HRMS migration

Migrate from ZingHR to Crelate

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

ZingHR logo

ZingHR

Source

Crelate

Destination

Crelate logo

Compatibility

67%

8 of 12

objects map 1:1 between ZingHR and Crelate.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from ZingHR to Crelate is a scoped recruitment-data migration, not a full HRMS replacement. ZingHR's Hire-to-ReHire module stores candidate pipelines, onboarding tasks, and recruitment activity as part of its broader employee lifecycle, while Crelate is a dedicated ATS that structures candidates as Contacts, hiring companies as Companies, and open roles as Jobs. We extract active candidate records, job postings, and recruiting activity from ZingHR, transform them into Crelate's Contact, Company, and Job schema, and handle the lookup resolution between candidate records and their associated company. Crelate's API authentication uses a querystring API key with specific field-type constraints, so we validate field types before every insert and flag any records missing required attributes. We do not migrate ZingHR payroll, attendance, leave balances, or performance reviews because those are HRMS data with no Crelate equivalent. We deliver a written inventory of ZingHR custom employee attributes for your admin to re-create as Crelate custom fields post-migration.

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

ZingHR logo

ZingHR

What's pushing teams away

  • Frequent performance issues including slow page loads, login timeouts, and sluggish navigation frustrate daily users and reduce productivity across HR and employee self-service.
  • Integration challenges with third-party tools create data silos, particularly when ZingHR must sync with existing ERP or finance systems that enterprises already rely on.
  • Customer support response times are reported as slow, with users noting difficulty getting timely assistance when configuration issues arise.
  • Setup complexity requires significant configuration effort to align the platform with company-specific structures, policies, and approval hierarchies.

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 ZingHR objects map to Crelate

Each row shows how a ZingHR 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.

ZingHR

Employee (Recruitment module)

maps to

Crelate

Contact

1:1
Fully supported

ZingHR employees in the Talent Acquisition module (candidates, applicants, and hire-stage records) map to Crelate Contact records. The ZingHR employee name, email, phone, and address fields map to Crelate's corresponding Contact fields. We distinguish between external candidates (new applicants) and internal candidates (existing employees applying for new roles) by evaluating the ZingHR EmployeeType and source fields. Internal candidates are flagged with a custom Crelate field internal_candidate__c for recruiter filtering. If ZingHR stores recruiting stage as a custom property, we map it to Crelate's tag-based pipeline stage.

ZingHR

Employee.Department

maps to

Crelate

Company

1:1
Fully supported

ZingHR's department and cost-center structure does not map directly to Crelate Company records because Crelate Company represents a client organization in the recruiting context, not an internal department. For organizations using ZingHR to track client-candidate relationships (staffing agencies), we extract the ZingHR department name associated with each candidate as a reference string and create or match it against a Crelate Company record. For corporate HR teams migrating internal recruitment, the department is stored as a custom Contact field department__c rather than a Company lookup.

ZingHR

Recruitment.JobPosting

maps to

Crelate

Job

1:1
Fully supported

Active job postings in ZingHR map to Crelate Job records. The ZingHR job title, job code, job description, and location map to Crelate Job.Name, Job.Title, Job.Description, and Job.Location. We extract the ZingHR job status (open, closed, on-hold) and map it to Crelate Job.IsActive. Positions without a defined location in ZingHR receive a location value of TBD and are flagged for the recruiter to complete in Crelate before publishing.

ZingHR

Recruitment.PipelineStage

maps to

Crelate

Pipeline Stage (tag or status)

lossy
Fully supported

ZingHR's recruitment pipeline stages (Applied, Screening, Interview, Offer, Hired, Rejected) map to Crelate pipeline stages. Crelate uses a tag-based pipeline model rather than a fixed stage field. We create tag categories in Crelate matching the ZingHR stage names and assign the appropriate tag to each Contact record during migration. The customer selects the pipeline template (Standard, Technical, Executive, or custom) during scoping.

