HRMS migration

Migrate from Alongside to BambooHR

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

Alongside logo

Alongside

Source

BambooHR

Destination

BambooHR logo

Compatibility

73%

8 of 11

objects map 1:1 between Alongside and BambooHR.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Alongside logo

Alongside

What's pushing teams away

  • Domain consolidation — wearealongside.com / alongside.com now redirects to careerbeacon.com, signaling Alongside has been folded into the CareerBeacon job board operation. Customers seeking long-term roadmap clarity may move to standalone ATS vendors.
  • Per-feature pricing ($25/feature/month per Capterra) can stack quickly compared to flat per-user plans on Greenhouse, Workable, or Lever.
  • Some reviewers describe the value as feeling like 'paying to simply have a place for job postings to live' once setup is complete.
  • Mobile UI for field interviewers was flagged as needing improvement in Capterra reviews.
  • Small reviewer pool (11 verified reviews on Capterra) makes it hard to validate the product against enterprise-grade ATS alternatives.

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 Alongside objects map to BambooHR

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

maps to

BambooHR

Employee

1:1
Fully supported

Alongside 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

maps to

BambooHR

Company

1:1
Fully supported

Alongside 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

maps to

BambooHR

Employee (managerId lookup)

lossy
Fully supported

Alongside 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

maps to

BambooHR

Employee (employmentHistoryStatus)

1:1
Fully supported

Alongside 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

maps to

BambooHR

Time-Off Request

1:1
Fully supported

Alongside 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)

maps to

BambooHR

Custom Employee fields

lossy
Fully supported

Any 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

maps to

BambooHR

Employee (department field)

1:1
Fully supported

Alongside 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

maps to

BambooHR

Employee (location field)

1:1
Fully supported

Alongside 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

maps to

BambooHR

Employee (jobTitle field)

1:1
Fully supported

Alongside 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

maps to

BambooHR

ContentDocument (via BambooHR file attachment)

lossy
Fully supported

Employee 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

maps to

BambooHR

BambooHR onboarding (post-migration admin task)

1:1
Fully supported

Alongside 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.

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.

Alongside logo

Alongside gotchas

High

Domain redirects to CareerBeacon — confirm which platform is the live system

Medium

Per-feature pricing creates accumulation risk

Medium

Pipeline automation rules don't export with stage data

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

  • Alongside has no publicly documented API

    Alongside lacks publicly verifiable API documentation, data model, or schema reference in our research corpus. Before any migration work begins, we must establish the actual field inventory through direct API inspection (if an undocumented endpoint exists), customer-provided database export, or a live account schema review. This discovery phase adds one to three weeks to the project timeline and must complete before field mapping can be finalized. Automated migration tooling against Alongside is not possible without this step.

  • BambooHR has a $250 monthly minimum regardless of employee count

    BambooHR charges a flat $250 per month for companies with 25 or fewer employees across all plan tiers. For very small teams migrating from Alongside, this floor can represent a significant per-employee cost increase. We flag this in the pricing section and confirm the customer's employee count before BambooHR plan selection. The BambooHR pricing page and OutSail third-party tracker confirm this floor as of 2026.

  • Time-off policies must exist in BambooHR before import

    BambooHR's time-off import requires that the time-off policy (PTO, sick, or custom type) already exist in the destination account. The import row specifies a policy name, not a policy ID, and BambooHR rejects any row referencing a non-existent policy. We configure all required time-off policies in BambooHR during the pre-import phase before any time-off data is loaded. This is a configuration step that requires admin access to the BambooHR account.

  • File attachments require separate extraction and re-upload

    BambooHR's REST API handles file attachments as a separate upload step tied to an Employee record. If Alongside stores employee documents as blobs or file references, we extract each file individually, resolve the employee ID, and upload via BambooHR's file attachment endpoint. Files without a resolvable employee association go to a manual queue. This step is manual and requires verifying each file's MIME type and original filename.

  • Schema discovery delay can compress the remaining migration timeline

    If the Alongside API inspection phase reveals an unexpected field count, nested data structures, or multiple related objects not anticipated in the original scope, the field mapping documentation must be revised before migration begins. This can push the overall project timeline from the short estimate (three to five weeks) to the long estimate (six to ten weeks). We hold a written scope revision with revised pricing before resuming migration work in this scenario.

Migration approach

Six steps for a successful Alongside to BambooHR data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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

Context on both ends of the pair

Alongside logo

Alongside

Source

Strengths

  • Centralized candidate management with branded careers page out of the box.
  • Useful integrations with BambooHR, LinkedIn for Business, and Meta for Business.
  • Native mobile apps for iOS and Android hiring-manager review.
  • Bulk messaging with templates and team collaboration tools (votes, tags, comments).
  • Capterra reviewer satisfaction averages 4.6/5 with 64% five-star ratings.

Weaknesses

  • Domain redirects to CareerBeacon — product ownership and roadmap unclear.
  • Per-feature pricing model can become expensive as modules are added.
  • Small reviewer base limits ability to compare against enterprise ATSs.
  • Mobile UI for field interviewers cited as a weak spot.
  • Limited public API documentation for custom extracts.
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?

Moderate HRMS migration. 1 of 7 objects need a manual workaround.

C

Overall complexity

Moderate migration

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

  • Object compatibility

    C

    1 of 7 objects need a manual workaround.

  • 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

    Alongside: Not publicly documented — typical SaaS limits assumed and confirmed during scoping.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Alongside 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 Alongside to BambooHR data migrations

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

Can't find your answer?

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Most migrations land between three and five weeks for accounts under 200 employees with a clean source export and no custom field complexity. The primary variable is the Alongside schema discovery phase: if Alongside has a usable undocumented API, discovery takes one to two weeks; if the customer must provide manual exports, discovery takes two to three weeks. Migrations with 200-500 employees, multiple custom Alongside fields, or manager relationship lookups requiring two-pass resolution move to six to ten weeks because of the additional reconciliation passes.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Alongside.
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