HRMS migration

Migrate from Dover to Crelate

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

Dover logo

Dover

Source

Crelate

Destination

Crelate logo

Compatibility

83%

10 of 12

objects map 1:1 between Dover and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Dover to Crelate is a CSV-first migration. Dover publishes no public REST API, so we pull Candidates, Jobs, Scorecards, and Users through the platform's native bulk CSV export and transform the data to match Crelate's schema before loading via Crelate's API or CSV importer. Crelate's recruiting platform combines ATS, CRM, and sourcing tools at $119 per user per month on Business tier, which represents a meaningful cost shift from Dover's free or $199 flat-rate model. We preserve scorecard values as custom fields or Crelate questionnaire responses depending on the customer's evaluation workflow, map pipeline stages to Crelate's stage taxonomy per job, and maintain stage history as timestamped activity entries. Dover's Gmail and Calendar integrations are OAuth-linked external accounts not stored in Dover's database and are not included in the CSV export. Job board integrations (LinkedIn, Indeed, and 100+ others) are API-linked credentials that require manual reconnection in Crelate 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

Dover logo

Dover

What's pushing teams away

  • The absence of a documented public API means engineering teams cannot build custom integrations or automate workflows around the ATS, forcing reliance on Dover's native connectors only.
  • Occasional bugs and interface glitches cause friction when managing multiple concurrent pipelines, with users reporting dropped scores and lost stage changes.
  • As hiring volume scales past 20–30 open roles, the platform's simplicity becomes a constraint—basic reporting lacks the depth needed for hiring funnel analytics and recruiter performance metrics.
  • Teams that require advanced compliance features such as SOC 2 controls, role-based data residency, or audit logs find Dover's offering insufficient for enterprise procurement requirements.

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 Dover objects map to Crelate

Each row shows how a Dover 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.

Dover

Candidate

maps to

Crelate

Person (Contact or Candidate)

1:1
Fully supported

Dover Candidate records map to Crelate's Person object, which functions as a unified contact and candidate record. We extract name, email, phone, current stage, source, and application date from the Dover CSV and map each to the corresponding Crelate Person field. Stage history (Applied, Screening, Interview, Offer, Hired, Rejected) migrates as Crelate activity timeline entries with timestamps preserved. We flag any Dover custom candidate fields (sourced from Premium AI scoring or manual recruiter notes) for mapping to Crelate custom fields before ingest.

Dover

Job

maps to

Crelate

Job / Job Order

1:1
Fully supported

Dover Job postings including title, department, location, employment type, and description map directly to Crelate Job records. Each Dover job-to-candidate linkage migrates as a Crelate submission or candidate-job association. We preserve the Dover job status (Open, Paused, Closed) and any job owner mapping. The job-to-candidate relationship is resolved at migration time using the candidate email as the dedupe key.

Dover

Scorecard (AI-generated or manual)

maps to

Crelate

Custom Field or Questionnaire Response

1:1
Fully supported

Dover scorecards (AI applicant scores from Premium tier and manually created evaluation templates) do not have a direct Crelate equivalent. We export scorecard values as custom fields on the candidate record in CSV, then map them to Crelate custom fields of the matching type (number, rating, or text). If the customer used Dover's structured evaluation templates with multiple criteria, we map them to Crelate Questionnaires attached to the Person record. We flag any Dover proprietary scoring format that cannot be typed into a standard Crelate field.

Dover

Pipeline Stage

maps to

Crelate

Pipeline Stage

lossy
Fully supported

Dover pipeline stages (Applied, Screening, Interview, Offer, etc.) vary by job template. We extract the complete stage taxonomy per job from Dover's CSV exports, then configure Crelate's Pipeline Stage values to match the customer's stage names and order. Stage probability percentages, where set in Dover, map to Crelate stage probabilities. Any Dover stages with no Crelate equivalent go to a reconciliation list for the customer to define before production migration.

Dover

Interview Guide / Template

maps to

Crelate

Questionnaire

1:1
Fully supported

Dover interview guides and structured interview templates are Dover-specific objects without a direct Crelate equivalent. We export the guide criteria as structured text and map them to Crelate Questionnaires or as multi-line custom fields on the Person record. The customer chooses between questionnaire format (reusable for future candidates) or custom field format (historical-only) during scoping.

Dover

User (Team Member)

maps to

Crelate

User

1:1
Fully supported

Dover User accounts including name, email, and role export from Dover's team settings CSV. We map each Dover user to a Crelate User record by email match. Inactive or pending-invite Dover users go to a reconciliation queue for the customer's admin to resolve before User import. User roles (Admin, Recruiter, Hiring Manager) map to Crelate's role and permission structure.

