HRMS migration
Field-level mapping, validation, and rollback between Crelate and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
Crelate
Source
Recruit CRM & ATS
Destination
Compatibility
7 of 11
objects map 1:1 between Crelate and Recruit CRM & ATS.
Complexity
BStandard
Timeline
3-5 weeks
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Overview
Moving from Crelate to Recruit CRM is a mid-size ATS-to-ATS migration with structural differences in how the two platforms model candidates, clients, and pipeline stages. Crelate organizes data around Contacts (candidates and clients unified), Companies, Jobs, and Opportunities with a 20-field per-entity custom field cap. Recruit CRM uses a parallel ATS + CRM structure with Candidates, Clients, Jobs, and Deals, also supporting custom fields but with different naming conventions and UI-based configuration. We sequence the migration by resolving Companies first (since Jobs, Candidates, and Opportunities all reference them), then Contacts and Candidates, then their linked child records. Crelate's 120 requests per minute API rate limit and 15,000-record single-export ceiling require chunked extraction that we handle with batch processing and exponential backoff. Sequences, automations tied to pipeline stage changes, and the Activity add-on tier flag do not migrate; we deliver a written inventory of these for your admin to rebuild in Recruit CRM's pipeline and workflow tools.
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.
Source platform
Crelate platform overview
Scorecard, SWOT, gotchas, and pricing for Crelate.
Destination platform
Recruit CRM & ATS platform overview
Scorecard, SWOT, gotchas, and pricing for Recruit CRM & ATS.
Data migration guide
The complete Recruit CRM migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Source platform guide
Crelate migration guide
Understand the data you're exporting from Crelate before mapping it.
Destination checklist
Recruit CRM migration checklist
Pre- and post-cutover tasks for moving onto Recruit CRM & ATS.
Source checklist
Crelate migration checklist
Exit checklist for unwinding your Crelate setup cleanly.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Crelate object lands in Recruit CRM & ATS, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Crelate
Contact
Recruit CRM & ATS
Candidate or Client (split by record type)
1:manyCrelate Contact records carry a type or tag field distinguishing candidates from client contacts. We split them during transform: candidate-type Contacts map to Recruit CRM Candidate records with all professional and skills fields preserved; client-type Contacts map to Recruit CRM Client records. The original Crelate Contact type is stored as a custom field migration_tag__c on the destination record for audit. If no type field exists, we use email domain patterns and job-application history to infer classification, flagging ambiguous records in the reconciliation report.
Crelate
Company
Recruit CRM & ATS
Client
1:1Crelate Company records map directly to Recruit CRM Client. The Company name becomes the Client name field, and the domain or website URL is preserved. Recruit CRM's Client object links to associated Job records and Candidate submissions, so we import Companies first to satisfy the parent dependency before any child record (Job, Candidate, Deal) is inserted. We deduplicate on company name plus domain during import.
Crelate
Job
Recruit CRM & ATS
Job
1:1Crelate Job records map to Recruit CRM Job. We preserve the Job-to-Company linkage (Crelate's company_id) as a reference to the imported Client ID. Job status, job title, location, and compensation fields transfer directly. If Crelate Job records carry a pipeline stage (for job-order tracking), we map it to Recruit CRM's Job status values and document any stage-specific automation that will require manual rebuild.
Crelate
Opportunity
Recruit CRM & ATS
Deal
1:1Crelate Opportunity records map to Recruit CRM Deal. The Opportunity name, stage, monetary value, and close date transfer directly. We resolve the Company reference to the imported Client ID and the Owner reference to the matched User. Stage probability percentages are mapped to Recruit CRM's Deal stage weights if available. Pipeline stages are preserved as a configuration mapping rather than a raw field copy.
Crelate
Placement
Recruit CRM & ATS
Placement
1:1Crelate Placements map to Recruit CRM Placements. A Placement is derived from an existing Job and Candidate relationship, so both parent records must exist in Recruit CRM before Placement migration begins. We use the Candidate email and Job title as the linkage key during the Placement import phase, and we preserve placement fee percentage, billing rate, and start date from the source record.
Crelate
Custom Fields (Contacts, Companies, Opportunities)
Recruit CRM & ATS
Custom Fields
lossyCrelate's 20-field per-entity cap is audited during scoping. Any Crelate entity with fewer than 20 fields migrates directly to Recruit CRM custom fields of the matching type (text, number, date, picklist). If the source entity uses the full 20-field cap and the destination has remaining capacity, we migrate all 20. If fields must be dropped, we surface the full ranked inventory during scoping and the customer makes the trade-off explicitly before migration begins.
Crelate
Activity (calls, emails, meetings, tasks)
Recruit CRM & ATS
Activity (calls, emails, meetings, tasks)
1:1Crelate Activities are gated behind a specific pricing tier. We verify the source Crelate plan includes Activity access before including them in migration scope. If included, Activities link to Contacts and Companies and transfer as timestamped activity records on the matching Candidate or Client in Recruit CRM. The Activities object in Crelate does not export via bulk CSV; we retrieve them through the Crelate REST API with pagination and 120 req/min rate-limit handling.
Crelate
Document
Recruit CRM & ATS
Attachment
1:1Documents attached to Crelate Contacts, Companies, Jobs, or Placements are exported via Crelate's bulk export or API and re-uploaded to the corresponding Recruit CRM record. We preserve document file names, MIME types, and upload timestamps. If Crelate's document export produces file URLs rather than file binaries, we download over HTTPS and re-upload to Recruit CRM. Large document volumes may require a separate document migration phase.
