HRMS migration

Migrate from CatalystOne to Crelate

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

CatalystOne logo

CatalystOne

Source

Crelate

Destination

Crelate logo

Compatibility

75%

9 of 12

objects map 1:1 between CatalystOne and Crelate.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

CatalystOne organises HR data around Persons, Positions, Competencies, and Succession Plans — an employment lifecycle model. Crelate is a recruiting-focused ATS and CRM built around Contacts, Companies, Jobs, and Submissions. This is a domain-shift migration: we map Candidate and Contact records from Crelate into CatalystOne's Person and employment structure, preserving the original Crelate ID as a cross-reference field. Most field mapping is straightforward (name, email, phone, title), but tagging systems require picklist reconfiguration, application histories become activity notes, and custom fields demand a pre-migration schema discovery pass because CatalystOne does not publish its data model publicly. Workflows, automation rules, and email sequences do not migrate; we deliver a written inventory of active configurations for the customer's admin to rebuild in Crelate. The process follows standard ETL: extract via Crelate's REST API, transform against the mapping schema, and load using Crelate's import tools with test-then-production validation.

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

CatalystOne logo

CatalystOne

What's pushing teams away

  • Limited customisation options frustrate organisations with non-standard HR processes or complex organisational structures that cannot be modelled within the platform's constraints.
  • Reportedly expensive at scale, with costs rising significantly for larger headcounts compared to regional alternatives or global HCM platforms.
  • Reporting capabilities described as complex and inflexible, making it difficult for HR teams to extract actionable workforce insights without specialist help.
  • Long implementation timelines (3–6 months reported) create friction for organisations needing faster deployment or responding to rapid growth.
  • Steep learning curve during initial onboarding means HR teams require meaningful investment in training before reaching productivity.

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 CatalystOne objects map to Crelate

Each row shows how a CatalystOne 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.

CatalystOne

Contact (Crelate candidate record)

maps to

Crelate

Person

1:1
Fully supported

Crelate Contacts are the primary candidate record and map directly to CatalystOne Persons. We use email address as the dedupe key. Standard fields — FirstName, LastName, Email, Phone, Title, City, State, Country — map to equivalent Person attributes. The original Crelate Contact ID is stored in a custom field (e.g., crelate_contact_id__c) for cross-reference and reconciliation after cutover. Crelate's Candidate notes (boolean flag on Contact) maps to an active_candidate__c custom field on Person.

CatalystOne

Company

maps to

Crelate

Organisation / Department

1:1
Fully supported

Crelate Company records map to CatalystOne Organisations. Company Name becomes the Organisation name; website becomes Organisation URL; industry maps to an industry picklist if configured in CatalystOne. Crelate's Company-level contacts are linked to the Organisation. If the customer uses Crelate's division or office structure, we map those to CatalystOne Departments and preserve the hierarchy as a separate mapping pass before Person import.

CatalystOne

Job (Crelate)

maps to

Crelate

Position

1:1
Fully supported

Crelate Job postings map to CatalystOne Positions. Job Name becomes Position title; department and office assignments on the Job map to the Position's department and hierarchy fields. Crelate's job status (open, filled, cancelled) maps to an active_position flag in CatalystOne. We preserve the Crelate Job ID in a custom field on the Position for post-migration reconciliation. Positions created from filled jobs carry a filled_by reference to the Person record who was placed.

CatalystOne

Submission / Application

maps to

Crelate

Candidate Activity / Engagement Note

1:many
Fully supported

Crelate Submission records (a candidate applied to a job) have no direct CatalystOne equivalent because CatalystOne does not model a recruiting pipeline natively. We collapse submission history into Activity records attached to the Person, with the Activity type set to 'Application' and fields for original_job_title, submission_date, submission_status, and source_channel. This preserves the application timeline without forcing submission records into objects they do not fit.

CatalystOne

Activity: Email, Call, Meeting, Note

maps to

Crelate

Activity

1:1
Fully supported

Crelate engagement records — email, call, meeting, note — map to CatalystOne Activity records. Activity type maps to the CatalystOne activity category; body/content maps to activity notes; date and time are preserved. We resolve the parent Person record by email lookup so each activity attaches to the correct employee record. Call duration and disposition migrate to custom activity fields where CatalystOne supports them.

CatalystOne

Task

maps to

Crelate

Activity

1:1
Fully supported

Crelate Tasks map to CatalystOne Activity records with type set to 'Task'. Task status (open, completed), priority, due date, and assigned user migrate directly. We resolve the assigned user by email match against the Crelate user table and hold unresolved assignments in a reconciliation queue for the customer's admin to map before production import.

