HRMS migration
Field-level mapping, validation, and rollback between Rival and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.
Rival
Source
Crelate
Destination
Compatibility
8 of 12
objects map 1:1 between Rival and Crelate.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Rival HRMS and Crelate ATS serve different operational layers: Rival consolidates recruiting, onboarding, learning, and HR administration in one platform, while Crelate is a dedicated ATS and CRM built for recruiting and staffing agencies. Migrating from Rival to Crelate is a category transition — the recruiting module in Rival (candidates, job orders, placements, employee records) maps to Crelate's candidate and job order objects, but the HRMS functions without a Crelate equivalent (PTO accrual tracking, benefits administration, learning management) require manual setup or an additional HR platform post-migration. The primary migration complexity is Rival's absence of a public export API, which requires coordinated platform-assisted data extraction before any transformation or import into Crelate begins. We handle that coordination, validate the extracted schema, and map custom Rival fields against Crelate's data model before writing any records.
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 Rival object lands in Crelate, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Rival
Employee
Crelate
Candidate
1:1Rival Employee records map to Crelate Candidate profiles. Core fields (name, email, phone, job title, department, hire date) migrate directly. The employee's current job title in Rival becomes the Candidate's target title; department becomes a custom Candidate field or tag. We resolve the mapping against Crelate's Candidate object schema during discovery.
Rival
Organizational Structure
Crelate
Organization + Candidate Tags
1:manyRival's department and reporting-line relationships are stored as a related node graph. Crelate does not have a native org hierarchy object; departments and reporting relationships must be decomposed into flat structures. Department names migrate as tags on Candidate records; reporting relationships (manager-employee) migrate as a custom Manager field pointing to the manager's Candidate record or as a tag. This decomposition adds a discovery step to understand the full graph before flattening.
Rival
Compensation History
Crelate
Candidate Custom Fields
1:manyRival stores compensation with effective dates, meaning one Employee record can have multiple compensation rows over time. Crelate Candidate records store compensation as current-state fields. We extract the most recent compensation record (by effective_date descending) and write it as the Candidate's salary field. Full historical compensation rows are mapped to a custom multi-line text or notes field so the effective-date sequence is preserved for audit rather than lost entirely.
Rival
PTO Balances
Crelate
Not Migrated
lossyRival PTO balances are current-state values with no direct Crelate ATS equivalent. Crelate is a recruiting platform, not an HRMS. PTO balance data cannot be meaningfully represented in Crelate's candidate model. We extract the balance snapshot at migration time and deliver it as a structured CSV for the customer's admin to either ignore or import into a separate HR system post-migration.
Rival
Benefits Enrollment
Crelate
Candidate Custom Fields
1:1Rival benefits data (plan names, coverage tiers, enrollment dates) is mapped as structured records per Employee to Crelate Candidate custom fields. Plan names and tier information migrate as text fields on the Candidate. Carrier-specific IDs are flagged as non-mappable because Crelate does not have a native benefits carrier integration and these IDs are destination-system-specific.
Rival
Job Titles and Departments
Crelate
Candidate Tags + Custom Fields
1:1Job titles and department assignments are standard flat fields in Rival and migrate directly to Crelate Candidate fields. Department names are written as tags on the Candidate to support Crelate's filtering and reporting by department. Job title migrates as the Candidate's primary professional title field.
Rival
Locations
Crelate
Candidate Address Fields
1:1Location data (office addresses, remote designations) is a flat field on Rival Employee records. It migrates directly to Crelate Candidate's address and location fields with minimal transformation. Remote or hybrid designations migrate as a custom Candidate field or tag.
Rival
Custom Fields
Crelate
Custom Candidate Fields
lossyRival custom fields are customer-defined with no public schema registry. We discover the live schema by coordinating with the customer's Rival administrator during scoping, then build a per-migration field-mapping table before executing any writes. Each discovered custom field is typed (text, date, number, picklist) and mapped to an equivalent Crelate custom Candidate field. This discovery step adds time to the project timeline and is not required when migrating from platforms with published schemas.
Rival
Users and Roles
Crelate
Crelate Users
1:1Rival's user and role model (admin, manager, employee role types) maps to Crelate Users by email match. Role names differ across platforms and require explicit mapping during scoping. Crelate's permission model is role-based with configurable access levels. We flag any Rival roles without a direct Crelate equivalent for the customer's admin to resolve post-migration.
Rival
Documents
Crelate
Not Migrated
1:1Employee documents (offer letters, contracts, ID scans) are stored as binary blobs in Rival's document management module with no documented export endpoint. We cannot guarantee document fidelity in a self-serve migration and do not include binary files in the migration scope. We deliver a document inventory CSV mapping filenames and associated Employee IDs to facilitate manual re-upload in Crelate post-migration.
