HRMS migration

Migrate from Easy Tech to Crelate

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

Easy Tech logo

Easy Tech

Source

Crelate

Destination

Crelate logo

Compatibility

100%

12 of 12

objects map 1:1 between Easy Tech and Crelate.

Complexity

CModerate

Timeline

48–96 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Teams migrate from Easy Tech to Crelate when they need deeper CRM functionality, better reporting, and more flexible pipeline management than their current ATS provides. Easy Tech stores candidate records, job orders, and client contacts in a flat or semi-relational model. Crelate uses a unified ATS+CRM schema with Contacts, Companies, Jobs, and Opportunities — plus a Placements object for tracking successful hires and fee arrangements. The migration carries everything Easy Tech stores natively (candidates, resumes, activities, job orders, client records) into Crelate's object graph. The harder problems are mapping Easy Tech's candidate-to-job association model to Crelate's candidate submission workflow, preserving candidate activity history across the move, and fitting custom fields within Crelate's 20 custom fields per entity cap. We sequence the migration using Crelate's REST API (120 req/min limit) with bulk operations where the platform supports them, running a field-level diff before committing the full dataset. Pre-migration planning typically requires 3–5 business days to audit custom fields, provision users, and obtain client approval on the field compression plan.

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

Easy Tech logo

Easy Tech

What's pushing teams away

  • Customers report that Easy Tech lacks advanced HR features such as performance management, compensation planning, or compliance reporting needed as companies scale.
  • The platform's limited integration ecosystem makes it difficult to connect with payroll providers, benefits carriers, or enterprise identity systems.
  • Support responsiveness and product roadmap visibility are cited as concerns, with customers noting the platform does not appear actively developed.

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 Easy Tech objects map to Crelate

Each row shows how a Easy Tech 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.

Easy Tech

Candidate

maps to

Crelate

Contact

1:1
Fully supported

Easy Tech candidate records map to Crelate Contacts. The Contact record becomes the primary candidate profile in Crelate's ATS+CRM model. Original create date and last-modified timestamp are preserved as custom fields since Crelate's native CreatedDate reflects the migration timestamp rather than the original Easy Tech record creation date. This preservation ensures historical reporting continuity for time-in-pipeline and candidate aging analyses.

Easy Tech

Candidate Resume / Attachment

maps to

Crelate

Contact Attachment

1:1
Fully supported

Resume files attached to Easy Tech candidate records are re-uploaded to Crelate as Contact attachments. File size limits apply — Crelate handles documents up to 25MB per file. Multiple resume versions in Easy Tech are consolidated to the most recent version plus a historical versions attachment.

Easy Tech

Candidate Skills

maps to

Crelate

Contact Custom Field (multi-select pick-list)

1:1
Fully supported

Easy Tech skill tags stored as a comma-separated list or tag field are transformed into a Crelate multi-select custom field on Contact. If Easy Tech stores skills as individual related records, they are concatenated into a single multi-select value within Crelate's field constraints.

Easy Tech

Client Company

maps to

Crelate

Company

1:1
Fully supported

Easy Tech client corporation records map directly to Crelate Companies. Company name, address, industry, website, and revenue fields map to their Crelate equivalents. Parent-child company hierarchies in Easy Tech translate to Crelate's Company ParentId relationship. Multi-level hierarchies are flattened where necessary to maintain referential integrity during migration.

Easy Tech

Job Order

maps to

Crelate

Job

1:1
Fully supported

Easy Tech job orders map to Crelate Jobs. Job title, description, requirements, status, and assigned recruiter map to Crelate Job fields. Job status pick-list values are mapped value-by-value to Crelate's Job status pick-list — active, filled, closed, on-hold, and cancelled statuses require explicit value mapping.

Easy Tech

Candidate Submission / Application

maps to

Crelate

Job Candidate Status

1:1
Fully supported

Easy Tech candidate-to-job submissions map to Crelate's candidate status on Job records. Submission date, current status, and source (direct, referral, job board) are preserved as fields on the Job's candidate list. Status values are mapped to Crelate's candidate status pick-list per job pipeline.

Easy Tech

Placement / Hire Record

maps to

Crelate

Placement

1:1
Fully supported

Easy Tech placement records (accepted offers, hired candidates) map to Crelate's Placements object. Placement links the Candidate (Contact) to the Job and captures fee percentage, pay rate, start date, salary, and client billing details. Placements in Easy Tech without a structured object are reconstructed from job order status changes and candidate activity history.

