HRMS migration
Field-level mapping, validation, and rollback between RESUMate and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.
RESUMate
Source
Crelate
Destination
Compatibility
8 of 12
objects map 1:1 between RESUMate and Crelate.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from RESUMate to Crelate is a file-based migration: RESUMate publishes no public API, so all data extraction relies on its built-in CSV export for structured records and proprietary file formats for resume attachments. We prepare customer-specific import scripts and use Crelate's Bulk API with rate-limit handling to ingest the exported data. The core work is maintaining the relational integrity of RESUMate's Candidate-to-Client-to-Job-Order triad across the migration, pre-creating Crelate's schema for any unlimited custom fields, and mapping Groups to Crelate Tags. RESUMate's Active Jobs (pipeline stage views) and Send-out history migrate as Job status fields and candidate submission records respectively. Crelate charges $119 per user per month on the Business tier against RESUMate Cloud at $49 per user per month, so teams should factor the subscription delta into the switch ROI. Workflows, automations, and sequences do not migrate; we deliver a written inventory for admin rebuild.
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 RESUMate 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.
RESUMate
Candidate
Crelate
Contact
1:1RESUMate Candidate records map directly to Crelate Contact. The parsed resume text maps to Crelate's contact profile fields; phone, email, address, and current employer transfer as standard fields. We map the source candidate's status (Active, Placed, Passive) to Crelate's contact status enumeration. Any RESUMate custom fields on the Candidate record are pre-created in Crelate as custom contact fields before migration and populated during the bulk load.
RESUMate
Client
Crelate
Company
1:1RESUMate Client records map to Crelate Company. Client name, address, industry classification, and any client-specific notes transfer as standard Company fields. We extract the Client record as the first phase of migration so that the Company ID is available for resolving the Candidate-to-Client relationship when Contacts are loaded in the second phase.
RESUMate
Job Order
Crelate
Job
1:1RESUMate Job Order records map to Crelate Job. Job title, description, requirements, status (Open, Filled, Closed, On Hold), and assigned recruiter transfer as standard Job fields. The Job-to-Client link from RESUMate maps to the Job's Company association in Crelate. We load Jobs after Companies but before Candidates to satisfy the parent-record lookup constraint.
RESUMate
Send-out
Crelate
Candidate Submission
1:1RESUMate Send-outs — which track when a Candidate is submitted to a Job Order — map to Crelate Candidate Submission records or the equivalent activity type in the Crelate Job pipeline. We reconstruct the send-out as a submission event with the candidate, job, date, and submission status (Sent, Interview, Offer, Placement) preserved. If Crelate does not have a standalone submission object at the customer's tier, we map send-out data to an activity note on the Contact tied to the Job.
RESUMate
Active Jobs
Crelate
Job Status and Pipeline Stage
lossyRESUMate Active Jobs are filtered views of Job Orders organized by pipeline stage and status. These are derived views, not separate records. We extract the active pipeline stage assignment from Active Jobs and apply it as a Job status field in Crelate. The customer's specific pipeline stage labels (for example: Sourced, Screened, Interviewing, Offered, Placed) are mapped to Crelate's Job status enumeration during configuration.
RESUMate
Group
Crelate
Tag
lossyRESUMate Groups are named segmentation lists that organize Candidates, Clients, or Job Orders. We extract Group membership as a tag-keyed export and create corresponding Tags in Crelate. The tag is applied to the matching Contact, Company, or Job record during bulk load. We configure tag creation before migration so that the tag vocabulary is available at import time.
RESUMate
Note
Crelate
Activity Note
1:1RESUMate Notes on Candidates, Clients, and Job Orders transfer as Activity Note records in Crelate's contact and company timeline. Each note carries the original timestamp, author (recruiter name), and note body. We link the activity note to the correct Contact or Company by resolving the RESUMate record ID to the migrated Crelate ID during the transform phase.
RESUMate
Calendar
Crelate
Event
1:1RESUMate Calendar events linked to Candidates, Clients, or Job Orders transfer as Crelate Event records. Event type (interview, client call, internal meeting), date, time, and notes are preserved. We resolve the event's parent record reference at migration time and link the Event to the migrated Contact or Job in Crelate.
RESUMate
Resume Files and Attachments
Crelate
Contact Resume Document
1:1Original resume files from RESUMate (Word, PDF, plain text) are extracted as binary blobs and uploaded to Crelate as Contact resume documents linked to the matching Candidate Contact. We handle the file upload in Crelate's document attachment API after the Contact record is created and verified. If the RESUMate database stores resume files in a proprietary or encrypted format, we work with the customer during discovery to confirm file exportability.
RESUMate
Custom Field (Candidate-level)
Crelate
Custom Contact Field
lossyRESUMate's unlimited custom field capability means the actual field schema is installation-specific. We discover the full candidate custom field schema during discovery, pre-create matching custom fields in Crelate's contact object before migration, and handle any data type translation (date fields, picklist values, free text) during the transform phase. RESUMate custom fields capturing industry-specific candidate data points are preserved as-is or normalized if the destination field type differs.
RESUMate
Custom Field (Job Order-level)
Crelate
Custom Job Field
lossyRESUMate job orders frequently carry custom fields for industry-specific job requirements, compensation ranges, or sourcing notes. We discover the job custom field schema during discovery, pre-create matching custom fields in Crelate's Job object, and map values during the Job phase of migration. Custom fields that reference other RESUMate records (for example, a Preferred Client custom field) are resolved to the migrated Crelate ID before insert.
