HRMS migration

Migrate from RippleHire to Crelate

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

RippleHire logo

RippleHire

Source

Crelate

Destination

Crelate logo

Compatibility

67%

8 of 12

objects map 1:1 between RippleHire and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from RippleHire to Crelate is a lifecycle-architecture migration. RippleHire organizes hiring around Jobs and a gamified referral engine with India-native BGV and Aadhaar onboarding compliance; Crelate is an ATS-and-Recruiting CRM built for US and Canada-based executive search, staffing, and in-house talent teams. The structural differences are significant: RippleHire has no publicly documented REST API, so data export requires direct coordination with their implementation team. RippleHire's gamification engine stores referral reward eligibility in a proprietary schema with no direct Crelate equivalent. RippleHire's maker-checker offer approval chains carry audit context that we preserve as dated notes on the Crelate Opportunity record. We migrate Jobs as Crelate Jobs, Candidates as Contacts, Referral records as Notes with reward-status context on the Contact, Offers as Opportunities with approval-chain notes, Onboarding tasks as Tasks, and BGV status flags as custom fields on Contact. Workflows, automations, Reports, and Dashboards do not migrate; we deliver 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

RippleHire logo

RippleHire

What's pushing teams away

  • Occasional UI performance issues and unexpected error messages frustrate users managing high-volume pipelines during peak hiring periods.
  • Limited public documentation on API endpoints and data export mechanisms makes self-serve migration planning difficult for IT teams.
  • Enterprise-scale customers report that custom workflow configurations require significant admin time to maintain as hiring processes evolve.

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 RippleHire objects map to Crelate

Each row shows how a RippleHire 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.

RippleHire

Jobs (Requisitions)

maps to

Crelate

Job

1:1
Fully supported

RippleHire Jobs are the primary requisition object organizing the hiring pipeline. We map Jobs to Crelate Job records, preserving job title, description, job board posting status, and sourcing channel attribution. RippleHire's pipeline stages (screening, interview, offer, hire) map to Crelate's job pipeline stages if configured. Any custom fields on the Job record (department, cost-center, hiring-manager assignment) migrate as Crelate custom properties. Job status (open, paused, closed) transfers directly.

RippleHire

Candidates

maps to

Crelate

Contact

1:1
Fully supported

RippleHire Candidates (sourced, referred, and applied profiles) map to Crelate Contact records. We preserve contact details, email, phone, current stage in the RippleHire pipeline, stage-progression timestamps, and sourcing channel attribution. Any resume attached to the Candidate record migrates as a Crelate file linked to the Contact. RippleHire's Candidate ID is preserved in a custom field rh_candidate_id__c for reconciliation purposes.

RippleHire

Referrals

maps to

Crelate

Note (on Contact)

1:many
Fully supported

RippleHire Referral records carry the referrer identity, referral status (pending, shortlisted, hired), reward eligibility, and any incentive payout milestone. Crelate has no native gamification object, so we create a structured Note on the Crelate Contact record containing the referrer name, referral status, reward eligibility flag, and payout stage. This preserves the referral context without requiring a custom object. If the referrer is not already a Contact in RippleHire, we create a minimal Contact record for them in Crelate to anchor the referral note.

RippleHire

Offers

maps to

Crelate

Opportunity

1:1
Mapping required

RippleHire Offers map to Crelate Opportunity records. We map offer amount, currency, offer status (accepted, declined, pending), and candidate name to the Opportunity. RippleHire's maker-checker approval chain (who approved, at which stage, under which policy rule) migrates as date-stamped notes on the Crelate Opportunity, preserving the full approval audit trail. Offer letter attachments migrate as files linked to the Opportunity.

RippleHire

Onboarding

maps to

Crelate

Task

1:1
Mapping required

RippleHire Onboarding data (post-offer engagement, BGV status, appointment scheduling, day-one join details) maps to Crelate Task records attached to the relevant Contact or Opportunity. BGV completion status migrates as a custom field on the Contact. We do not migrate the full onboarding-day details if they live in a separate document; in that case, we attach the document as a file and create a summary Task record with the onboarding checklist status.

RippleHire

Users (Hiring Team Members)

maps to

Crelate

User

1:1
Fully supported

RippleHire Users (recruiters, hiring managers, admins) map to Crelate User records by email match. Role-based permissions migrate as Crelate role assignments; any RippleHire role without a direct Crelate equivalent is documented for the customer's admin to reconfigure post-migration. Inactive RippleHire users map to inactive Crelate Users.

RippleHire

Custom Fields (Jobs and Candidates)

maps to

Crelate

Custom Properties

lossy
Fully supported

RippleHire custom fields on Jobs and Candidates migrate to Crelate custom properties on Job and Contact. We map the field name, data type, and picklist values. Conditional-logic dependencies and cross-field validation rules from RippleHire are documented in the migration scope as configuration requirements for the customer's admin to rebuild in Crelate's custom forms editor. If a RippleHire picklist maps to a Crelate multi-select, we create the matching picklist values during schema setup.