Crelate
Tag
Recruit CRM & ATS
Tag
lossyCrelate Tags applied to Contacts, Companies, and Opportunities are extracted and applied as Tags in Recruit CRM. Tags are flat label-based categorizations in both systems, so the mapping is direct. If the customer uses tags as a lightweight segmentation system (e.g., sourcing channel, candidate tier), we preserve the full tag set and note any tag-to-custom-field reclassification options in Recruit CRM.
Crelate
User / Owner
Recruit CRM & ATS
User
1:1Crelate Users (team members who own records) map to Recruit CRM Users by email address match. Any Crelate Owner without a matching Recruit CRM User account is held in a reconciliation queue for the customer's admin to provision before record import resumes. Inactive Crelate users with historical record ownership are mapped to inactive Recruit CRM users so that Owner attribution is preserved in historical reporting.
Crelate
Pipeline Stages (Opportunities and Jobs)
Recruit CRM & ATS
Pipeline Stages (Deals and Jobs)
lossyCrelate Opportunity and Job pipeline stages transfer as stage configuration documentation rather than raw data. We export the stage names, order, and probability weights from Crelate and provide Recruit CRM with the equivalent stage definition for their Deal and Job pipelines. Stage-specific automations (e.g., triggers firing on stage entry) are documented in the automation inventory and do not migrate as active logic.
| Crelate | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| Contact | Candidate or Client (split by record type)1:many | Fully supported | |
| Company | Client1:1 | Fully supported | |
| Job | Job1:1 | Fully supported | |
| Opportunity | Deal1:1 | Fully supported | |
| Placement | Placement1:1 | Fully supported | |
| Custom Fields (Contacts, Companies, Opportunities) | Custom Fieldslossy | Mapping required | |
| Activity (calls, emails, meetings, tasks) | Activity (calls, emails, meetings, tasks)1:1 | Fully supported | |
| Document | Attachment1:1 | Fully supported | |
| Tag | Taglossy | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Pipeline Stages (Opportunities and Jobs) | Pipeline Stages (Deals and Jobs)lossy | 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.
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
Recruit CRM & ATS gotchas
API rate limits are license-scaled and can throttle bulk migration
Custom field schemas vary per organization and require field-level mapping
Files and email attachments require separate extraction and re-upload
Email sequences and automation logic do not transfer between platforms
Pair-specific challenges
Migration approach
Discovery and plan verification
We audit the source Crelate database for record counts (Contacts, Companies, Jobs, Opportunities, Placements), custom field inventory per entity, active Sequences and automation rules, Activity add-on tier status, and API key access. We extract a sample of 50-100 records across object types to validate export format and field populate rates. The discovery output is a written migration scope document confirming which objects are in scope, which require cleanup before extraction, and which are excluded (Sequences, automation logic, import history). We also identify whether the source database requires segmented export runs due to the 15,000-record ceiling.
Contact type classification and schema mapping
We design the Recruit CRM schema before any data extraction. This includes configuring the Candidate and Client object structure (since Crelate Contacts must split into one of these), mapping Crelate custom fields to Recruit CRM custom fields by type, designing the Deal pipeline with stage names and probabilities matched to Crelate Opportunity stages, and setting up the Job status values. The Contact-to-Candidate-or-Client split rule is defined here based on Crelate's contact type field or inferred from email domain and application history. Schema is configured in Recruit CRM before the first production record is imported.
Test migration and reconciliation
We run a full test migration using a Recruit CRM sandbox or trial environment with production-like record volumes. The customer's team spot-checks 30-50 randomly sampled records across object types against the Crelate source for field-level accuracy, linkage correctness (Company-to-Job, Candidate-to-Job, Deal-to-Client), and Activity record completeness. We reconcile record counts per object type and flag any mapping corrections before the production migration begins. Test migration typically runs over two to three days and catches field mapping errors at zero risk to live data.
Owner reconciliation and User provisioning
We extract every distinct Crelate Owner referenced on Contacts, Companies, Jobs, Opportunities, and Placements and match by email against Recruit CRM User accounts. Any Owner without a matching Recruit CRM User goes to a reconciliation queue for the customer's admin to provision. We cannot insert records with Owner references pointing to non-existent users in Recruit CRM. This step must complete before the production migration begins because OwnerId is a required field on most standard objects in both platforms.
Production migration in dependency order
We run the production migration in strict dependency order: Companies (to Clients) first, then Jobs (resolving Company references), then Contacts (split to Candidates and Clients with Company references resolved), then Opportunities (to Deals with Company and Owner references resolved), then Placements (resolving Job and Candidate references), then Activity history via paginated API calls with rate-limit handling, then Documents. Each phase emits a row-count reconciliation report before the next phase begins. If the database exceeds 15,000 records for any object type, we run segmented extraction automatically using sequential date or ID filters and merge before loading.
Cutover, validation, and automation rebuild handoff
We freeze Crelate write access during the cutover window, run a final delta migration of any records modified during the migration run, then designate Recruit CRM as the system of record. We deliver the Sequence and automation inventory document to the customer's admin team with a rebuild guide. We support a five-business-day hypercare window for reconciliation issues raised by the team post-go-live. We do not rebuild Crelate Sequences as Recruit CRM outreach sequences or Crelate automations as Recruit CRM pipeline rules inside the migration scope; that is a separate engagement.
Platform deep dives
Crelate
Source
Strengths
Weaknesses
Recruit CRM & ATS
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 Crelate and Recruit CRM & ATS.
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
Crelate: 120 req/min.
Data volume sensitivity
Crelate 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 Crelate to Recruit CRM & ATS migration scoping. Not seeing yours? Book a call.
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