HRMS migration
Field-level mapping, validation, and rollback between Alongside and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
Alongside
Source
BambooHR
Destination
Compatibility
8 of 11
objects map 1:1 between Alongside and BambooHR.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Alongside to BambooHR is a data-layer migration scoped to core HR records. Alongside lacks publicly documented API, data model, or pricing evidence in our research corpus, so the first phase of any migration is direct API inspection or customer-provided schema export to establish the source field inventory. Once the source schema is mapped, we migrate Employees (1:1 to BambooHR Employee), Companies (1:1 to BambooHR Company), and Manager relationships (lookups resolved by email match). Time-Off balances migrate to BambooHR Time-Off Requests with the relevant policy configuration done pre-import. We do not migrate automations, approval workflows, or custom Alongside-specific features as these are not represented in BambooHR's standard object model. BambooHR's per-employee pricing (Core $10, Pro $17, Elite $25 per employee per month with a $250 monthly floor for 25 or fewer employees) and its ATS, onboarding, and performance management modules are configured by the customer's admin post-migration.
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 Alongside 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.
Alongside
Employee
BambooHR
Employee
1:1Alongside Employee records map 1:1 to BambooHR Employee. The first step is API inspection or customer-provided schema to identify Alongside's field names for first name, last name, work email, hire date, department, location, and job title. We split combined name fields into BambooHR's separate firstName and lastName fields. hireDate maps to BambooHR's date fields; employmentHistoryStatus maps to BambooHR's employmentHistoryStatus picklist (active, inactive, terminated). Work email is the dedupe key during import.
Alongside
Company
BambooHR
Company
1:1Alongside Company records (if present as a distinct object) map to BambooHR Company. We resolve whether Alongside uses a flat employee record or a separate company-level record by inspecting the API response shape during discovery. Company name and address fields map to BambooHR's Company object fields. If Alongside embeds company data inside the employee record, we extract and normalize it into a standalone BambooHR Company import.
Alongside
Manager relationship
BambooHR
Employee (managerId lookup)
lossyAlongside manager relationships (stored as a managerId reference or a manager name field on the Employee record) map to BambooHR's supervisorEmployeeNumber or managerId field on Employee. We resolve by matching the manager's email or employee ID against the Employee import batch. If the manager record has not yet been imported, we use a two-pass import: first pass imports all employees as inactive placeholders, second pass updates managerId references after all Employee IDs are known.
Alongside
Employment status
BambooHR
Employee (employmentHistoryStatus)
1:1Alongside employment status values (active, on-leave, terminated) map to BambooHR's employmentHistoryStatus picklist. Terminated employees retain their termination date and final employment status in BambooHR rather than being hard-deleted, preserving audit history for compliance purposes.
Alongside
Time-Off balance
BambooHR
Time-Off Request
1:1Alongside time-off balances (accrued days by type: vacation, sick, personal) migrate to BambooHR Time-Off Requests as historical approved entries. We determine the accrual balance from Alongside's balance field and create corresponding BambooHR time-off records with a status of approved and the balance date as the request date. BambooHR time-off policies (PTO, sick, custom) must be configured in the destination account before import, as the policy name on the BambooHR import row must match an existing policy.
Alongside
Custom fields (Employee)
BambooHR
Custom Employee fields
lossyAny Alongside custom fields on the Employee record (such as cost center, work location, employee type, security clearance, or project assignment) require pre-creation as custom fields in BambooHR before import. We create the BambooHR custom field with the appropriate type (dropdown, text, date, or checkbox) matching the Alongside field's data type, then map the values during the import transform. This is a configuration step that occurs before the first data load.
Alongside
Department
BambooHR
Employee (department field)
1:1Alongside department values migrate to BambooHR's department field on Employee. If Alongside stores department as a free-text field with inconsistent values, we normalize during the transform pass using a value-map defined by the customer during scoping, then import the normalized values into BambooHR's department dropdown.
Alongside
Location
BambooHR
Employee (location field)
1:1Alongside location or office field maps to BambooHR's location field on Employee. BambooHR's location field is a dropdown; if Alongside uses free-text locations, we apply the same normalization pass as department before import.
Alongside
Job title
BambooHR
Employee (jobTitle field)
1:1Alongside job title maps directly to BambooHR's jobTitle field on Employee. Job title is a free-text field in BambooHR, so no normalization is required unless the customer specifies a preferred title convention.
Alongside
Employee file attachments
BambooHR
ContentDocument (via BambooHR file attachment)
lossyEmployee documents (offer letters, contracts, performance reviews) stored as file attachments in Alongside migrate to BambooHR as Employee FileAttachments. We extract the binary file and the employee record it belongs to, then upload via BambooHR's file attachment endpoint tied to the corresponding Employee record. The original filename and MIME type are preserved. File attachments without a resolvable employee record are flagged in a reconciliation report for manual resolution.