ZingHR

Recruitment.OnboardingTask

maps to

Crelate

Task

1:many
Fully supported

ZingHR onboarding tasks and checklists attached to a candidate map to Crelate Task records linked to the Contact. Each ZingHR onboarding task item becomes a Task with Body set to the task name, Status set to Open (or Completed if ZingHR marks it done), and ActivityDate set to the due date from ZingHR. Parent-record resolution links each Task to the migrated Contact ID in Crelate. Tasks without a due date receive a placeholder date and are flagged in the reconciliation report.

ZingHR

Recruitment.Activity

maps to

Crelate

Activity (Note, Task, or Event)

1:1
Fully supported

ZingHR recruitment activities including interview schedules, recruiter notes, and communication logs map to Crelate Activity records. Interview events map to Crelate Event with StartDateTime and Location. Recruiter notes and call logs map to Crelate Note or Task depending on whether a follow-up action is attached. We preserve the original ZingHR activity timestamp as Crelate's ActivityDate for timeline ordering. Communication-type activities from ZingHR map to Crelate Note attached to the Contact.

ZingHR

Custom Fields (Attribute Master API)

maps to

Crelate

Custom Fields (Contacts, Companies, Jobs)

lossy
Fully supported

ZingHR's Attribute Master API exposes company-specific custom fields on employee records. We enumerate all custom attributes during scoping, map them to Crelate custom fields on the appropriate entity (Contacts, Companies, or Jobs), and handle Crelate field-type validation. Crelate requires that date fields cannot map to monetary fields; we validate type compatibility during the transform phase. The customer's admin confirms custom field creation in Crelate before migration so that target field IDs are available for the import.

ZingHR

Employee.Tags or Category

maps to

Crelate

Tag (Default category or custom category)

lossy
Fully supported

ZingHR custom categories and tags on employee records (e.g., skill tags, source tags, clearance levels) map to Crelate Tags. The default tag category in Crelate is referenced with the key Default, and custom tag categories are created to match ZingHR's category names. Tags are stored as a tags object in Crelate's API with keys corresponding to category names and values as arrays of tag strings. We enumerate tag values during scoping and resolve them against Crelate's tag catalog during import.

ZingHR

Employee.Manager

maps to

Crelate

Contact (hiring manager lookup)

1:1
Fully supported

ZingHR manager-employee associations on recruiting records (e.g., hiring manager on a job posting or recruiter assigned to a candidate) map to Crelate Contact records with a custom field hiring_manager__c holding the manager's name. Crelate's Contact object does not have a native manager lookup, so we use a custom Contact field rather than a native relationship. The customer's admin creates this field in Crelate before migration.

ZingHR

Document (offer letter, ID proof)

maps to

Crelate

ContentDocument or Note attachment

1:1
Fully supported

ZingHR employee documents (offer letters, ID proofs, experience letters) attached to candidate records in the Talent Acquisition module map to Crelate file attachments on the corresponding Contact record. We download documents from ZingHR's ESS export, store them with the migration artefacts, and attach them to the migrated Crelate Contact via ContentDocumentLink. File type preservation (PDF, DOCX, image) is maintained. If a document has no associated candidate in ZingHR, it is held in a documents-only queue for manual assignment.

ZingHR

Recruitment.CandidateSource

maps to

Crelate

Custom Field or Tag (source tracking)

1:1
Fully supported

ZingHR tracks candidate source (referral, job board, direct apply, agency) as a custom attribute. We map this to a Crelate custom field candidate_source__c on Contact or to a tag category called Source with individual tags for each source value. The customer chooses the strategy during scoping based on whether they plan to filter candidates by source in Crelate's search and reporting.

ZingHR

Employee (full HRMS record)

maps to

Crelate

Not migrated to Crelate

1:1
Fully supported

ZingHR employee records containing payroll history, attendance data, leave balances, performance reviews, and e-Separation data do not have a Crelate equivalent and are not migrated. Crelate is an ATS without payroll, attendance, or HRMS capabilities. We flag these record types during scoping and exclude them from the migration scope. The customer's ZingHR instance continues to operate as the HRMS of record for payroll, attendance, and compliance. If the customer requires a separate HRMS alongside Crelate, we can scope a parallel migration from ZingHR to a destination like BambooHR, Workday, or SAP SuccessFactors as a separate engagement.