CatalystOne

Tag (Crelate tagging system)

maps to

Crelate

Custom Picklist Field

lossy
Fully supported

Crelate's tag system (key-value pairs across default and custom tag categories) maps to CatalystOne custom picklist fields or text fields depending on whether the customer wants controlled vocabularies or free-form entry. We document the full set of Crelate tag categories during discovery and create equivalent picklist options in CatalystOne during schema configuration before data load. Tags used for candidate sourcing or skill identification are mapped first to ensure they are available as filterable fields in the destination.

CatalystOne

Custom Field (Contact-level)

maps to

Crelate

Custom Field on Person

1:1
Fully supported

Crelate's custom Contact fields (Short Answer, Long Answer, Date, Numeric, Picklist, Monetary, Rating) map to equivalent custom fields on the CatalystOne Person object. We create the target custom fields in CatalystOne during the schema configuration phase before any Person data loads. Field types are matched directly where possible; Crelate rating scales (1-5 stars) map to numeric or picklist fields in CatalystOne depending on the customer's preferred display format.

CatalystOne

Custom Field (Company-level)

maps to

Crelate

Custom Field on Organisation

1:1
Fully supported

Crelate Company custom fields map to custom fields on the CatalystOne Organisation object. We follow the same pre-migration schema creation approach used for Person custom fields, ensuring all target fields exist and are configured (required vs optional, picklist options, validation rules) before the Company import phase begins.

CatalystOne

Document / Attachment

maps to

Crelate

Document (Employee File)

1:1
Fully supported

Crelate file attachments (resumes, cover letters, certifications) are exported as binary files with metadata (type, date uploaded, original filename). We attach these to the corresponding Person record in CatalystOne as employee documents with type classification. Resume files are mapped to the 'CV / Resume' document type; other file types are classified by extension and review against the customer's document type configuration. Binary files larger than 25 MB are flagged for alternative delivery because Crelate's import tools have file size constraints.

CatalystOne

Opportunity (Crelate placement tracking)

maps to

Crelate

Succession Plan / Position Note

lossy
Fully supported

Crelate Opportunities track placement fees, client companies, and deal status. CatalystOne does not have a placement or deal-tracking object — its equivalent is the Succession Plan (position-to-candidate mapping with readiness rating). We handle this gap in two ways depending on the customer's need: if the goal is to preserve placement history, we create Succession Plan records linking the placed Person to the Position with the original fee as a custom note field; if placement records are purely commercial and not needed in the HCM, we document them in a delivered CSV for the customer's admin to retain externally.

CatalystOne

Custom Object

maps to

Crelate

Custom Object

1:1
Fully supported

Crelate custom objects map to equivalent custom objects in CatalystOne. We pre-create the destination custom object schema, including all custom fields, lookup relationships to Person, Organisation, or Position, and validation rules, during the schema configuration phase. Lookup references are resolved at migration time using the dedupe key strategy (email for Person lookups, company name for Organisation lookups). If the destination custom object has required fields that cannot be populated from Crelate data, we set sensible defaults and flag the records for admin review post-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.

CatalystOne logo

CatalystOne gotchas

High

No public API documentation or schema reference

Medium

Workflow and automation rules are not API-accessible

Medium

No public pricing model requires sales engagement

Medium

Custom fields vary per customer and require schema discovery

Low

Managed integration services tie data flows to CatalystOne operations

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 public API documentation or schema reference on CatalystOne

    CatalystOne does not publish API documentation, endpoint specifications, or a canonical data schema. We cannot perform automated discovery of available objects, fields, or relationships without a customer-provided technical contact who grants access to the developer portal (developer.catalystone.com). We request API key access and a technical walkthrough during scoping to enumerate the exportable surface before designing the target schema for Crelate. This pre-migration step adds time to discovery and must be completed before any data extraction begins.

  • Workflow and automation rules are not API-accessible on CatalystOne

    Approval workflows, automated triggers, and HR process rules configured within CatalystOne live inside the application and are not exposed via the API. We export the data that feeds into these workflows (Person records, review cycles, position assignments) but the workflow logic itself must be rebuilt in Crelate or reconfigured manually. Crelate's own workflow automation and sequencing tools are available on Business Plus and Enterprise tiers. We document the active CatalystOne workflow configurations during discovery so the customer's admin can plan the Crelate rebuild.

  • ATS data model does not map cleanly to HCM employment model

    Crelate's Contact is a candidate-centric record with fields for source, tags, and pipeline stage; CatalystOne's Person is an employment-centric record with fields for organisational assignment, manager, start date, and employment status. Application history and submission records have no direct CatalystOne equivalent — we collapse these into Activity notes rather than creating orphaned records. Opportunities (placement tracking) similarly require either a Succession Plan mapping or external CSV retention. We handle this gap during mapping design and document it in the migration scope before production import.