RESUMate
Owner
Crelate
User
1:1RESUMate Owner records (assigned recruiters) map to Crelate User records by email match. We extract all distinct owner IDs from Candidate, Client, and Job Order records and resolve them against the destination Crelate user list. Any RESUMate owner without a matching Crelate user is flagged in a reconciliation report for the customer's admin to provision before record import resumes, since OwnerId is required on most standard record types.
| RESUMate | Crelate | Compatibility | |
|---|---|---|---|
| Candidate | Contact1:1 | Fully supported | |
| Client | Company1:1 | Fully supported | |
| Job Order | Job1:1 | Fully supported | |
| Send-out | Candidate Submission1:1 | Fully supported | |
| Active Jobs | Job Status and Pipeline Stagelossy | Mapping required | |
| Group | Taglossy | Fully supported | |
| Note | Activity Note1:1 | Fully supported | |
| Calendar | Event1:1 | Mapping required | |
| Resume Files and Attachments | Contact Resume Document1:1 | Mapping required | |
| Custom Field (Candidate-level) | Custom Contact Fieldlossy | Fully supported | |
| Custom Field (Job Order-level) | Custom Job Fieldlossy | Fully supported | |
| Owner | User1:1 | 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.
RESUMate gotchas
No public API forces file-based migration
Desktop-to-Cloud data is not automatically portable
Cloud connectivity drops interrupt live migration sessions
Per-user setup fees compound on multi-seat migrations
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
Discovery and deployment verification
We audit the source RESUMate installation across deployment mode (Desktop, Cloud, or Cloud-Office), record counts (Candidates, Clients, Job Orders, Send-outs, Notes), and custom field inventory. We verify CSV export capability in the customer's specific deployment mode: Desktop users confirm local export tool access, Cloud users confirm browser-based export availability. We inventory Groups, Active Jobs pipeline stages, and any resume attachment volumes. The discovery output is a written migration scope, record count estimate, and a migration order plan that accounts for the file-based extraction constraints.
Schema pre-creation in Crelate
Before any data moves, we pre-create the destination schema in the customer's Crelate environment. This includes all custom Candidate fields discovered from RESUMate, all custom Job Order fields, and the tag vocabulary derived from RESUMate Groups. We configure the Job pipeline stages by mapping RESUMate Active Job status labels to Crelate Job status values. Custom fields referencing other record types (for example, a Preferred Client lookup on a Job) are created with the correct field type in Crelate so that the lookup can resolve during the migration load phase. The customer validates the schema in a Crelate sandbox or test environment before production migration begins.
File extraction and initial data profiling
We guide the customer through RESUMate's built-in CSV export process (or perform an assisted extraction for Desktop deployments). We extract Candidates, Clients, Job Orders, Notes, and Send-outs as structured CSV files. Resume files are extracted separately as binary attachments. We profile the extracted data for quality issues: duplicate email addresses, missing required fields, inconsistent date formats, and orphaned records (Candidates with no associated Client or Job). We produce a data quality report and remediate correctable issues (standardizing date formats, deduplicating by email) before the mapping phase.
Crelate sandbox migration and reconciliation
We run a full migration into a Crelate sandbox environment using production data volume. We load Companies first (from RESUMate Clients), then Jobs (resolving the Company lookup), then Contacts (resolving Company and any sourcing Job), then Activity notes and Send-outs. Resume files are uploaded in 250-record chunks per Crelate's import limit. The customer reconciles record counts, spot-checks 25-50 random records against the RESUMate source, and validates that the three-way Candidate-Client-Job link is intact in Crelate. Any field mapping corrections and schema adjustments happen in the sandbox before production migration begins.
Owner reconciliation and User provisioning
We extract every distinct RESUMate owner ID from Candidate, Client, and Job Order records and match by email against the destination Crelate User list. Any owner without a matching Crelate User is flagged in a reconciliation report for the customer's admin to provision before production migration. Migration cannot proceed past this step because OwnerId or assigned recruiter references are required on most standard Crelate record types. We verify active versus inactive user status for each match so that historical assignments are preserved correctly in Crelate.
Production migration in dependency order
We run production migration in record-dependency order: Companies (from RESUMate Clients), Jobs (with CompanyId resolved), Contacts (with CompanyId and sourcing Job lookups resolved), Send-outs (with CandidateId and JobId resolved), Notes (linked to parent Contact or Company), Calendar events (linked to parent record), and resume files (uploaded in 250-record chunks after Contact creation). Each phase emits a row-count reconciliation report before the next phase begins. We apply a final delta migration of any records modified during the migration window, then hand off to the customer for Crelate platform validation.
Cutover, validation, and automation inventory handoff
We freeze RESUMate writes during cutover, run a final delta migration, then hand off Crelate as the system of record. We deliver the written automation inventory documenting any recurring task patterns, sequence logic, or workflow triggers discovered in RESUMate, mapped to recommended Crelate equivalents. We support a one-week hypercare window for reconciliation issues raised by the customer's recruiting team. We do not rebuild automations, sequences, or custom Crelate workflows within the migration scope; that is a separate configuration engagement for the customer's admin.
Platform deep dives
RESUMate
Source
Strengths
Weaknesses
Crelate
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 RESUMate and Crelate.
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
RESUMate: Not applicable — no public API.
Data volume sensitivity
RESUMate 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
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