HRMS migration

Migrate from Avature to Crelate

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

Avature logo

Avature

Source

Crelate

Destination

Crelate logo

Compatibility

69%

9 of 13

objects map 1:1 between Avature and Crelate.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Avature to Crelate means transitioning from an enterprise ATS-CRM built for large organizations with complex configurations to a recruiting platform targeting SMB and mid-market teams with faster setup and transparent per-seat pricing. Avature's Person-as-unified-object model maps to Crelate Contacts, Avature Companies map to Crelate Companies, and Avature Jobs map to Crelate Jobs with candidate associations preserved as Crelate submissions. The primary technical challenge is Avature's lack of a self-service full export; we run targeted CSV exports per object type and stitch them in our migration workspace before loading. Avature's unlimited custom fields, record tables, and datasets require enumeration, mapping, and schema pre-creation in Crelate before any data moves. Workflows, job templates, and datasets with conditional logic do not migrate as configuration; we deliver a written inventory of these for the customer's admin to rebuild 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

Avature logo

Avature

What's pushing teams away

  • Export and reporting limitations frustrate administrators—column caps on custom reports and per-user export restrictions block efficient data extraction.
  • Implementation wait times of three or more months for new integrations or custom configurations delay urgent talent initiatives.
  • Steep configuration requirements mean the platform demands skilled HRIS admins; less technical teams struggle without partner support.
  • Licensing costs in the $100K–$400K+ annual range push smaller enterprises toward lower-overhead alternatives.

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 Avature objects map to Crelate

Each row shows how a Avature 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.

Avature

Person records

maps to

Crelate

Contact

1:1
Fully supported

Avature Person records (the core object for both candidates and employees) map to Crelate Contact records. Built-in fields including name, work phone, email, and address transfer directly. Custom fields on Person require enumeration against Avature's internal field names before mapping to Crelate's custom Contact fields. Record table rows (employment history, education, certifications) attached to Person records flatten into normalized child records linked to the Contact parent via Crelate's relationship model.

Avature

Company records

maps to

Crelate

Company

1:1
Fully supported

Avature Company records map to Crelate Company records. The company name becomes the Company Name field, and any domain or web presence data transfers to the website field. Avature Person-Company associations migrate as Crelate Contact-Company relationship records. All active custom fields on Company are enumerated and pre-created in Crelate before Company import begins.

Avature

Job requisitions

maps to

Crelate

Job

1:1
Fully supported

Avature Job records (position, status, department, location, workflow stage) map to Crelate Job records. Candidate-job associations migrate as Crelate submission or candidate-to-job link records, preserving the original Avature candidate-to-job linkage and workflow stage at time of association. Job templates do not migrate as templates; we document the template structure for the customer's admin to rebuild as Crelate Jobs.

Avature

Workflows

maps to

Crelate

Not migrated as code

lossy
Mapping required

Avature workflows are configurable sequences with conditional logic, delays, and multi-step actions that have no direct Crelate equivalent. We do not migrate workflow definitions. We deliver a written inventory of every active Avature workflow with its trigger conditions, steps, and action types for the customer's admin to configure in Crelate's workflow builder post-migration.

Avature

Record tables

maps to

Crelate

Child records (linked to Contact or Company)

1:many
Fully supported

Avature record tables (multi-row nested structures attached to Person records, such as employment history, education, certifications, and skills) flatten into normalized child records during migration. Each row becomes a separate record linked to the parent Contact via a relationship field. We preserve the parent-child ordering and row sequence from Avature as a sort field in Crelate.

Avature

Custom fields (Person and Company)

maps to

Crelate

Custom fields on Contact and Company

lossy
Fully supported

Avature custom fields on Person and Company are enumerated against the External Import Services CSV schema using internal field names during the discovery phase. We create matching custom fields in Crelate with corresponding logical names before import begins. Custom field types (text, number, date, checkbox, picklist) are mapped to Crelate field types. Any picklist-style custom fields require value set mapping between Avature enumerated values and Crelate options.