  • Custom fields vary per customer and require schema discovery

    Both platforms allow extensive custom fields on core objects. Crelate custom fields are documented in the public help centre with field types and logical names. CatalystOne custom fields are not publicly documented — we run a pre-migration schema discovery pass against the specific customer's tenant to enumerate all active fields before designing the target schema. Any picklist values in Crelate must be recreated as picklist options in CatalystOne, which is a manual configuration step before data load.

  • Crelate lookup fields require parent-record resolution before import

    Crelate's API represents lookups (e.g., a Contact's associated Company) as three properties: *_Id (the record ID), *_FirstName, and *_LastName. When importing to CatalystOne, we resolve these references using the dedupe key (email for Person lookups, company name for Organisation lookups) and hold any unresolved references in a reconciliation queue. Migration cannot proceed past the Person and Organisation import phases until all parent-record references are satisfied.

Migration approach

Six steps for a successful CatalystOne to Crelate data migration

  1. Discovery and schema enumeration

    We audit the source Crelate account across standard and custom Contact fields, Company fields, Job postings, tag categories, engagement types, custom objects, and document volumes. We pair this with a CatalystOne schema discovery pass: using the API access granted by the customer's technical contact, we enumerate all active Person, Organisation, and Position fields, their types, and any picklist values already configured. The discovery output is a written migration scope document listing all objects to migrate, the field-level mapping, and a list of fields that have no equivalent in the destination and require a disposition decision from the customer.

  2. Schema design and field mapping specification

    We design the target schema in Crelate for each source object. This includes creating custom fields on Person (matching Crelate's Contact custom field types), creating Organisation custom fields, configuring tag-category picklists, and mapping Opportunity and Submission records to their disposition approach (Succession Plan creation or CSV export). The mapping specification is reviewed with the customer before any data extraction or schema creation begins. We also document the CatalystOne workflow inventory at this stage for the customer's admin to use in Crelate rebuild planning.

  3. Test migration and reconciliation

    We run a full test migration using a Crelate sandbox or a representative data sample into a Crelate test environment. The customer's recruiting lead reconciles record counts (Contacts in, Organisations in, Persons in), spot-checks 25-50 random records against the CatalystOne source, and validates that custom fields, tags, and activities are populated correctly. Any mapping corrections — wrong field type, missing picklist option, incorrectly routed Submission record — are documented and applied to the production mapping before the production migration begins.

  4. Owner and user reconciliation

    We extract every distinct user referenced in Crelate activities, task assignments, and opportunity ownership. We match by email against the destination Crelate User table. Any CatalystOne user without a matching Crelate User record is held in a reconciliation queue for the customer's admin to provision before record import resumes. We also identify any inactive Crelate users referenced in historical records and set them to inactive status in the destination.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Organisations first (Crelate Company → CatalystOne Organisation), then Persons (Crelate Contact → CatalystOne Person with OrganisationId resolved), then Positions (Crelate Job → CatalystOne Position), then Activities (engagement history via Bulk API with parent-record resolution), then Submissions (as Activity notes on Person), then Documents (file export and re-attachment), then Custom Objects (with lookup resolution). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation rebuild handoff

    We freeze CatalystOne writes during cutover, run a final delta migration of any records modified during the migration window, then enable Crelate as the recruiting system of record. We deliver the CatalystOne workflow and automation inventory document to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's recruiting team. We do not rebuild CatalystOne workflows as Crelate automations inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

CatalystOne logo

CatalystOne

Source

Strengths

  • Full employee lifecycle management from hire to retire in a single platform.
  • Strong Scandinavian employment law and payroll integration coverage.
  • Managed integration services on Azure with proactive monitoring.
  • High customer satisfaction on support (reported 99% satisfaction).
  • Configurable task management and automation for HR workflows.

Weaknesses

  • Limited public API documentation makes third-party integration and data extraction work harder.
  • No publicly available pricing model — sales-driven quotation only.
  • Reporting tools are complex and require specialist knowledge to use effectively.
  • Customisation is constrained compared to enterprise HCM platforms.
  • Implementation typically takes 3–6 months, longer than many alternatives.
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 CatalystOne 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

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

  • Data volume sensitivity

    B

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

Estimator

Estimate your CatalystOne 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 CatalystOne to Crelate data migrations

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

Can't find your answer?

Walk through your CatalystOne to Crelate migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between four and six weeks for straightforward ATS data under 5,000 Contacts with standard fields, no custom objects, and no document migration. Migrations with extensive custom fields, picklist reconfiguration, document export and re-attachment, org hierarchy mapping, or large engagement histories (over 200,000 activity records) move to eight to fourteen weeks because of schema discovery time, picklist mapping, file handling, and parent-record resolution. The CatalystOne pre-migration schema discovery pass adds one to two weeks at the start of any engagement.

Adjacent paths

Related migrations to explore

Ready when you are

Move from CatalystOne.
Land in Crelate, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day