Easy Tech

Activity (Call, Email, Note)

maps to

Crelate

Activity

1:1
Fully supported

Easy Tech call logs, email logs, and notes attached to candidates or jobs map to Crelate Activities. Activity type, subject, body, date, and owner are preserved. Each activity links to its parent Contact or Job record. Original timestamps are kept; Crelate's activity date reflects the original Easy Tech activity date.

Easy Tech

User / Recruiter Owner

maps to

Crelate

User

1:1
Fully supported

Easy Tech recruiter and user assignments resolve by email match against Crelate Users. Unmatched owners are flagged before migration — either the user is provisioned in Crelate first or their records are assigned to a fallback Crelate user during migration. System admin must verify user provisioning before migration runs.

Easy Tech

Custom Candidate Field

maps to

Crelate

Contact Custom Field

1:1
Fully supported

Easy Tech custom candidate fields exceeding Crelate's 20-field cap per entity require compression. Our team audits active versus deprecated fields, merges related fields where values permit, and archives fields with no data. Remaining active fields are created as Crelate Contact custom fields before migration loads data.

Easy Tech

Custom Job Field

maps to

Crelate

Job Custom Field

1:1
Fully supported

Easy Tech custom job order fields map to Crelate Job custom fields. Job-specific fields like salary range, remote policy, security clearance requirements, or client budget notes are evaluated for Crelate field type compatibility. Multi-select job field values are mapped to Crelate pick-lists with explicit value mapping configuration.

Easy Tech

Pipeline / Job Stage

maps to

Crelate

Job Status + Pipeline

1:1
Fully supported

Easy Tech pipeline stages (sourcing, screening, interviewing, offer, etc.) map to Crelate Job status values. If Easy Tech uses multiple pipelines with different stage sets, each pipeline maps to a separate job status value set in Crelate — this requires explicit value mapping per stage name in each pipeline.

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.

Easy Tech logo

Easy Tech gotchas

High

No documented public API for data export

Medium

Custom fields schema is undocumented

Medium

Document and attachment export is unconfirmed

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

  • Crelate's 20 custom fields per entity cap requires active field compression

    Crelate enforces a 20 custom fields per entity limit across Contact, Company, Job, Opportunity, and Placement objects. Easy Tech ATS setups with more than 20 custom fields per candidate or job order require data model compression before migration. Our audit process identifies fields with zero or minimal data (deprecated fields, test data), merges semantically related fields where value space permits, and archives inactive fields. Fields with data are prioritized by recency of use and business criticality. This compression step typically adds 2–3 days to the planning phase but prevents migration failures at load time.

  • Crelate's 120 req/min API rate limit extends migration timeline for large datasets

    Crelate's API enforces a 120 requests per minute rate limit, which governs how quickly FlitStack can write data during migration. Easy Tech datasets with more than 25,000 total records (candidates + jobs + companies + placements) require multiple API batch cycles, extending the migration timeline proportionally. We mitigate this by using Crelate's bulk import endpoints where available, batching reads from Easy Tech into memory, and applying exponential backoff on 429 responses. Large dataset migrations (100k+ records) may require 7–14 days to complete all batches while respecting rate limits.

  • Candidate-to-job association history requires submission record reconstruction

    Easy Tech's candidate submission model creates a junction record linking candidates to job orders with status tracking. Crelate tracks candidate status on the Job record itself rather than a separate junction object. Migrating the full submission history — which candidates applied to which jobs, when, and with what outcome — requires reconstructing this as custom fields on the Crelate Job (last candidate submitted, submission count, most recent status). Single-submission-per-candidate records map cleanly; candidates with multiple submissions to different jobs require one Job record update per submission.

  • Placement records in Easy Tech may not have a structured object

    Easy Tech implementations often store placement data as job order status changes (marked 'filled') or within notes rather than a dedicated placement object. Crelate has a native Placements object that captures pay rate, fee percentage, start date, salary, and client billing. When Easy Tech placement data is unstructured, our team reconstructs placement records from job order filled dates combined with candidate activity logs (offer emails, start date communications) and any fee-related notes. This reconstruction step requires 1–2 additional review cycles with your team to verify accuracy before committing.

