HRMS migration

Migrate from Nextal to Crelate

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

Nextal logo

Nextal

Source

Crelate

Destination

Crelate logo

Compatibility

83%

10 of 12

objects map 1:1 between Nextal and Crelate.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Nextal to Crelate is a structural migration that requires transforming Nextal's Kanban-centric pipeline model into Crelate's combined ATS-and-CRM data model. Nextal exports data module-by-module through CSV files from the UI, which means Candidate records, their associated Application history, and Pipeline Stage assignments must be extracted in coordinated passes and cross-referenced during import. We extract the Job schema first to establish Job IDs, then extract Candidates with their source attribution and resume attachments, resolve Application-to-Job linkages using Nextal's internal IDs, and map Pipeline Stage names to Crelate Job Status values using a customer-reviewed stage table. Crelate's API uses ID-based lookups for linking Contacts to Companies and Opportunities, which requires parent-record resolution before child-record inserts. Email templates stored in Nextal migrate as HTML blobs into Crelate's template library with language variants preserved. We do not migrate Nextal workflows, sourcing configurations, or Kanban board settings; these are documented in a written inventory for the customer's admin to rebuild in Crelate.

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

Nextal logo

Nextal

What's pushing teams away

  • Nextal does not publish an API per third-party listings — teams that need programmatic candidate sync to HRIS, payroll, or background-check vendors must rely on the small set of packaged integrations.
  • Public pricing is inconsistent ($49 and $79/user/month appear across reviewers) and the vendor does not publish a clear plan-feature matrix, slowing evaluation.
  • Custom workflow depth trails enterprise ATS platforms — teams running structured-interview frameworks (Greenhouse, Ashby) or full GDPR-driven candidate-data flows often outgrow Nextal.
  • Reporting and analytics are functional but not the platform's strongest surface; teams that need hiring-funnel attribution or DEI dashboards typically need supplemental BI work.
  • Vendor is small; community support and partner ecosystem are limited compared to Greenhouse, Workday Recruiting, or SuccessFactors Recruiting.

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 Nextal objects map to Crelate

Each row shows how a Nextal 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.

Nextal

Job

maps to

Crelate

Job

1:1
Fully supported

Nextal Job postings map to Crelate Job records with Name, description, department, location, and status preserved. Nextal Jobs can carry multilingual content which we store as separate custom text fields (e.g., description_fr, description_es) in Crelate if the destination org has multilingual requirements configured. Job status in Nextal (Active, Paused, Closed) maps to Crelate Job Status values. We extract Jobs first to establish the Job IDs used as foreign keys in the Application mapping phase.

Nextal

Candidate

maps to

Crelate

Contact

1:1
Fully supported

Nextal Candidate profiles map to Crelate Contact records. Name, email, phone, and address fields migrate directly. Resume attachments are downloaded from Nextal and uploaded to Crelate as document attachments on the Contact record. Source attribution (LinkedIn, Indeed, direct application) stored in a custom field in Nextal maps to Crelate's candidate source tracking. Candidate records are extracted before Applications so that Contact IDs are available for the Application-to-Contact linkage during import.

Nextal

Application

maps to

Crelate

Job

1:many
Fully supported

Nextal Applications link a Candidate to a Job and carry stage history. In Crelate, a Contact can be associated with a Job through a Job Submission (an activity-type record) or through a separate Opportunity record depending on the agency's workflow. We create Crelate Job Submissions linked to the Contact and the target Job record. Pipeline Stage assignments from Nextal are preserved as custom fields on the Job Submission. A single Candidate applying to multiple Jobs in Nextal results in multiple Job Submissions in Crelate.

Nextal

Pipeline Stage

maps to

Crelate

Job Status

lossy
Fully supported

Nextal's Kanban-style Pipeline Stages are configurable per organization. Stage names and ordering vary by team, requiring a customer-reviewed stage mapping table before migration. We extract the full stage list from Nextal, present it alongside Crelate's Job Status picklist values, and the customer determines the mapping. Stage probability percentages (if stored in Nextal) migrate to custom numeric fields on the Job Submission record. The mapping is validated in a test pass before production migration.

Nextal

User

maps to

Crelate

User

1:1
Fully supported

Nextal User accounts (recruiters, hiring managers, admins) migrate to Crelate User records with names, email addresses, and role assignments preserved. Passwords do not transfer; users receive Crelate setup emails upon provisioning. We match by email address. Any Nextal Owner referenced on a record without a corresponding Crelate User is held in a reconciliation queue for the customer's admin to provision before record import resumes.

Nextal

Custom Fields (Jobs)

maps to

Crelate

Custom Fields (Jobs)

1:1
Fully supported

Nextal custom fields on Job postings require field-level mapping. We extract the field schema (label, data type, picklist values), match by label and data type to Crelate custom fields on Job, and create any unmapped custom fields in Crelate before the Job import phase. Data types are reconciled: Nextal text fields map to Crelate Short/Long Answer, numeric fields to Crelate Number (Integer or Decimal), and picklist fields to Crelate Picklist.