Dover

Stage History / Activity Log

maps to

Crelate

Activity Timeline Entry

1:1
Fully supported

Dover's stage history table (separate CSV export) records every candidate stage transition with a timestamp and optionally the recruiting team member who made the change. We map each stage transition to a Crelate activity entry on the Person record with the activity type set to reflect a stage change. Original stage names and timestamps are preserved as the activity description. This ensures the candidate's progression history is visible in Crelate's timeline without requiring manual re-entry.

Dover

Candidate Source

maps to

Crelate

Source Tracking

1:1
Fully supported

Dover's candidate source field (LinkedIn, Referral, Job Board, Direct, etc.) maps to Crelate's Source Tracking field on the Person record. We preserve the original source value for reporting purposes and map it to Crelate's standard source taxonomy, flagging any Dover-specific source values that need customer confirmation.

Dover

Candidate Tags / Labels

maps to

Crelate

Tags

1:1
Mapping required

Dover candidate tags export as a multi-value field in the CSV. We map each tag to Crelate's tag taxonomy on the Person record. Tags used for segmentation or pipeline filtering in Dover are preserved so that Crelate's filtering and list-building tools can replicate Dover's tagging workflow post-migration.

Dover

Candidate Note

maps to

Crelate

Note

1:1
Fully supported

Dover candidate notes export from the candidate CSV as plain text or rich text fields. We map them to Crelate Notes linked to the Person record with the original author and timestamp preserved. Note attachments (documents stored in Dover) migrate as file links if URLs are present in the CSV; otherwise we flag for manual re-upload.

Dover

Offer Record

maps to

Crelate

Opportunity (Job-level)

1:1
Fully supported

If Dover tracks offer details as a structured record, we map them to Crelate's Opportunity object at the job or placement level. Offer amount, start date, and offer status map to corresponding Crelate Opportunity fields. For teams using Dover's offer stage only (without a full opportunity object), we map the offer data as custom fields on the Person record to preserve the offer context.

Dover

Job Board Posting Credential

maps to

Crelate

Job Board Integration Settings

lossy
Fully supported

Dover job board integrations (LinkedIn, Indeed, X/Twitter, Glassdoor, and 100+ others) are API-linked credentials stored in Dover settings, not records in the candidate data model. We do not migrate job board API keys or credentials. We document every active Dover job board connection for the customer's admin to reconfigure in Crelate's integrations section post-migration, providing a checklist of the posting URLs to re-authenticate.

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.

Dover logo

Dover gotchas

High

No public API requires CSV-only export for migration

Medium

AI features gated behind Premium tier

Medium

Calendar and email threads not portable

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

  • Dover has no public API — CSV-only export governs migration methodology

    Dover does not publish a REST API or webhook documentation, meaning all data export for migration uses the platform's CSV bulk export feature only. We pull Candidates, Jobs, Scorecards, and Users as separate CSV downloads from Dover's native export panel. There is no automated delta export between snapshots, so any records modified during the export-to-ingest window require a manual delta pull. We flag records that exceed CSV row limits or contain malformed data (such as multi-line notes with unescaped quotes) before loading into Crelate. Crelate's API or CSV importer is used for ingest, but the export side is constrained by Dover's tooling.

  • AI scorecards from Dover Premium do not have a direct Crelate equivalent

    Dover's AI applicant scoring and AI note-taking are proprietary Premium-tier features stored in a format specific to Dover's scoring model. When we export these values from the CSV, they land as unstructured or semi-structured data. We map them to Crelate custom fields as free-text, number, or rating types, but the AI-computed score carries no semantic equivalence in Crelate's scoring system. If the customer uses Dover's AI scoring as a primary evaluation signal, we warn that Crelate's Basic AI Assistant is a different model and any historical AI scores should be treated as reference data, not as continuous metrics, in the destination system.

  • Gmail and Calendar integrations do not export from Dover

    Dover's Gmail and Calendar integrations are OAuth-linked external accounts connecting Google Workspace to the Dover candidate record. Interview scheduling history, email threads, and calendar events live in Google, not in Dover's own database, and are not included in the CSV export. We document which candidate records have Dover-linked Google activity and recommend reconnecting Crelate's Gmail and Calendar integrations post-migration so that new scheduling activity flows into Crelate going forward. Historical interview records are not portable across platforms without re-entering them manually or exporting from Google Workspace separately.

  • Dover's per-job stage variations require per-job stage mapping

    Dover allows pipeline stages to vary by job template, meaning the set of stages for an Engineering role may differ from a Sales role. Crelate uses a more centralized pipeline stage model. We extract the complete stage taxonomy per job during discovery, configure Crelate pipeline stages to accommodate the superset of stage names, and map each job's stage sequence individually. Jobs with non-standard stages that have no Crelate equivalent require customer decisions during scoping. This per-job mapping step adds time to migrations with more than 20 open jobs.