  • Activity history from Easy Tech loses internal metadata on re-import

    Easy Tech email and call activities store internal metadata — email thread IDs, call disposition codes, recording file references — that may not map directly to Crelate's Activity fields. Crelate Activities capture type, subject, body, date, and owner but do not natively store thread references or call disposition codes. We preserve this metadata in a custom JSON field (ActivityMetadata__c) on each migrated Activity record, allowing your team to reference the original Easy Tech metadata in Crelate. This is not visible in standard Crelate reports but is queryable via API or custom report types.

Migration approach

Six steps for a successful Easy Tech to Crelate data migration

  1. Audit Easy Tech custom fields and map to Crelate schema

    FlitStack extracts the complete Easy Tech field inventory — standard and custom — for candidates, jobs, companies, and placements. We compare this inventory against Crelate's 20-field per-entity cap and identify which fields require compression. Our team produces a field audit report showing which Easy Tech fields will map directly, which merge into existing Crelate fields, which become new Crelate custom fields, and which are archived due to inactivity or data loss risk. This report requires your approval before custom field creation begins in Crelate.

  2. Provision Crelate users and resolve owner assignments

    FlitStack matches Easy Tech recruiter and user IDs against Crelate Users by email address. Accounts without a Crelate match are flagged in a pre-migration owner report. Your team either provisions Crelate user accounts for new recruiters before migration or assigns a fallback Crelate user (e.g., a migration admin) for records belonging to inactive Easy Tech users. No record loads into Crelate without a valid OwnerId — this prevents orphaned records that can't be assigned in Crelate's permission model.

  3. Migrate Companies before Jobs before Candidates

    Crelate's foreign key model requires Company records to exist before Job records can link to them, and Contact records to exist before Placement records can link to candidates. FlitStack sequences the migration in dependency order: Companies first (resolving parent-company hierarchies), then Jobs (resolving client company lookups), then Candidates/Contacts (resolving company associations), then Submissions (linking candidates to jobs), then Placements (linking placed candidates to jobs). Each tier completes validation before the next tier begins, preventing foreign key errors on load.

  4. Run sample migration with field-level diff

    A representative slice migrates first — typically 200–500 records spanning contacts, companies, jobs, submissions, and placements across different statuses and owners. FlitStack generates a field-level diff report comparing the source Easy Tech values against the destination Crelate values for each record. You review the diff to verify custom field mapping, status value translations, date preservation, and owner resolution. This step catches mapping errors before the full dataset commits and typically requires 1–2 rounds of adjustment before approval to proceed.

  5. Execute full migration with delta-pickup window

    Once the sample migration is approved, FlitStack runs the full dataset migration against Crelate's API. A delta-pickup window (typically 24–48 hours) captures any Easy Tech records created or modified during the migration run — recruiter activity continues in Easy Tech during this window without interruption. FlitStack maintains a read-only connection to Easy Tech during cutover and replays new or changed records into Crelate before final reconciliation. An audit log captures every API operation, and one-click rollback reverts the Crelate instance to its pre-migration state if reconciliation uncovers data integrity issues.

Platform deep dives

Context on both ends of the pair

Easy Tech logo

Easy Tech

Source

Strengths

  • Simplifies new hire onboarding with digital paperwork collection and role assignment tools
  • Provides a unified employee record combining contact info, job details, and organizational placement
  • Targets small businesses with straightforward pricing and minimal configuration requirements

Weaknesses

  • No publicly documented API or export endpoints for automated data migration
  • Limited integrations with payroll, benefits carriers, and enterprise identity providers
  • Absence of advanced HR features limits suitability for growing or compliance-sensitive organizations
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?

Moderate HRMS migration. 3 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Easy Tech and Crelate.

  • Object compatibility

    C

    3 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

    Easy Tech: Not applicable.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Easy Tech 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 Easy Tech to Crelate data migrations

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

Can't find your answer?

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Most Easy Tech to Crelate migrations complete in 48–96 hours of clock time for datasets under 25,000 total records. Larger datasets with 100,000+ records extend to 7–14 days primarily due to Crelate's 120 requests per minute API rate limit. The planning and field compression phase (Steps 1–2) typically adds 3–5 business days before migration execution begins. Custom field compression for Easy Tech setups with more than 20 custom fields per entity is the longest planning step.

Adjacent paths

Related migrations to explore

Ready when you are

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