HRMS migration

Migrate from Manatal to Crelate

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

Manatal logo

Manatal

Source

Crelate

Destination

Crelate logo

Compatibility

83%

10 of 12

objects map 1:1 between Manatal and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Manatal to Crelate is a migration shaped by how Manatal gates its data access. The REST API is available only on Enterprise Plus at $55 per user per month; Professional and Enterprise accounts must activate CSV export through Manatal support before any data extraction begins. We handle both pathways, falling back to CSV/XLS extraction when the API is unavailable and processing the deduplication logic Manatal applies to Organizations by name. In Crelate, Candidates land as People records with custom fields preserved, Jobs become Crelate Jobs with pipeline stages mapped, and Organizations map to Crelate Clients. Activity history migrates as Crelate Activities (calls, emails, meetings, tasks) with timestamps normalized from UTC. Manatal Workflow Automations do not migrate as logic; we deliver a written inventory of every active rule for the customer's team to rebuild in Crelate's workflow builder.

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

Manatal logo

Manatal

What's pushing teams away

  • The API is locked behind the Enterprise Plus plan at $55/user/month, forcing teams with custom integrations or migration needs to pay for the highest tier just to access data programmatically.
  • Workflow automations are gated behind Enterprise tier—organizations relying heavily on automated candidate nurture sequences find Professional plan too limited without upgrading.
  • The built-in AI candidate matching fails to properly identify talent for complex or niche roles, pushing recruiters to manually source and filter candidates despite paying for AI features.
  • Navigation difficulty and a disorganized interface cause friction for daily users, especially when filtering large candidate databases with limited column customization.
  • Export limitations frustrate data portability—only one dataset can be exported at a time, exports are not enabled by default, and all timestamps appear in UTC with no timezone override.

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 Manatal objects map to Crelate

Each row shows how a Manatal 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.

Manatal

Candidate

maps to

Crelate

Person (People)

1:1
Fully supported

Manatal Candidates map to Crelate People records. All profile fields (name, email, phone, address, employment history) migrate directly. Custom fields organized under custom categories in Manatal map to Crelate custom fields, preserving field names, data types, and values. Stage history (candidate-to-job pipeline stages) migrates as Crelate Activity records with stage-transition timestamps. Resume files migrate as Crelate Document records attached to the Person. Tags migrate as-is and appear in Crelate's tag system.

Manatal

Job

maps to

Crelate

Job

1:1
Fully supported

Manatal Jobs map directly to Crelate Jobs. The job name, description, status, assigned users, and creation date transfer. Manatal's configurable pipeline stages per Job map to Crelate pipeline stages, preserving custom stage names and ordering. Candidate-to-stage assignments migrate as Crelate Activities or Job Application records linked to the Person and Job. Job vacancy limits from Manatal (differing by plan) are not enforced in Crelate migration; the customer's Crelate plan limits apply post-migration.

Manatal

Organization

maps to

Crelate

Client

1:1
Fully supported

Manatal Organizations (clients or internal departments) map to Crelate Clients. Manatal's Organization import uses name-only deduplication and silently skips matching names. We preprocess the source dataset to identify and resolve naming conflicts before generating the Crelate import file, preserving all records. Organization contact information, address, and custom fields migrate to equivalent Crelate Client fields.

Manatal

Custom Fields (on Candidates)

maps to

Crelate

Custom Fields (on People)

1:1
Mapping required

Manatal custom fields organized under custom categories migrate to Crelate custom fields on the Person object. We preserve field names, data types, and values. Some legacy custom field structures with non-standard IDs from older Manatal accounts may require remapping if the field schema has drifted. Admin-level access is required in Manatal to view custom field definitions; we coordinate this access during scoping.

Manatal

Pipeline Stages

maps to

Crelate

Pipeline Stages

lossy
Mapping required

Manatal pipeline stages are defined per Job. We migrate the full stage sequence including custom stage names and ordering. Each Manatal pipeline becomes a Crelate pipeline with stage values configured to match. Stage-to-candidate assignments at migration time are preserved as Crelate Job Application records or Activity entries depending on Crelate's data model at the destination.

Manatal

Activity Logs

maps to

Crelate

Activity (Calls, Emails, Meetings, Tasks)

1:1
Mapping required

Manatal activity logs capture user actions on candidates and jobs. These map to Crelate Activity records with activity type (call, email, meeting, task), timestamp, actor attribution, and notes. All timestamps in Manatal exports are in UTC; we normalize them during mapping and flag any timezone-sensitive date fields for customer review before final import. High-volume activity logs may require API pagination chunking to avoid rate limit responses.