Avature

Datasets

maps to

Crelate

Reference data or lookup objects

lossy
Mapping required

Avature datasets store bulk reference data used by workflows and forms, with structures varying by implementation. We extract dataset records and map them to Crelate reference data objects, custom lookup tables, or static lists depending on how the data is used. Complex datasets with conditional logic may require redesign in Crelate; we document the dataset structure and recommend a Crelate-native approach.

Avature

Pipeline stages

maps to

Crelate

Job stages

1:1
Mapping required

Avature pipeline stages (customizable statuses within job workflows) map to Crelate Job stages. We preserve the stage order, stage names, and any automation triggers or required fields attached to each stage. Stage probability values migrate where available.

Avature

File attachments (URL-based)

maps to

Crelate

Documents or file attachments on Contact/Company

1:1
Fully supported

Avature URL-based attachments migrate cleanly to Crelate document attachments linked to the corresponding Contact, Company, or Job record. Base64-encoded attachments require decoding, re-encoding, and re-upload to Crelate's document store. We flag any attachment that cannot be resolved as a valid URL during the enumeration pass.

Avature

Candidate tags and segments

maps to

Crelate

Tags and talent pools

1:1
Mapping required

Avature candidate tags migrate as flat label fields in Crelate's tag system. Talent pool memberships migrate to Crelate talent pools or static candidate lists depending on whether the source pool was static or dynamic. Pool membership criteria for dynamic pools cannot migrate as logic; we document the criteria for admin review.

Avature

Hiring manager portal data

maps to

Crelate

Activity history on Contact

1:1
Mapping required

Notes, ratings, and interview feedback submitted through Avature's hiring manager portal are stored as activity records. We extract these entries and migrate them as comment or activity history entries associated with the correct Contact record. The original submission timestamp and submitting user are preserved as activity metadata.

Avature

User accounts

maps to

Crelate

User accounts (mapping only)

1:1
Mapping required

Avature user accounts representing recruiters, hiring managers, and admins with role-based permissions are enumerated for mapping purposes. Crelate uses a different permission model. We deliver a role mapping table showing each Avature role and its recommended Crelate equivalent; the customer's Crelate admin provisions user accounts and assigns roles post-migration.

Avature

Onboarding records

maps to

Crelate

Task records and document links on Contact

1:1
Mapping required

Avature onboarding module tracks new hire setup tasks and document collection. Onboarding data models differ significantly between platforms. We migrate task status and link documents to the employee Contact record. The onboarding workflow itself does not migrate; we deliver a written description of the Avature onboarding sequence for the customer's admin to re-implement in Crelate's task management or through a dedicated onboarding tool.

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.

Avature logo

Avature gotchas

High

No self-service full data export exists

Medium

Custom field enumeration requires manual discovery

Medium

Implementation wait times block rapid migrations

High

Enterprise pricing is opaque and requires contract negotiation

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

  • Avature has no self-service full data export

    Avature does not publish a bulk export endpoint or UI function that covers all objects simultaneously. Data lives across Person records, Company records, Job records, Datasets, and custom tables with no unified export mechanism. We work around this by configuring multiple targeted CSV exports per object type and stitching them together in our migration workspace before loading to Crelate. This step adds discovery time and requires Avature admin access to configure each export individually.

  • Custom field enumeration requires manual discovery

    Avature allows unlimited custom fields on Person and Company objects, but the External Import Services CSV schema references fields by internal names that are not visible in the standard UI. We run a field enumeration pass against the target Avature instance to capture all active custom fields, custom form fields, and record table column names before building the import mapping. Skipping this step causes silent field drops on import into Crelate.

  • Implementation wait times block rapid migration start

    Organizations leaving Avature often still rely on the platform during the transition period. Avature's professional services queue for configuration changes has a documented minimum 3-month wait, and any new configuration requests on the source instance may not be feasible during an exit. We scope migrations to run read-only exports using existing API endpoints so we do not trigger configuration dependencies on Avature's implementation team.

  • Record tables require flattening before migration

    Avature's multi-row record tables attached to Person records (employment history, education, certifications) have no direct equivalent in Crelate's schema. We flatten these into normalized child records linked to the Contact parent, preserving each row's data and its parent relationship. Complex nested record tables with conditional visibility rules require redesign; we document the structure and flag records with conditional dependencies for the customer's admin to validate post-migration.

