) and validated against BambooHR's API field type support.
Sandbox migration and reconciliation
We run a full migration into the customer's BambooHR sandbox environment using production-like data volume. The customer's HR lead reconciles record counts against Darwinbox source data, spot-checks 25-50 employee records for field accuracy, validates that org hierarchy is preserved in the flattened Department structure, and confirms that leave balances match Darwinbox current values. The customer signs off the sandbox migration before production migration begins. Any mapping corrections or leave policy adjustments happen in this phase.
Attendance shift-policy alignment
Darwinbox attendance punch data includes shift-date references, weekly-off names, and policy names that vary by tenant configuration. Before any attendance data is loaded, we extract the Darwinbox shift policies, document them, and run a policy mapping step to determine which punch records are compliant with the destination's shift model. Approved attendance events map to BambooHR Time Off entries where the type matches. Backdated attendance requiring explicit Darwinbox API calls is handled as a separate extraction step. Raw punch logs are delivered as a CSV for admin reference if BambooHR's Time Tracking module does not fully represent the data.
Production migration in dependency order
We run production migration in record-dependency order: Departments and Locations first (from Darwinbox org structure), then Employees (with employee ID preserved as darwinbox_id__c for audit), then custom field data, then Time Off balances (mapped from Darwinbox leave entitlements with policy resolution applied), then compensation history (most recent row as current compensation in BambooHR Pay Compensation, full history as CSV), then attendance events, then user accounts (mapped from Darwinbox user-role assignments). Each phase emits a row-count reconciliation report before the next phase begins. Effective-dated compensation rows are sequenced chronologically before insertion.
Cutover, validation, and workflow rebuild handoff
We freeze Darwinbox writes during cutover, run a final delta migration of any records modified during the migration window, then enable BambooHR as the system of record. We deliver the Darwinbox workflow inventory document to the customer's admin team with recommended BambooHR equivalents for each workflow requiring rebuild. We do not rebuild Darwinbox workflows as BambooHR workflow rules inside the migration scope. We support a one-week hypercare window where we resolve any reconciliation issues. Document migration (manual export from Darwinbox, manual upload to BambooHR) and payroll implementation are handed off as separate customer tasks with documentation.
Platform deep dives
Darwinbox
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 Darwinbox 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
Darwinbox: Enforced via Istio service mesh policies; specific quotas not publicly published.
Data volume sensitivity
Darwinbox exposes a bulk API — large-volume migrations stream efficiently.
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
Answers to the questions buyers ask most during Darwinbox to BambooHR migration scoping. Not seeing yours? Book a call.
Walk through your Darwinbox to BambooHR migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Darwinbox
Other ways to arrive at BambooHR
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.