RippleHire

Background Verification (BGV) Records

maps to

Crelate

Custom Field + File (on Contact)

1:1
Mapping required

RippleHire BGV records track verification status against Aadhaar and other India-specific checks. We carry the verification status (pending, in-progress, completed, failed) as a custom field on the Crelate Contact. Detailed BGV report documents export as file attachments on the Contact. Any BGV data tied to India-specific identifiers (Aadhaar numbers) is flagged during migration for the customer's compliance team to handle per data-governance policy; we do not transfer personally identifiable Aadhaar data unless explicitly scoped and approved.

RippleHire

Talent Sourcing Channels

maps to

Crelate

Tag (on Contact)

1:1
Mapping required

RippleHire unifies referrals, vendor/agencies, and job board sources under a single sourcing view with per-candidate attribution. We preserve source attribution as a Crelate Tag on the Contact record. Vendor-specific pipeline stages that may exist in RippleHire but not in Crelate are documented for admin review; we do not create custom pipeline stages without explicit scope confirmation.

RippleHire

Workflows and Approvals

maps to

Crelate

Note (on relevant record)

1:1
Mapping required

RippleHire maker-checker workflow configurations govern offer approvals and other approval gates. These are system-level workflow definitions that do not migrate. We map the outcome records (who approved, at which stage, under which policy rule, with what timestamp) as date-stamped notes on the relevant Crelate record (Offer becomes Opportunity, Onboarding becomes Task). The customer receives a written workflow inventory documenting every RippleHire approval gate and a recommended rebuild approach in Crelate's workflow tools.

RippleHire

Decline Analysis

maps to

Crelate

Not migrated

lossy
Not supported

Decline analysis in RippleHire is an aggregated reporting artifact summarizing offer-decline trends, not a transactional data object. We do not migrate reporting-layer artifacts. The customer receives a written note identifying the Decline Analysis report as a reporting-layer feature that should be rebuilt as a Crelate report or exported to a BI tool post-migration.

RippleHire

Reports and Dashboards

maps to

Crelate

Not migrated

lossy
Not supported

RippleHire shared dashboards for offer status, pipeline analytics, and decline insights are BI-layer artifacts tied to the platform's data warehouse. These do not migrate as data records. We deliver a written inventory of every RippleHire report and dashboard with its underlying data sources and recommended Crelate equivalent (built-in report or exported to a BI platform).

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.

RippleHire logo

RippleHire gotchas

High

No publicly documented REST API or bulk export endpoint

Medium

Gamified referral data lives in a proprietary reward schema

Medium

Offer approval chains use maker-checker workflow that is source-system specific

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

  • RippleHire has no publicly documented API for data export

    RippleHire does not publish a REST API reference or bulk export endpoint in its public documentation. Data export requires direct coordination with RippleHire's implementation or support team to obtain structured CSV or direct-database exports of Jobs, Candidates, Referrals, Offers, and Onboarding records. We handle this coordination as part of the scoping phase. The customer must initiate the RippleHire data-request conversation and provide us with the exported files. Without vendor cooperation, a direct database read is not possible, which can extend the scoping timeline by two to four weeks if RippleHire's export team has limited availability.

  • Gamified referral reward data has no direct Crelate equivalent

    RippleHire's gamification engine tracks referral reward eligibility, referral status, payout milestones, and employee leaderboard positions in a proprietary schema. Crelate does not have a native gamification or referral-reward object. We extract the full referral record and create a structured Note on the Crelate Contact with the referrer name, referral status, reward eligibility flag, and payout stage. Any incentive payout history or employee reward balances that depend on RippleHire's internal calculation logic cannot be preserved automatically; the customer's HR or rewards admin reconciles these post-migration.

  • Offer approval chains are RippleHire-specific and not a native Crelate object

    RippleHire's maker-checker workflow engine captures who approved an offer, at which stage, and under which policy rule (by role, location, and CTC band). Crelate has no native approval workflow engine. We preserve the approval outcomes as date-stamped notes on the Crelate Opportunity record, including approver identity, approval timestamp, and the policy rule that triggered the gate. Multi-level approval logic with conditional branching is documented in the workflow inventory and recommended for rebuild in Crelate's workflow tools by the customer's admin post-migration.

  • India-specific BGV and Aadhaar data requires compliance review before transfer

    RippleHire BGV records include India-specific verification checks tied to Aadhaar and other regulated identifiers. Crelate is designed for US and Canada hiring contexts and has no native framework for India-compliance fields. We migrate BGV status flags (pending, in-progress, completed, failed) as a custom field on the Contact and attach BGV documents as files. Any Aadhaar numbers or other regulated personal identifiers in the RippleHire BGV record are flagged for explicit compliance review before transfer; we do not automatically move regulated personal data without the customer's documented approval.

