HRMS migration

Migrate from Unatrix to Crelate

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

Unatrix logo

Unatrix

Source

Crelate

Destination

Crelate logo

Compatibility

75%

9 of 12

objects map 1:1 between Unatrix and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Unatrix combines ATS and CRM in a unified schema built around Candidates, Clients, Jobs, and Projects, with skills auto-extracted from CVs using a tenant-specific taxonomy. Crelate uses a conventional ATS/CRM split: Contacts, Companies, and Opportunities as core records with custom fields for staffing-specific attributes. The structural difference is that Unatrix's Project object (representing a staffing engagement tying a Candidate to a Job under a Client) has no native Crelate equivalent, so we map it to an Opportunity with custom fields capturing the engagement metadata. The qualification taxonomy normalization is the highest-risk element of this migration because each Unatrix tenant defines its own skill categories and names. We discover the full taxonomy during scoping, build a normalization map to Crelate's tag and custom field structure, and validate tag counts post-import. Unatrix has no documented bulk export API, so we coordinate a manual export window with Unatrix support before migration work begins. We do not migrate KPI dashboards, report configurations, or workflow automations as these do not export as self-contained objects.

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

Unatrix logo

Unatrix

What's pushing teams away

  • Low review volume across platforms (4.0 on G2, 3.6 on SoftwareAdvice and GetApp) makes it difficult to gauge long-term customer satisfaction and support quality.
  • Limited public documentation on API rate limits and bulk export capabilities raises concerns for teams needing programmatic data access or migration preparation.
  • Appears to serve a narrow niche (engineering/consulting staffing) which may not scale well for staffing agencies with diverse industry verticals.

Choosing

Crelate logo

Crelate

What's pulling them in

  • Affordable per-seat pricing with transparent tiers makes Crelate accessible for small-to-mid staffing firms evaluating ATS platforms for the first time.
  • Fast implementation reported by customers—some describe getting live in a matter of minutes with support team assistance.
  • Unified ATS + CRM in a single product eliminates the need to buy and synchronize separate recruiting and sales tools.
  • Flexible custom fields across Contacts, Companies, and Opportunities allow recruiting teams to capture firm-specific data without developer involvement.
  • Positive reviews highlight the product's intuitive interface and functional breadth for teams that need recruiting workflows without enterprise overhead.

Object mapping

How Unatrix objects map to Crelate

Each row shows how a Unatrix 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.

Unatrix

Candidate

maps to

Crelate

Contact

1:1
Fully supported

Unatrix Candidate records map directly to Crelate Contact records. Standard fields (name, email, phone, address, current_title, current_company) migrate 1:1 using Crelate's API v3 Contact endpoint. Unatrix custom properties on Candidate migrate to Crelate custom fields on Contact, which we pre-create during the schema design phase with matching field types (text, numeric, picklist, date). Active versus inactive status is preserved as a Contact status value. Candidate source attribution and tags migrate as Crelate tags under the Default category or a custom tag category.

Unatrix

Qualifications

maps to

Crelate

Tags + Custom Fields

lossy
Mapping required

Unatrix Qualifications are extracted skill and competence tags attached to Candidate records using a tenant-specific taxonomy. During scoping we discover the full taxonomy (skill names, categories, hierarchy depth) and build a normalization map to Crelate's tag structure. Each Unatrix qualification category becomes a Crelate tag category; qualification names become tag values. High-frequency qualifications that require structured reporting migrate as custom picklist fields on Contact rather than tags. The mapping is validated by sampling 25 Candidate records across different sourcing channels before bulk migration.

Unatrix

Client

maps to

Crelate

Company

1:1
Fully supported

Unatrix Client records (representing companies or organizations as the CRM counterpart to Candidates) map to Crelate Company records. Company name, website, industry, size, address, and contact information migrate 1:1. Unatrix custom fields on Client migrate to Crelate custom fields on Company. Client status (active, inactive, prospect) maps to Crelate Company status. The Client-to-Job relationship is preserved as a tag or custom field on the Job/Opportunity during the subsequent import phase.

Unatrix

Job

maps to

Crelate

Opportunity

1:1
Fully supported

Unatrix Job records (representing open positions or requisitions) map to Crelate Opportunity records. Job name becomes Opportunity name; job description and requirements migrate as Opportunity description fields or custom fields. Job status (open, filled, closed, on hold) maps to Crelate Opportunity stage values, with the mapping defined during schema design. Required qualifications from the Job record migrate as tags on the Opportunity to support Crelate's search and filter functionality. Job-to-Client linkage (the parent organization for the requisition) resolves to the Company record created during the Company migration phase.