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.

ZingHR logo

ZingHR gotchas

Medium

Maker-Checker workflow creates pending approval states

Medium

Reports module limits current data export to 3 months

Low

Compensatory off balances may not auto-refresh

Medium

API authentication requires valid token and subscription name

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

  • ZingHR's Reports module caps current data at 3 months

    ZingHR's standard Reports module returns only the last 3 months of data in the Current Data view, with historic data available separately up to 60 months. We always request the Historic data export for full-scope recruiting migrations to ensure candidate records, activity history, and job postings are not silently truncated at the quarter boundary. If ZingHR has purged recruiting records older than 60 months, those records cannot be recovered and are flagged as data-loss items in the migration scope.

  • Maker-Checker approval states do not auto-commit to Crelate

    ZingHR uses a Maker-Checker (dual-approval) workflow for bulk operations including manager changes and certain recruitment status updates. Records in a pending-approval state in ZingHR are not committed records and will not have a corresponding Crelate record until the approval is completed. We identify all pending Maker-Checker records during scoping and flag them so the customer's ZingHR admin either completes the approvals before cutover or re-creates the resulting records in Crelate as new tasks.

  • Crelate requires specific field types; mismatches cause 500 errors

    Crelate's API validates field types on save: a date field cannot be mapped from a monetary source value, and a text field cannot accept a numeric value without explicit casting. We validate field type compatibility during the transform phase and flag any ZingHR custom attribute that maps to a mismatched Crelate field type. Crelate's required attributes (Company requires Name, Job requires Name, Note requires Body, Task requires Body) are checked before every insert, and records missing required attributes are held in a correction queue rather than silently rejected.

  • ZingHR token-based API auth may expire mid-extraction

    ZingHR's Attribute Master API uses a token plus SubscriptionName for authentication, where tokens are account-scoped and may rotate. We request fresh API credentials during migration kickoff and implement token-refresh handling in our extraction pipeline to avoid silent authentication failures mid-migration. If ZingHR enforces IP-restricted tokens, we coordinate with the customer to whitelist FlitStack AI's extraction IPs before extraction begins.

  • Crelate's ATS scope means full HRMS data has no destination

    Crelate is a dedicated ATS with no payroll, attendance, leave management, or performance review modules. Organizations migrating from ZingHR to Crelate are typically separating their ATS from their HRMS. We explicitly scope out payroll history, attendance records, leave balances, performance reviews, and e-Separation data from the migration because there is no Crelate equivalent. If the customer's ZingHR contract includes the full HCM suite and they intend to keep ZingHR for HRMS functions, we document the recruiting data scope clearly. If they intend to replace ZingHR entirely, we recommend a parallel engagement to a full HRMS destination.

Migration approach

Six steps for a successful ZingHR to Crelate data migration

  1. Recruitment data scoping and ZingHR module isolation

    We audit the ZingHR instance to isolate Talent Acquisition module data from HRMS data. This includes enumerating candidate records, active and closed job postings, recruitment pipeline stages, onboarding tasks, activity logs, and custom attributes exposed via the Attribute Master API. We request the Historic data export (not the Current Data 3-month view) to ensure full recruiting history. We also identify Maker-Checker records in pending states and flag any records older than 60 months that may have been purged from ZingHR. The scoping output is a written data inventory and migration scope document that explicitly excludes payroll, attendance, leave, and performance data.

  2. Crelate schema preparation and custom field creation

    We review the customer's Crelate instance and create the required custom fields, tag categories, and pipeline templates before any data arrives. This includes creating candidate_source__c, internal_candidate__c, and hiring_manager__c custom fields on Contact; creating Source and Pipeline tag categories; and configuring the pipeline template (Standard, Technical, or custom) that matches the ZingHR recruiting workflow. Crelate's API requires a Logical Name for each custom field; we document the API-accessible field names for use in the migration pipeline. The customer's Crelate admin confirms field creation and provides the API key during this phase.