  • Custom field picklist dependencies may require admin rebuild in Crelate

    RippleHire custom fields on Jobs and Candidates may include conditional picklist logic where one field's value gates the options available in another field. Crelate's custom forms editor supports field mappings from form responses to Contact and Opportunity fields, but cross-field conditional logic is configured differently. We map the custom field data as Crelate custom properties with the correct picklist values. Any conditional dependencies that cannot be preserved through a direct field mapping are documented for the customer's admin to rebuild in Crelate's custom forms configuration.

Migration approach

Six steps for a successful RippleHire to Crelate data migration

  1. Export coordination and discovery

    We initiate contact with RippleHire's implementation or support team to request a structured data export. We audit the RippleHire portal for all active objects: Jobs, Candidates, Referrals, Offers, Onboarding tasks, Users, custom fields, BGV status records, and sourcing channel data. We also inventory active workflows, maker-checker approval chains, referral reward configurations, and any reporting artifacts. The discovery output is a written migration scope identifying every object, its estimated record count, any schema dependencies, and the RippleHire export timeline.

  2. Schema setup in Crelate

    We configure the destination Crelate environment before any data import. This includes creating custom properties on Job and Contact to accommodate RippleHire's custom fields, setting up picklist values that match RippleHire's sourcing channels and stage values, configuring file-storage structure for resumes and offer letter attachments, and creating the User records that map to RippleHire hiring team members by email match. Crelate's Settings | Custom Forms editor is used to configure field mappings for any form-based data capture that maps to Contact or Opportunity fields.

  3. Referral and approval transformation design

    We design the transformation logic for RippleHire's proprietary objects. Referral records are converted into structured Notes on the relevant Crelate Contact, preserving referrer identity, referral status, reward eligibility, and payout stage. Offer approval chains are extracted from RippleHire's workflow outcome records and formatted as date-stamped notes on the corresponding Crelate Opportunity. BGV status is extracted as a discrete value and written to a custom Contact field; BGV documents are exported as file attachments. This transformation design is reviewed with the customer before any import runs.

  4. Sandbox migration and reconciliation

    We run a full test migration into a Crelate staging environment using the exported RippleHire data. The customer's talent acquisition lead reviews 25-50 randomly sampled records across Jobs, Candidates, Referrals, Offers, and Onboarding, comparing against the RippleHire source. We resolve any field-mapping corrections, picklist value mismatches, and record-type decisions (for example, whether a RippleHire Candidate sourced via vendor maps to a Crelate Tag or a separate Contact type). The customer signs off on the staging result before production migration begins.

  5. Production migration in dependency order

    We run production migration in record-dependency sequence. Users are provisioned first (mapped by email). Jobs are migrated next as the primary requisition anchor. Candidates follow as Contacts with the RippleHire Candidate ID preserved in a custom field for reconciliation. Referrals are written as Notes on the relevant Contact. Offers are written as Opportunities with approval-chain notes. Onboarding tasks are written as Tasks on the relevant Contact or Opportunity. BGV status migrates as a custom field; BGV documents attach as files. Custom fields on Job and Contact populate during the respective record imports. Sourcing channel attribution writes as Tags on Contact.

  6. Cutover, final delta, and workflow handoff

    We freeze RippleHire 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 the workflow inventory document covering every RippleHire approval chain, referral reward configuration, and custom field dependency requiring rebuild. We support a one-week hypercare window for reconciliation issues. We do not rebuild RippleHire workflows, automations, or gamification logic in Crelate within the migration scope; those are separate configuration engagements for the customer's admin.

Platform deep dives

Context on both ends of the pair

RippleHire logo

RippleHire

Source

Strengths

  • Gamified referral engine with automated reward tracking increases employee referral volume and quality.
  • India-native compliance features including Aadhaar-based BGV and Aadhaar onboarding for regulated hiring.
  • High-volume hiring support tested at seasonal retail and e-commerce scales up to 10,000 hires.
  • Maker-checker workflow engine replaces email approval chains with systematic, auditable governance.
  • End-to-end lifecycle from sourcing through onboarding in a single platform reduces tool sprawl.

Weaknesses

  • Public-facing API documentation is limited, making programmatic export planning challenging without vendor coordination.
  • Performance stability issues (slow responses, unexpected errors) are reported by enterprise users managing active pipelines.
  • Pricing is not publicly published; enterprise sales engagement is required to obtain quotes.
  • Limited geographic footprint outside India and Southeast Asia compared to global ATS competitors.
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 RippleHire 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

    RippleHire: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your RippleHire 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 RippleHire to Crelate data migrations

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

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Most migrations land between three and five weeks for accounts under 10,000 Candidates and 500 Jobs with no complex gamification or multi-level approval chains. Migrations with large referral histories (over 5,000 referral records), multi-level offer approval chains, BGV status data, or onboarding tasks spanning multiple stages move to eight to twelve weeks because of RippleHire export coordination, transformation design for the referral reward schema, and sandbox validation requirements.

Adjacent paths

Related migrations to explore

Ready when you are

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