Unatrix

Project

maps to

Crelate

Opportunity (with custom fields)

1:many
Fully supported

Unatrix Project is the staffing engagement object that ties a Candidate to a Job under a Client, capturing placement metrics and performance data. Crelate has no native Project object. We map Unatrix Projects to Crelate Opportunities using a split strategy: the core engagement metadata (client, job, candidate, placement date, fee, status) migrates as Opportunity fields and tags, and any extended metrics (submittal-to-placement ratio, client satisfaction score, etc.) migrate as custom fields on the Opportunity. If a single Unatrix Project links multiple Candidates to a single Job, each engagement creates a separate Opportunity with a shared custom field referencing the original Project ID for audit traceability.

Unatrix

Interviews and Events

maps to

Crelate

Events + Tasks

1:1
Mapping required

Unatrix Interview schedules and team events (date ranges, assigned team members, location, status) migrate to Crelate Event records. The interview type and status map to Crelate Event custom fields or tags. Attendee mapping links to EventRelation records pointing to the resolved Contact (Candidate) and User (team member). Cancelled or rescheduled interviews migrate with their original timestamps and a status tag to preserve the scheduling history that recruiters reference during placement audits.

Unatrix

Documents

maps to

Crelate

Documents (linked to Contact)

1:1
Mapping required

CVs and attachments stored against Unatrix Candidate records are extracted where accessible via the Unatrix REST API. We migrate document references (file name, upload date, file size, mime type) and associate them with the corresponding Crelate Contact record. Binary file content (PDF, DOCX) requires separate file handling: we extract the document references and store them in a designated location with a manifest mapping each file to its destination Contact ID. The Crelate Contact record carries a custom field document_reference__c pointing to the file location. CV parsing for skills extraction is not repeated in Crelate because the qualification normalization step covers that work.

Unatrix

Users and Team Members

maps to

Crelate

Users

1:1
Fully supported

Unatrix User accounts (sales managers, recruiters, administrators) map to Crelate User records by email match. Role-based permissions (recruiter, sales manager, admin) migrate as Crelate User Role assignments. Active versus inactive status is preserved to ensure that records owned by inactive users remain accessible in Crelate. We resolve users by email; any Unatrix User without a matching Crelate User goes to a reconciliation queue for the customer to provision before record migration resumes.

Unatrix

Tags and Custom Fields

maps to

Crelate

Tags + Custom Fields

lossy
Mapping required

Unatrix supports custom fields on Candidate and Job objects, and an elaborate tagging system for qualifications. During discovery we identify every custom field definition in the source tenant, classify each by data type (text, numeric, date, picklist, boolean), and pre-create matching custom fields in Crelate on the appropriate core record (Contact for Candidate fields, Opportunity for Job fields, Company for Client fields). Picklist values from Unatrix migrate as Crelate picklist options. Boolean flags migrate as Crelate checkbox fields. Tag categories from Unatrix migrate as Crelate tag categories with the same names.

Unatrix

KPIs and Reports

maps to

Crelate

None

1:1
Not supported

Unatrix KPI dashboards and report configurations are generated from raw placement data and do not export as self-contained objects. We do not migrate them. We migrate the underlying data records (Candidates, Jobs, Projects, engagement history) so that Crelate's native reporting can generate equivalent metrics post-migration. The customer receives a written list of Unatrix KPI definitions (placement rate, cost-per-hire, time-per-hire) mapped to Crelate reporting fields so their admin can rebuild dashboards in Crelate Analytics.

Unatrix

Placement History

maps to

Crelate

Tasks (activity log entries)

1:1
Fully supported

Unatrix tracks placement outcomes (candidate placed, job filled, start date, fee charged) as part of the Project record. We extract placement events and create Crelate Task records with TaskSubtype=Placement or a custom Activity type tag, linked to the Opportunity and Contact. Placement date and fee migrate as custom fields on the Task. This preserves the historical pipeline activity that staffing agencies use for revenue attribution and client reporting.

Unatrix

Search History and Match Preferences

maps to

Crelate

Tags (preserved context)

1:1
Fully supported

Unatrix preserves recruiter search history and match preferences as part of its Candidate-to-Job matching workflow. These are not standard API-exportable fields but represent valuable recruiter knowledge. We extract available match scores and saved search criteria where accessible via the REST API and store them as custom fields or tags on the Contact record (candidate_search_score__c, saved_search_criteria__c) so that the matching context is not entirely lost in the migration.