Nextal

Custom Fields (Candidates)

maps to

Crelate

Custom Fields (Contacts)

1:1
Fully supported

Nextal custom fields on Candidate records map to Crelate custom fields on Contact records. We apply the same field schema extraction, type reconciliation, and pre-creation process used for Jobs. If Nextal stores candidate clearance levels or clearance expiration dates as custom fields, these map to Crelate custom fields on Contact with appropriate data types. The mapping is reviewed with the customer before migration to ensure picklist values align.

Nextal

Attachments

maps to

Crelate

Document

1:1
Mapping required

Resume and document attachments on Nextal Candidate records are downloaded, mapped by candidate email to the corresponding Crelate Contact, and uploaded as downloadable documents. File format is preserved; PDF and DOCX are the primary formats supported across both platforms. We log the original file name, upload date, and source (resume, cover letter, portfolio) as metadata. Attachment volume affects migration timeline and price when exceeding 10,000 files.

Nextal

Email Templates

maps to

Crelate

Email Templates

1:1
Mapping required

Nextal stores multilingual email templates tied to job stages as HTML blobs. We extract templates as HTML with any merge field syntax preserved as plain text notes. Each language variant is imported as a separate Crelate Email Template, tagged by language. Templates are reviewed in a Crelate test environment before production import. HTML rendering is validated across Crelate's email client compatibility settings.

Nextal

Company (if applicable)

maps to

Crelate

Company

1:1
Fully supported

If Nextal stores employer or client company records separately from Job postings (some agency configurations do), those map to Crelate Company records. Company Name, website, industry, and address fields migrate directly. The Company-to-Contact linkage is established through Crelate's Company lookup on the Contact record after both objects are imported.

Nextal

Engagement: Notes

maps to

Crelate

Activity (Note)

1:1
Fully supported

Nextal candidate notes and activity history migrate to Crelate Activity records linked to the Contact. Note body, timestamp, and author (User) migrate directly. We resolve the Nextal User reference to the corresponding Crelate User by email match. Activity ordering is preserved by setting the Activity date to the original Nextal timestamp.

Nextal

Engagement: Tasks

maps to

Crelate

Task

1:1
Fully supported

Recruiter tasks and follow-up items stored in Nextal migrate to Crelate Task records attached to the Contact or Job. Task status, priority, due date, and body text migrate directly. Assignment resolves the Nextal Owner to the Crelate User by email. Tasks without an assignable Crelate User are set to the migrating admin's account with a note to reassign.

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.

Nextal logo

Nextal gotchas

High

No public API blocks programmatic data flows

Medium

Integrations limited to HubSpot CRM, Outlook, and Gmail

Medium

Pricing tier features are not publicly documented

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

  • Nextal has no public API; migration relies on UI-based CSV exports

    Nextal does not publish API documentation or expose a REST or GraphQL endpoint for automated data extraction. All migration data must be exported through the Nextal UI as CSV files on a per-module basis (Jobs, Candidates, Applications). These exports do not include Nextal's internal record IDs, which means Application-to-Candidate and Application-to-Job linkages must be reconstructed by cross-referencing email addresses, candidate names, and job titles across multiple CSV files. We flag this as high severity because missing ID fields extend the extraction and reconciliation phases and can result in orphaned Applications if the cross-reference keys are not stable across export passes.

  • Nextal export timing and format constraints can delay discovery

    Some vendors make data exports difficult by requiring written requests, charging for database exports, or taking days to process export requests. Nextal's UI-based export requires manual navigation per module, and large datasets may time out in a single export pass. We recommend scheduling export sessions with Nextal's customer support before migration begins to confirm export capacity for databases exceeding 10,000 Candidate records. CSV encoding must be validated (UTF-8 vs Latin-1) before importing into Crelate, particularly if multilingual candidate data is present, to avoid character corruption in names and free-text fields.

  • Pipeline Stage names vary per Nextal organization and require manual mapping

    Nextal's Kanban pipeline stages are fully configurable per organization, with no standardized stage names across tenants. The same stage value (e.g., 'Phone Screen') may be named differently across teams. Crelate uses Job Status picklist values that are configurable but scoped to the organization's standard list. We generate a stage mapping table during discovery, present it to the customer's admin for review, and apply it in the transform phase. If the customer has multiple pipelines in Nextal (each with its own stage set), each pipeline's stage list must be mapped separately to Crelate Job Status values, which can require custom field creation in Crelate to preserve per-pipeline stage context.

  • Crelate API uses ID-based lookups requiring parent-record resolution

    Crelate's API resolves Contact-to-Company lookups and Activity-to-Contact lookups using record IDs rather than email or name matching at insert time. If the Contact's ID is not known at the time of Activity insert, the API creates a new Contact record with the provided name rather than linking to the existing one. We resolve all parent record IDs (Contact ID, Company ID, Job ID) before inserting child records (Activities, Job Submissions). This requires a two-phase import strategy: load parent records first, build the ID mapping table, then load child records with resolved IDs. Migrations that skip this step produce duplicate Contact records in Crelate.