Manatal

Tags

maps to

Crelate

Tags

1:1
Mapping required

Tags are flat label objects in Manatal applied to candidates and jobs. We migrate all tag assignments preserving the tag names across the dataset. Tags appear in Crelate's tag system attached to the corresponding Person, Job, or Client record.

Manatal

Users / Team Members

maps to

Crelate

Users

1:1
Mapping required

Manatal user accounts with roles and permissions migrate as Crelate User records. The Manatal internal user ID and role assignments are preserved as custom properties in Crelate for audit. SSO configuration and User Groups in Manatal do not migrate; SSO must be reconfigured in Crelate's settings by the customer's admin post-migration.

Manatal

Attachments / Documents

maps to

Crelate

Documents

1:1
Mapping required

Resume files and other attachments referenced in Manatal candidate profiles migrate as Crelate Document records attached to the Person. We migrate document metadata (filename, file type, upload date, attached-to record). Binary file transfer depends on Manatal's export capabilities for the Professional/Enterprise tier (non-API export may require manual file download for binary attachments).

Manatal

Recruitment CRM Data (Clients, Placements, Revenue)

maps to

Crelate

Client + Custom Data

1:1
Mapping required

Manatal includes CRM features for agencies tracking client relationships, placements, and commission revenue. These records map to Crelate Client records supplemented with custom fields for placement data and revenue tracking. If Manatal uses dedicated CRM objects (separate from Organizations) for placement records, we map them to Crelate Jobs or a custom CRM object depending on Crelate's configuration at the destination.

Manatal

Workflow Automations

maps to

Crelate

Workflows (documentation only)

lossy
Mapping required

Manatal Workflow automations trigger on events such as stage transitions or candidate actions. They are available only on Enterprise and Enterprise Plus plans with undocumented fair-usage limits. We document every active automation rule including its trigger, conditions, and actions in a written inventory delivered to the customer for rebuild in Crelate's workflow builder. We do not migrate automation logic as executable code because Manatal and Crelate use different automation models.

Manatal

Job Applications (Candidate-to-Job mappings)

maps to

Crelate

Job Application

1:1
Fully supported

Manatal's candidate-to-job assignments, including pipeline stage assignments and application date, map to Crelate Job Application records linking the Person to the Job. We resolve the Person and Job references during migration so that the Crelate Job Application record is created with the correct foreign key references. Application status and source tracking migrate as Activity records or custom fields on the Job Application.

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.

Manatal logo

Manatal gotchas

High

API access is Enterprise Plus only

High

Data export not enabled by default

Medium

Organization import deduplication by name only

Medium

Workflow automations are tier-gated and use fair usage limits

Low

Export timestamps are UTC only

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

  • Manatal API access requires Enterprise Plus plan

    Manatal's open REST API is exclusively available on the Enterprise Plus plan at $55 per user per month. Any migration requiring programmatic data read or write access is blocked on Professional ($15) or Enterprise ($35) plans. We verify API availability during scoping. If the account is not on Enterprise Plus, we fall back to CSV or XLS export workflows through Manatal's admin panel, which requires contacting Manatal support to activate the export function. This fallback adds coordination time and may limit which datasets can be extracted in a single operation. We flag this during onboarding and coordinate with the customer's Manatal account manager to activate export access before migration begins.

  • Data export not enabled by default

    The bulk data export feature is disabled by default on all Manatal accounts regardless of plan tier. Admins must contact Manatal support to enable exports before any data can be extracted via the admin panel. This is true even on Enterprise Plus where the API is available, because some export scenarios still require admin panel access. We coordinate this activation early in the migration timeline and cannot begin data extraction until export access is confirmed. If the customer has a dedicated Manatal account manager, we engage them directly to expedite activation.

  • Organization import silently skips duplicate names

    When importing Organizations via CSV or JSON into Manatal, the platform checks only the organization name for duplicates. Records with matching names are silently skipped with no error message or warning in the import report. While this is a Manatal-inbound import behavior, it indicates the data quality risk we manage during any bidirectional migration. We preprocess source data to identify organizations with identical or near-identical names, resolve naming conflicts before generating any import file, and flag the deduplication strategy for Crelate's configurable matching rules to ensure no client or candidate data is lost during or after migration.

  • All Manatal timestamps export in UTC only

    All dates and times in Manatal exports are formatted in UTC timezone with no option to adjust the output timezone in the export settings. We account for UTC conversion during the migration mapping phase, preserving original timestamps and flagging any timezone-sensitive date fields for customer review before final import into Crelate. Activity records (calls, emails, meetings, tasks) are particularly affected; we verify timestamp ordering in Crelate after import to confirm the activity timeline sequence matches the source.