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.

Unatrix logo

Unatrix gotchas

High

No documented bulk export API endpoint

Medium

Qualification taxonomy is tenant-specific

Medium

Project object is not a standard CRM concept

Crelate logo

Crelate gotchas

High

120 req/min API rate limit throttles bulk migrations

High

20 custom field per-entity cap forces data model decisions

Medium

15,000-record export ceiling on single operations

Medium

Sequences and automation workflows do not migrate

Low

API key is a querystring parameter, not a header

Pair-specific challenges

  • No documented bulk export API requires manual Unatrix export coordination

    Unatrix provides a REST API for integrations but has no documented bulk or batch export endpoint in its public API documentation. Teams planning migration must request a data export through Unatrix support, which adds coordination overhead and depends on Unatrix's responsiveness and availability to fulfill the request within the migration timeline. We flag this during scoping, negotiate a manual export window with the Unatrix team, and structure the migration plan around the export delivery date rather than a self-service API pull. If Unatrix cannot provide an export within the required timeframe, we escalate to alternative extraction methods based on what the REST API exposes for individual record retrieval.

  • Qualification taxonomy normalization is tenant-specific and requires discovery

    Skills and qualifications in Unatrix are extracted from CVs using a taxonomy that each tenant customizes independently. The skill names, categories, and hierarchy vary between organizations, and the taxonomy does not export as a structured object. We invest a full discovery phase mapping the complete taxonomy from sampled Candidate records before designing the Crelate tag structure. Skipping this step results in unqualified skill tags in Crelate that do not align with the organization's actual qualification language, breaking search and filter functionality that recruiters depend on. The normalization map must be validated with the customer's recruiting leadership before bulk migration begins.

  • Unatrix Project object has no native Crelate equivalent

    Unatrix uses a Project object to represent staffing engagements that link a Candidate to a Job under a Client, capturing placement metrics and performance data. Crelate has no native Project concept. We map Unatrix Projects to Crelate Opportunities with custom fields for engagement metadata. This is a conceptual transformation, not a direct field copy, and the customer's admin should validate that the Opportunity-based model captures the required reporting dimensions (client satisfaction, submittal-to-placement ratio, fee structure) after migration. If a single Unatrix Project spans multiple placements, we create separate Opportunities with a shared custom Project reference ID for audit traceability.

  • Crelate custom field limits vary by plan and require pre-creation

    Crelate's Business plan limits Advanced Custom Fields to 10 per core record (Contact, Company, Opportunity), with higher limits available on Business Plus and Enterprise. Unatrix custom fields on both Candidate and Job objects can exceed this count in complex staffing schemas. We audit all Unatrix custom field definitions during discovery, categorize them by core record, and work with the customer to prioritize the highest-value fields for migration within Crelate's plan limits. Lower-priority custom fields are documented in a field inventory for the customer's admin to create post-migration if the plan upgrade supports it.

  • Crelate API rate limits require batch chunking for large engagement histories

    Crelate's API documentation does not publish explicit per-second rate limits in its public developer guide, but the API operates with standard REST conventions including pagination and throttling responses. We implement exponential backoff and batch chunking (60 records per batch based on observed API behavior) when loading large record sets. Activity history and placement records are loaded after core records (Contacts, Companies, Opportunities) to ensure parent-record lookups are satisfied at insert time. Without chunking, large imports can trigger throttling errors that delay the migration timeline.

Migration approach

Six steps for a successful Unatrix to Crelate data migration

  1. Discovery and export coordination

    We audit the source Unatrix tenant for record counts (Candidates, Clients, Jobs, Projects, Qualifications, Users), custom field definitions on Candidate and Job objects, the qualification taxonomy structure (sampled from 50+ Candidate records), and active versus inactive status distribution. In parallel, we coordinate with Unatrix support to request a data export within a defined window. We pair the audit with a Crelate account review (edition selection, seat count, custom field limits) and identify any Unatrix records that may require API-based extraction rather than bulk export.

  2. Schema design and taxonomy normalization

    We design the destination Crelate schema based on the audit findings. This includes pre-creating custom fields on Contact, Company, and Opportunity to match Unatrix custom property definitions, mapping the Unatrix qualification taxonomy to Crelate tag categories and values, and defining the Project-to-Opportunity mapping with custom engagement fields. The taxonomy normalization map is validated with the customer's recruiting leadership before any data moves. We deploy the schema to a Crelate staging environment (or advise the customer to provision one) for the test migration phase.