Rival
Job Orders (Rival Recruiting Module)
Crelate
Job Order
1:1If Rival contains active job orders from its recruiting module, these map to Crelate Job Order records. Job title, description, requirements, status, and assigned recruiter migrate directly. We discover whether the Rival instance contains active job orders during scoping since not all Rival deployments use the recruiting module.
Rival
Candidate Submissions (Rival Recruiting Module)
Crelate
Submission / Application
1:1Candidate submissions and application history from Rival's recruiting module map to Crelate Submission or Application records linked to the corresponding Candidate and Job Order. Submission status, submission date, and source information migrate. Any submission notes or feedback fields map to Crelate activity or notes on the Submission record.
| Rival | Crelate | Compatibility | |
|---|---|---|---|
| Employee | Candidate1:1 | Fully supported | |
| Organizational Structure | Organization + Candidate Tags1:many | Mapping required | |
| Compensation History | Candidate Custom Fields1:many | Mapping required | |
| PTO Balances | Not Migratedlossy | Mapping required | |
| Benefits Enrollment | Candidate Custom Fields1:1 | Mapping required | |
| Job Titles and Departments | Candidate Tags + Custom Fields1:1 | Fully supported | |
| Locations | Candidate Address Fields1:1 | Fully supported | |
| Custom Fields | Custom Candidate Fieldslossy | Mapping required | |
| Users and Roles | Crelate Users1:1 | Mapping required | |
| Documents | Not Migrated1:1 | Not supported | |
| Job Orders (Rival Recruiting Module) | Job Order1:1 | Fully supported | |
| Candidate Submissions (Rival Recruiting Module) | Submission / Application1:1 | 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.
Rival gotchas
No publicly documented export API for self-serve data extraction
Documents and binary attachments are not exportable via standard means
Custom fields have no stable schema for automated mapping
Crelate gotchas
120 req/min API rate limit throttles bulk migrations
20 custom field per-entity cap forces data model decisions
15,000-record export ceiling on single operations
Sequences and automation workflows do not migrate
API key is a querystring parameter, not a header
Pair-specific challenges
Migration approach
Platform-assisted export coordination
We initiate contact with Rival's support or customer success team to request a structured data export. We specify the required objects (Employee, Organizational Structure, Compensation History, PTO Balances, Benefits, Custom Fields, Documents) and the preferred export format (CSV or JSON). If Rival requires a formal export request or has a processing window, we account for this delay in the project timeline and do not begin transformation work until the export file is received and validated.
Schema discovery and field-mapping design
We review the exported file structure against Rival's documented object model and identify any custom fields that require per-migration discovery via the customer's Rival administrator. We build a written field-mapping table that assigns each Rival field to a typed Crelate Candidate or custom field, documents any transformations (effective-date compensation to current-state, hierarchy to flat tags), and flags fields with no Crelate equivalent for customer decision.
Org hierarchy decomposition
We extract the full department and reporting-line graph from Rival's organizational structure export. We decompose the hierarchy into flat structures suitable for Crelate's tag and custom-field model: department names become tags, manager relationships become a custom Manager field or tag, and any deeper hierarchy levels are flattened with a separator notation for the customer's admin to review. The decomposed structure is documented and shared with the customer before import.
Staging migration and reconciliation
We run a full migration into Crelate's staging or sandbox environment using production-like data volume. The customer's Rival administrator reconciles record counts, spot-checks 25-50 random Candidate records against the Rival source data, and signs off the field-mapping and transformation logic before production migration begins. Any mapping corrections happen in staging, not in production.
Production migration in dependency order
We run production migration in record-dependency order: Candidate profiles first (from Employee records), then custom fields and tags (from Rival custom fields), then org decomposition data (department tags, manager fields), then compensation current-state values, then job orders and submissions from Rival's recruiting module if present. Each phase emits a row-count reconciliation report before the next phase begins. We use Crelate's API for record inserts with rate-limit handling and exponential backoff.
Cutover, document handoff, and post-migration inventory
We freeze Rival writes during cutover and run a final delta migration of any records modified during the migration window. We deliver the document inventory CSV mapping filenames to employee IDs for manual re-upload in Crelate. We deliver the compensation history snapshot CSV and the org hierarchy decomposition map as reference documents. We support a 48-hour post-migration validation window for the customer's team to spot-check records in the live Crelate environment. We do not rebuild automations, workflows, or HRMS-specific modules post-migration; those are outside the migration scope.
Platform deep dives
Rival
Source
Strengths
Weaknesses
Crelate
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 2 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 Rival and Crelate.
Object compatibility
2 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
Rival: N/A — no public API.
Data volume sensitivity
Rival 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
Answers to the questions buyers ask most during Rival to Crelate migration scoping. Not seeing yours? Book a call.
Walk through your Rival to Crelate migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Rival
Other ways to arrive at Crelate
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.