  • Custom field definitions require Admin access

    Manatal custom fields organized under custom categories require Admin-level access to create, modify, or in some cases view the full field definition schema. During scoping, we request Admin access to the Manatal account to extract the complete custom field list including field IDs, data types, and category groupings. If access is limited to a non-admin user, we work with the customer's Manatal admin to export custom field definitions before data extraction begins. Some legacy custom field structures from older Manatal accounts may have drifted schema that requires additional remapping work.

Migration approach

Six steps for a successful Manatal to Crelate data migration

  1. Scoping and export activation

    We audit the source Manatal account across plan tier (Professional/Enterprise/Enterprise Plus), candidate and job volume, custom field definitions, active workflow automations, and activity log volume. We verify API availability or, if the account is on Professional or Enterprise, initiate the Manatal support ticket to activate CSV/XLS export. We extract the full object inventory including candidate count, job count, organization count, tag list, and custom field schema. The scoping output is a written migration scope with record counts, export pathway decision, and timeline estimate.

  2. Preprocessing and deduplication

    We preprocess the extracted Manatal data to resolve Organization name conflicts (managing the silent deduplication risk), normalize date formats from UTC to a consistent timezone for Crelate import, flatten any nested custom field categories, and prepare a tag migration list. If the migration uses CSV export rather than API, we split multi-object exports into individual CSV files per object type and verify referential integrity (candidate-to-job links, organization references on candidates) before mapping begins.

  3. Schema mapping and Crelate configuration

    We design the destination Crelate schema, mapping Manatal Candidates to Crelate People with custom field equivalents, Manatal Jobs to Crelate Jobs with pipeline stages configured, and Manatal Organizations to Crelate Clients. We configure Crelate's pipeline stages to match Manatal's stage names and ordering, and we set up Crelate's tag system with the Manatal tag vocabulary. If the customer has placement revenue or commission data in Manatal CRM objects, we define custom fields in Crelate to capture that data on the Client or Job record.

  4. Pilot migration and reconciliation

    We run a pilot migration with a subset of data (typically 500 candidates, 20 jobs, and 10 organizations) into a Crelate test environment. The customer's recruiting lead spot-checks records against the Manatal source, verifies that custom field values appear correctly, confirms that pipeline stage assignments are preserved, and reviews the activity timeline ordering. We correct any mapping errors identified during the pilot before proceeding to full migration. This step typically takes two to three business days.

  5. Full production migration

    We run the full production migration in dependency order: Organizations (Clients) first, then Jobs, then Candidates with resume documents and custom fields, then Tags, then Activity history. Each phase emits a row-count reconciliation report comparing Manatal source counts to Crelate destination counts. Activity records (calls, emails, meetings, tasks) are migrated last because they reference both Person and Job records that must exist first. We apply UTC-to-local timestamp normalization throughout and flag any records that failed import for customer review.

  6. Cutover and workflow handoff

    We freeze writes to Manatal during the cutover window, run a final delta migration of any records modified during the migration window, then enable Crelate as the system of record. We deliver the workflow automation inventory document to the customer's team for rebuild in Crelate's workflow builder. We support a one-week hypercare window where we resolve any data quality issues raised by the customer's recruiters. We do not rebuild Manatal Workflows as Crelate workflows inside the migration scope; that work is handled by the customer's admin using the inventory document we deliver.

Platform deep dives

Context on both ends of the pair

Manatal logo

Manatal

Source

Strengths

  • Generous free tier with 10,000 candidate database cap on Professional plan at $15/user/month
  • Built-in AI candidate scoring and recommendations without requiring external tools
  • Integrated recruitment CRM combining ATS and client relationship management in one platform
  • Bulk data import for Organizations via CSV or JSON with native deduplication
  • Global availability with 24/5 support and multilingual interface

Weaknesses

  • API access gated behind Enterprise Plus plan—organizations needing programmatic data access must pay $55/user/month
  • Workflow automations require Enterprise tier minimum—Professional plan lacks automation entirely
  • Export function not enabled by default and requires contacting support to activate
  • Only one dataset exportable at a time with no batch export for the full account
  • Navigation and filtering limitations in the candidate database create friction for high-volume users
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 Manatal 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

    Manatal: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Manatal 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 Manatal to Crelate data migrations

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

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Most migrations land between three and five weeks for accounts with fewer than 15,000 candidates, standard custom fields, and API access on Enterprise Plus. Professional and Enterprise tier accounts requiring CSV export coordination with Manatal support add one to two weeks of scoping and activation time. Migrations exceeding 15,000 candidates, those with complex multi-category custom field structures, high-volume activity histories, or organizations requiring deduplication preprocessing move to seven to ten weeks.

Adjacent paths

Related migrations to explore

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