  • Custom field schemas are not transferable as code between platforms

    Nextal custom fields are defined per organization through the UI, and Crelate custom fields are defined through Settings. There is no automated export-import bridge for custom field definitions. We extract the Nextal custom field schema (labels, types, picklist values) during discovery, present it to the customer for review, and pre-create the matching Crelate custom fields before any data import. Custom field data type mismatches (e.g., Nextal stores a value as text but the customer wants it as a picklist in Crelate) are resolved during the mapping review. Fields that cannot map directly are flagged and held from migration pending customer decision.

Migration approach

Six steps for a successful Nextal to Crelate data migration

  1. Discovery and export coordination

    We audit Nextal across all modules (Jobs, Candidates, Applications, Pipeline Stages, Users, Attachments, Email Templates) to estimate record counts and complexity. We identify any custom fields on Jobs and Candidates and extract the stage configuration from each Nextal pipeline. We coordinate with the Nextal customer to schedule CSV exports in stages, validating file size, encoding, and completeness per module. Any export failures or timeout issues are documented and escalated to Nextal support before proceeding. The discovery output is a written migration scope, record count estimate, and an export schedule.

  2. Schema design and Crelate custom field provisioning

    We design the destination schema in Crelate by pre-creating all required custom fields on Job, Contact, and Company objects, matching Nextal field labels and data types to Crelate field types. Pipeline Stage names are mapped to Crelate Job Status values using the customer-reviewed stage mapping table. We configure any additional picklist values needed in Crelate. Schema is validated in Crelate's test environment before production migration begins. Parent-child relationships (Company-to-Contact, Contact-to-Job Submission) are identified and the import order is locked.

  3. Data extraction and cross-reference reconstruction

    We extract CSV files from Nextal in dependency order: Jobs first (to capture Job IDs used as foreign keys), then Candidates (with resume attachments downloaded separately), then Applications. Since Nextal exports do not include internal record IDs, we reconstruct Application-to-Candidate linkages by cross-referencing candidate email and Application submission date, and Application-to-Job linkages by cross-referencing job title and submission date. We validate the cross-reference reconstruction by spot-checking 25-50 records against the Nextal UI before proceeding. Any records that cannot be linked are flagged for the customer's review.

  4. Test migration into Crelate staging environment

    We run a full migration into a Crelate test environment using production data volume. The customer's recruiting lead reconciles record counts across all objects, spot-checks 25-50 Candidate records against the Nextal source (name, email, resume attachment, stage history), and reviews the stage mapping results. Any field mapping corrections, stage mapping corrections, or duplicate Contact resolutions happen in this phase. The customer signs off on the test migration results before production migration begins.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Companies first (if applicable), then Contacts (with Company ID resolved), then Jobs, then Job Submissions (with Contact ID and Job ID resolved), then Activity history (Notes, Tasks via Crelate API with rate-limit handling), then Attachments (uploaded after Contact records are confirmed), then Email Templates. Each phase emits a row-count reconciliation report. The Crelate API rate limit of 60 requests per minute is respected with batch chunking and exponential backoff on 429 responses. We schedule migration passes outside of business hours to minimize disruption.

  6. Cutover, validation, and workflow rebuild handoff

    We freeze Nextal writes during cutover, run a final delta migration of any records modified during the migration window, then enable Crelate as the system of record. We deliver a written inventory of Nextal workflows, sourcing configurations, and Kanban board settings for the customer's admin to rebuild in Crelate's workflow builder. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's recruiting team. We do not rebuild Nextal 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

Nextal logo

Nextal

Source

Strengths

  • Kanban-style collaborative pipeline for tracking applications across stages
  • Built-in multilingual Career Portal with job posting distribution
  • LinkedIn and Indeed sourcing integration to pull candidates directly
  • Multilingual job and email templates with one-click communication
  • HubSpot CRM, Outlook, and Gmail integrations for connectivity

Weaknesses

  • No publicly documented API limits migration to CSV-based exports
  • Pricing is opaque — no published tiers or per-seat rates on the website
  • Custom fields and stage configurations vary per organization, requiring manual mapping
  • No bulk migration tooling; data must be exported module by module from the UI
  • Smaller market presence compared to enterprise ATS platforms like Greenhouse or Lever
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 Nextal 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

    Nextal: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Nextal 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 Nextal to Crelate data migrations

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

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Standard migrations land between two and four weeks for databases under 5,000 Candidates and 500 Jobs with a single pipeline structure. Migrations with multiple pipelines, multilingual candidate data, custom field schemas across Jobs and Candidates, or large attachment volumes (over 5,000 resume files) extend to six to ten weeks. The extraction phase from Nextal's CSV-based UI exports is the primary variable; large databases may require multiple export passes and reconciliation cycles that add time before the Crelate import phase begins.

Adjacent paths

Related migrations to explore

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