Migration approach

Six steps for a successful Avature to Crelate data migration

  1. Discovery and custom field enumeration

    We run a field enumeration pass against the source Avature instance to capture all active custom fields, custom form fields, record table column names, and dataset structures before building any mapping. We audit Person records, Company records, Job records, record tables, datasets, job templates, pipeline stages, and active workflows to determine total migration scope. This step produces a written migration scope covering object counts, custom field inventory, dataset list, and record table inventory.

  2. Crelate schema design and pre-creation

    We design the destination schema in Crelate by mapping all Avature Person fields to Crelate Contact fields, Avature Company fields to Crelate Company fields, and Avature Job fields to Crelate Job fields. We pre-create every custom field in Crelate with matching logical names and appropriate field types. We configure Job stages to match Avature's pipeline stage names and order, and we design the record table flattening schema that transforms nested Avature rows into Crelate child records with parent links.

  3. Test migration and mapping validation

    We run a test migration using a representative subset of Person records with all custom field values, record table rows, and a sample of Job and Company associations. We validate field-level mapping completeness, verify Company links resolve correctly on Contact records, confirm Job associations map to Crelate submissions, and check activity history completeness in a Crelate staging environment. The customer's recruiting lead reviews the output and signs off before production migration begins.

  4. Production migration in dependency order

    We run production migration in record-dependency order: Companies first to satisfy lookup references, then Persons with CompanyId resolved from the Company import, followed by Jobs with candidate associations mapped to Crelate submission records, record tables flattened into child records, datasets mapped to reference data or custom objects, and activity history (portal notes, feedback, ratings) migrated as activity entries linked to the Contact. Each phase emits a row-count reconciliation report before the next phase begins.

  5. Cutover, delta migration, and reconciliation

    We freeze Avature 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 validate final record counts against the source Avature totals, spot-check 25-50 migrated records for field-level accuracy, and resolve any orphaned records (Contacts without a resolved Company link, Jobs without candidate associations) in a reconciliation pass.

  6. Workflow handoff and post-migration documentation

    We deliver a written inventory of Avature workflows, job templates, datasets with conditional logic, and onboarding sequences that require manual rebuild in Crelate. We provide a custom field mapping reference showing every Avature field and its Crelate equivalent including any transformation logic applied during migration. We support a one-week hypercare window where we resolve any data quality issues raised by the customer's recruiting team. We do not rebuild Avature workflows, job templates, or dataset logic as Crelate configurations inside the migration scope.

Platform deep dives

Context on both ends of the pair

Avature logo

Avature

Source

Strengths

  • Combines ATS and CRM in one platform, eliminating separate systems for active and passive talent pipelines.
  • Highly configurable workflow engine supports complex, multi-step hiring processes with conditional logic.
  • Configurable candidate search supports both Boolean queries and semantic matching for resume parsing.
  • Hiring manager portal centralizes all candidate communication, notes, and feedback in one place.
  • Strong reporting on talent acquisition funnel metrics with department-level drill-down.

Weaknesses

  • No public pricing—every contract is custom, making budget planning difficult without a sales conversation.
  • Implementation projects commonly require $50K+ and multi-month timelines before go-live.
  • Export and reporting features have hard limits on column counts and record quantities per export run.
  • Advanced features require skilled HRIS administrators; less technical teams need ongoing partner support.
  • Data portability is limited—no standard self-service export covers all objects at once.
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 Avature 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

    Avature: Not publicly documented; enterprise contracts define limits per organization.

  • Data volume sensitivity

    A

    Avature exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Avature 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 Avature to Crelate data migrations

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

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Straightforward migrations under 5,000 Person records with standard fields and no record tables typically complete in two to four weeks. Migrations with extensive custom field schemas (30+ fields), multiple datasets, record tables requiring flattening, or organizations that need to run Avature and Crelate in parallel during the transition extend to six to ten weeks. Timeline also depends on Avature admin responsiveness for export configuration and Crelate admin availability for schema validation.

Adjacent paths

Related migrations to explore

Ready when you are

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