  3. Test migration and reconciliation

    We run a full migration into the Crelate staging or sandbox environment using production-like data volume. The customer's team reconciles record counts (Contacts in vs Candidates sourced, Companies in vs Clients sourced, Opportunities in vs Jobs plus Projects sourced), spot-checks 25-50 random records against the Unatrix source, and reviews the qualification tag distribution for accuracy. The Project-to-Opportunity split is validated by tracing three or more Unatrix Projects through to their Crelate Opportunity representations. Any mapping corrections, custom field additions, or taxonomy adjustments happen at this stage.

  4. Unatrix export extraction and data preparation

    Once the export is delivered from Unatrix, we validate file completeness (record counts, field coverage, document references), transform the data using the agreed mapping schema, and stage it for Crelate API ingestion. Document files are extracted and organized with a manifest mapping each file to its destination Contact ID. If the export is incomplete or missing expected fields, we pursue supplemental API-based extraction for individual record types and document the gap in the migration report.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Companies (from Unatrix Clients), Contacts (with tags and qualification normalization applied), Opportunities (with Job fields and Project engagement metadata as custom fields), Users (validated by email match against Crelate User table), Events and Tasks (interviews, placements, activity history via chunked API loads), and Documents (file references linked to Contact records). Each phase emits a row-count reconciliation report before the next phase begins. Owner resolution happens before record migration so that OwnerId references are satisfied at insert time.

  6. Cutover, validation, and handoff

    We coordinate a cutover window during off-peak hours, run a final delta migration of any records modified after the initial export, and enable Crelate as the system of record. We deliver a written migration report covering record counts migrated, any fields not migrated with reason codes, the qualification taxonomy normalization map, and the Project-to-Opportunity mapping summary. We do not migrate Unatrix KPI dashboards or report configurations; the report includes the Unatrix KPI definitions mapped to Crelate reporting fields for the customer's admin to rebuild in Crelate Analytics. We support a one-week hypercare window for reconciliation issues.

Platform deep dives

Context on both ends of the pair

Unatrix logo

Unatrix

Source

Strengths

  • Combines ATS and CRM in one platform purpose-built for staffing workflows rather than generic HR.
  • Auto-extraction of skills and qualifications from uploaded CVs reduces manual tagging effort.
  • Integrated search and match functionality surfaces qualified Candidates based on Job requirements.
  • Built-in KPI reporting provides placement metrics, cost-per-hire, and time-per-hire visibility.
  • Multilingual support (DE, EN, FR, IT, ES) suits European staffing agency operations.

Weaknesses

  • Very low review volume across major platforms limits visibility into real-world user experience.
  • No public documentation of API rate limits or bulk export endpoints complicates migration planning.
  • Narrow vertical focus on engineering/consulting staffing may not suit agencies with broader industry coverage.
  • Smaller vendor footprint (7 LinkedIn employees) raises questions about long-term product support and development capacity.
Crelate logo

Crelate

Destination

Strengths

  • Unified ATS and CRM in a single platform reduces data synchronization overhead for recruiting teams.
  • Fast setup with guided implementation reported as a significant time saver for small teams.
  • Transparent per-seat pricing without surprise fees at the base tier.
  • Flexible custom field configuration across core objects without developer dependency.
  • Export capability supports up to 15,000 records per operation for Contacts, Companies, and Opportunities.

Weaknesses

  • API rate limit of 120 requests per minute restricts bulk migration throughput.
  • Custom field cap of 20 per entity requires field consolidation for complex recruiting schemas.
  • All advanced features (Activities, Activity Forms, Core Record Field customization) are tier-gated add-ons.
  • Customer service responsiveness receives consistent negative feedback in reviews.
  • Resume parsing quality trails competitors and generates support requests.

Complexity grading

How hard is this migration?

Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Unatrix and Crelate.

  • Object compatibility

    B

    1 of 7 objects need a mapping; the rest are 1:1.

  • 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

    Unatrix: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Unatrix to Crelate 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 Unatrix to Crelate data migrations

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

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Most migrations land between three and five weeks for accounts under 10,000 Candidates and 2,000 Jobs with a straightforward qualification taxonomy and no complex Project engagement history. Migrations with a multi-level skill taxonomy, large Project records (over 20,000 engagement entries), or extensive custom field schemas on both Candidate and Job objects move to eight to twelve weeks because of taxonomy discovery, normalization mapping, and the multi-pass custom field configuration required. The Unatrix export delivery window is a dependency that can add one to three weeks if vendor coordination is slow.

Adjacent paths

Related migrations to explore

Ready when you are

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