  • Job board API credentials are not portable across ATS platforms

    Dover's job board integrations (LinkedIn, Indeed, Monster, CareerBuilder, and over 100 others) use API credentials stored in Dover's settings. These credentials are tied to Dover's API keys and cannot be transferred to Crelate. Each job board integration must be re-authenticated in Crelate's settings post-migration. We provide the customer with a list of every active Dover job board posting and its associated job so that the admin can re-enable postings in Crelate without reconstructing the full job description and targeting settings from scratch.

Migration approach

Six steps for a successful Dover to Crelate data migration

  1. Discovery and CSV export

    We guide the customer through Dover's native bulk CSV export process, extracting Candidates, Jobs, Scorecards, Users, and Stage History as separate downloadable files. We audit the export for row count, field coverage, and any malformed data (unescaped characters, multi-value fields, and truncated notes). We also document the active job board integrations, pipeline stage variations per job, and any Dover Premium AI scorecard usage for inclusion in the migration scope document.

  2. Stage taxonomy mapping and questionnaire design

    We extract the complete stage taxonomy across all Dover jobs and map it to Crelate's pipeline stage configuration. For each unique stage sequence found in Dover, we design a corresponding Crelate pipeline with stage names, order, and probabilities aligned to the customer's original workflow. If Dover's evaluation scorecards are used as the primary evaluation mechanism, we design the Crelate questionnaire structure to replicate the scorecard criteria and scoring scale. We validate this design with the customer's recruiting lead before building the Crelate configuration.

  3. Crelate sandbox configuration and schema build

    We configure a Crelate sandbox or trial environment with the pipeline stages, custom fields, and questionnaire templates derived from the Dover discovery. We create all required custom fields on the Person object, configure the Job object with the correct department, location, and employment type taxonomy, and set up user roles matching the Dover team structure. The customer reviews and approves the configuration before data import begins.

  4. CSV transformation and data quality remediation

    We transform the Dover CSV exports into Crelate's import format, applying field-level type mapping (text to text, date to date, rating to rating, multi-select to tag), splitting multi-value fields, and resolving any Dover stage names to the configured Crelate stage taxonomy. We flag any candidate records with missing required fields (email, name) and provide the customer with a remediation list before loading. Stage history is formatted as activity entries linked to the Person record.

  5. Sandbox import and reconciliation

    We run a full import into the Crelate sandbox using production data volume. The customer's recruiting lead spot-checks 25-50 randomly selected candidate records against the Dover source, verifies stage history accuracy, confirms scorecard values in custom fields or questionnaires, and validates job-to-candidate linkage. Any mapping corrections are applied to the transform pipeline before production migration. Owner (User) mapping is validated at this stage.

  6. Production migration and cutover

    We run the production migration in dependency order: Users first (validated against the Crelate User table by email), then Jobs, then Person records (with stage history and scorecards), then Notes and Tags. We freeze writes in Dover during the cutover window, run a final delta of records modified during migration, then set Crelate as the system of record. We deliver the job board reconnection checklist, the workflow and automation rebuild inventory (if Dover had any active automations), and a one-week hypercare window for reconciliation issues.

Platform deep dives

Context on both ends of the pair

Dover logo

Dover

Source

Strengths

  • Free tier includes unlimited users, jobs, and 100+ job board integrations with no time limit
  • Template-based scorecards and interview guides get teams live in under two hours
  • Native Gmail and Calendar sync keeps recruiting activity in existing tools
  • AI applicant scoring and auto-generated interview notes reduce manual screening overhead
  • Responsive Premium support provides onboarding guidance for teams without HR ops staff

Weaknesses

  • No documented public API limits programmatic access to candidate and job data
  • Free tier lacks AI features, custom reporting, and premium support found in paid alternatives
  • Occasional UI bugs and stability issues reported in G2 reviews
  • Limited advanced analytics and hiring funnel reporting compared to enterprise ATS platforms
  • No SOC 2 compliance certification disclosed, creating procurement friction for regulated industries
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 Dover 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

    Dover: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Dover 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 Dover to Crelate data migrations

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

Can't find your answer?

Walk through your Dover to Crelate migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Dover to Crelate migrations land between three and five weeks for teams with under 5,000 candidates, 200 jobs, and straightforward stage taxonomies. Migrations with per-job stage variations, AI-generated scorecards stored in Dover Premium, or large stage history volumes (over 50,000 activity entries) move to six to ten weeks because of the per-job stage mapping work and the questionnaire design step. Dover's CSV-only export means there is no real-time delta capability during migration, so any records modified during the export-to-ingest window require a manual delta pull that adds a day or two to the timeline.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Dover.
Land in Crelate, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day