  3. ZingHR data extraction with API token management

    We extract candidate records, job postings, onboarding tasks, and activity history from ZingHR using their Attribute Master API and Reports module. We use the Historic data export to avoid the 3-month truncation. Our extraction pipeline implements token-refresh handling to work around ZingHR token expiration mid-extraction. We chunk large candidate populations (over 5,000 records) to work around reported performance bottlenecks and to stay within any ZingHR API rate limits. Documents are downloaded separately and stored with migration artefacts, keyed by ZingHR employee ID for later linking.

  4. Transform, field-type validation, and Crelate field mapping

    We transform ZingHR records into Crelate's Contact, Company, Job, Task, Note, and Event schema. Field-type validation runs as a pre-flight check: if a ZingHR date field is empty, we substitute a placeholder; if a ZingHR text field contains a value that Crelate expects as a picklist, we validate against the picklist values or fall back to text. Candidate records are split into Contact (external) and flagged Contact (internal hire) based on the ZingHR EmployeeType field. Tag values from ZingHR are resolved against the Crelate tag catalog. Records missing Crelate-required attributes (Name on Company, Name on Job, Body on Note) are held in a correction queue with the specific missing field identified.

  5. Sandbox staging migration and reconciliation

    We load transformed data into the customer's Crelate sandbox or a test environment. The customer's recruiting lead reviews a sample of migrated contacts, jobs, and activities against the ZingHR source. We reconcile record counts: contacts in, companies in, jobs in, tasks in, notes in. The reconciliation report highlights any records held in the correction queue (missing required attributes, type mismatches, unlinked documents). The customer resolves corrections in ZingHR or provides override values for the correction queue. No production migration begins until the sandbox sign-off is received.

  6. Production cutover, delta sync, and handoff documentation

    We freeze writes to ZingHR during the cutover window, run a final delta migration of any records modified during the migration window, then enable Crelate as the ATS of record. All documents are attached to the migrated Crelate contacts via ContentDocumentLink. We deliver a written inventory of ZingHR custom attributes that could not be mapped to Crelate fields, with a recommendation for which attributes to re-create as Crelate custom fields. We do not rebuild ZingHR recruiting workflows or onboarding automation; those are documented for the customer's admin to reconfigure in Crelate's workflow builder. We support a one-week hypercare window for reconciliation issues raised by the recruiting team.

Platform deep dives

Context on both ends of the pair

ZingHR logo

ZingHR

Source

Strengths

  • Covers the full Hire-to-ReHire employee lifecycle from onboarding through e-Separation in a single platform.
  • Mobile-first ESS portal gives employees direct access to payslips, leave requests, and personal data updates.
  • AI features including Zingbot conversational assistant and Zing Lens document processing are embedded natively.
  • Report module separates current data (3 months) from historic data (5 years) for compliance-ready payroll and attendance archives.

Weaknesses

  • Performance issues including slow loading and login timeouts are cited across multiple G2 and Capterra reviews.
  • Integration with third-party ERPs and finance tools is reported as challenging, limiting data flow for enterprises with complex IT stacks.
  • Customer support response times are flagged as slow, with configuration issues often requiring extended back-and-forth.
  • Setup requires significant custom configuration to align ZingHR with company-specific policies and approval workflows.
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 ZingHR 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

    ZingHR: Not publicly documented in available API documentation.

  • Data volume sensitivity

    B

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

Estimator

Estimate your ZingHR 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 ZingHR to Crelate data migrations

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

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Migrations land between two and three weeks for accounts under 5,000 candidate records and 200 job postings with no complex custom field dependencies. Migrations with large recruiting histories (over 50,000 activity records), multiple custom attribute sets, or dual-record-type candidate populations (internal hire candidates plus external applicants) move to five to eight weeks because of ZingHR report-module pagination, custom field enumeration, and Crelate field-type validation. Crelate's own Standard and Advanced migration tiers run in parallel with FlitStack AI's scope and do not extend the timeline unless they depend on schema decisions we make during discovery.

Adjacent paths

Related migrations to explore

Ready when you are

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