Alongside
Onboarding task
BambooHR
BambooHR onboarding (post-migration admin task)
1:1Alongside onboarding task checklists and new hire status records do not have a direct BambooHR analog that accepts imported historical data. We export the onboarding task status and completion dates as a written inventory document. BambooHR's native onboarding checklists (Pro and above) are configured by the customer's admin post-migration using this inventory as the reference checklist. We do not programmatically create onboarding tasks inside BambooHR's workflow engine.
| Alongside | BambooHR | Compatibility | |
|---|---|---|---|
| Employee | Employee1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Manager relationship | Employee (managerId lookup)lossy | Fully supported | |
| Employment status | Employee (employmentHistoryStatus)1:1 | Fully supported | |
| Time-Off balance | Time-Off Request1:1 | Fully supported | |
| Custom fields (Employee) | Custom Employee fieldslossy | Fully supported | |
| Department | Employee (department field)1:1 | Fully supported | |
| Location | Employee (location field)1:1 | Fully supported | |
| Job title | Employee (jobTitle field)1:1 | Fully supported | |
| Employee file attachments | ContentDocument (via BambooHR file attachment)lossy | Fully supported | |
| Onboarding task | BambooHR onboarding (post-migration admin task)1:1 | Fully supported |
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.
Alongside gotchas
Domain redirects to CareerBeacon — confirm which platform is the live system
Per-feature pricing creates accumulation risk
Pipeline automation rules don't export with stage data
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
Schema discovery and scoping
We attempt direct API inspection against Alongside's endpoints using standard REST patterns. We request the customer provide a live Alongside account login for schema review, any database export or CSV/JSON dump of employee records, and a list of any known custom fields. If Alongside exposes no usable API, we use the customer-provided export to establish the field inventory. The output is a written Alongside Field Inventory document listing every source field, its data type, and its recommended BambooHR target field or custom field requirement.
BambooHR environment audit and policy pre-configuration
We audit the destination BambooHR account for existing field inventory, custom field names, time-off policy list, and department/location dropdown values. Any Alongside field that has no BambooHR equivalent is created as a custom Employee field before import. Time-off policies (PTO, sick, and any Alongside-specific accrual types) are configured in BambooHR during this step so that import rows reference valid policy names. Department and location value maps are defined in collaboration with the customer's admin.
Data extraction and cleansing from Alongside
We extract the full employee dataset from Alongside using the method established during discovery: API call, database export, or CSV dump. The extract undergoes a three-pass cleanse: dedupe (removing duplicate employee IDs), standardize (normalizing inconsistent text values in department, location, and employment status fields using the value map from step two), and verify (sampling records against the source system to confirm field-level accuracy before transform begins). Any records with missing required fields (first name, last name, work email) are flagged for the customer's HR admin to resolve.
Manager relationship resolution and two-pass import design
We analyze the Alongside manager relationship structure (whether stored as an employee ID reference, an email, or a name string). We design a two-pass import if the manager record may not yet have a BambooHR ID at the time of the employee import. Pass one creates all employee records (with managerId left null). Pass two resolves each manager's Alongside employee ID to the newly assigned BambooHR Employee ID and updates the records in batch.
Sandbox migration and reconciliation
We run a full test migration into a BambooHR sandbox using production-like data volume. The customer's HR admin reviews 25-50 randomly sampled employee records against the Alongside source system, checks the department and location dropdown values, confirms manager relationships are correct, and validates time-off balances. Any field mapping corrections are documented and applied before the production migration begins. Sign-off on the sandbox migration is required before production cutover.
Production migration and cutover
We run the production migration in dependency order: BambooHR custom fields and policies (already configured), Employees (with managerId resolved via the two-pass method), Time-Off balances (historical approved entries), and Employee file attachments (extracted from Alongside and uploaded to the corresponding BambooHR Employee record). Each phase emits a row-count reconciliation report. We freeze Alongside as the system of record during cutover and run a delta pass to capture any records modified during the migration window. We deliver a written onboarding task inventory for the customer's admin to rebuild in BambooHR's native onboarding module.
Validation and handoff
We validate the production migration against the sandbox baseline: record counts per object, field-populated rate for required fields, manager relationship resolution rate, and time-off balance accuracy. We deliver the Migration Validation Report and the Onboarding Task Inventory to the customer's HR admin. We support a three-day post-cutover hypercare window to resolve any data discrepancies. BambooHR workflow configuration, reporting dashboards, and ATS job opening setup are outside migration scope and are handled by the customer's admin or a BambooHR implementation partner.
Platform deep dives
Alongside
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Moderate HRMS migration. 1 of 7 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Alongside and BambooHR.
Object compatibility
1 of 7 objects need a manual workaround.
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
Alongside: Not publicly documented — typical SaaS limits assumed and confirmed during scoping.
Data volume sensitivity
Alongside 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
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FAQ
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