CRM migration

Migrate from ArkCase to Pipedrive

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

ArkCase logo

ArkCase

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

12 of 12

objects map 1:1 between ArkCase and Pipedrive.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

ArkCase organizes work around Cases, Complaints, People, Organizations, Tasks, and Documents within a BPMN-driven workflow engine. Pipedrive organizes work around People, Organizations, Deals, Activities, and Products, with an automations builder that triggers on field changes and deal-stage transitions. The two platforms share a person–organization association model but diverge sharply on case management, document storage, and workflow logic. FlitStack AI extracts your ArkCase data via its REST API (structured JSON export), maps Cases to Deals using a custom_case_number__c field to preserve reference IDs, maps ArkCase People to Pipedrive Persons, Organizations to Pipedrive Organizations, Tasks to Pipedrive Activities, and Documents to Pipedrive Files with original timestamps and owner links intact. Workflows, BPMN processes, FOIA/ROI-specific logic, and ACL-based sharing rules do not migrate — we export workflow definitions as JSON blueprints for your Pipedrive admin to rebuild in Pipedrive Automations or via the API. The migration runs in a scoped-read window against ArkCase, capturing all linked objects in dependency order, followed by a 24–48h delta pickup to capture in-flight changes at cutover.

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

ArkCase logo

ArkCase

What's pushing teams away

  • Organisations report that the open-source tier ships with minimal support and no high-availability clustering, causing reliability concerns for production workloads that would require Enterprise pricing to resolve.
  • The learning curve for non-technical staff around BPMN workflow design is steeper than marketed — legal teams frequently need external consultants to build and maintain non-trivial routing logic.
  • Integration with third-party ECM repositories requires custom configuration that is not always well-documented, leading to support tickets and extended implementation timelines.
  • The analytics and reporting module on the open-source tier is described as limited, pushing growing organisations toward the paid tiers or an external BI tool, which adds cost and complexity.

Choosing

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How ArkCase objects map to Pipedrive

Each row shows how a ArkCase object lands in Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

ArkCase

Person

maps to

Pipedrive

Person

1:1
Fully supported

ArkCase Person maps 1:1 to Pipedrive Person. All standard contact fields (name, email, phone, job title, address) transfer directly. The ArkCase Person–Organization link migrates as the Pipedrive primary OrganizationId lookup — one primary org per person, consistent with Pipedrive's data model.

ArkCase

Organization

maps to

Pipedrive

Organization

1:1
Fully supported

ArkCase Organization maps 1:1 to Pipedrive Organization. Org name, address, domain, industry, and employee count transfer as direct fields. Parent–child org hierarchies in ArkCase map to Pipedrive's parent_org_id field. Multi-party affiliations require one primary org per person with secondary affiliations surfaced as custom text fields.

ArkCase

Case

maps to

Pipedrive

Deal

1:1
Fully supported

ArkCase Case has no native Pipedrive equivalent — Cases migrate as Pipedrive Deals with a custom custom_case_number__c text field (max 255 chars) to preserve the original case reference ID. Case status (e.g., Open, Pending, Closed) maps to a custom status pick-list on the Deal. Priority, category, and assigned_team fields become custom fields on the Deal record.

ArkCase

Case / Person link

maps to

Pipedrive

Deal / Person link

1:1
Fully supported

ArkCase Case–Person associations (e.g., case initiator, case contact, case assignee) map to Pipedrive's Person–Deal association. In Pipedrive, each Deal can link multiple Persons with a designated 'main' contact flag. ArkCase's role label on the association (e.g., Requester, Assignee) migrates as a custom pick-list field on the Deal's person link.

ArkCase

Complaint

maps to

Pipedrive

Deal (custom field)

1:1
Fully supported

ArkCase Complaint object has no Pipedrive equivalent. Complaints migrate as Deals with a custom complaint_type__c field and custom is_complaint__c boolean flag. If the complaint relates to an existing Person or Organization, the Deal links to that record; standalone complaints become Deals without a linked Organization.

ArkCase

Task

maps to

Pipedrive

Activity (task type)

1:1
Fully supported

ArkCase Tasks map to Pipedrive Activities with type='task'. Original due dates, assignees, and completion status transfer. ArkCase task checklists (sub-task lists) cannot migrate as nested structures in Pipedrive — we flatten them into individual Activity records linked by a custom parent_task__c field.

ArkCase

Document / File

maps to

Pipedrive

File (Pipedrive Files)

1:1
Fully supported

ArkCase documents (versions, ACL metadata, check-in/check-out state) are flattened to Pipedrive Files attached to the mapped Deal or Person. Version history is captured as a custom versions__c text field. Files exceeding Pipedrive's 25MB limit are flagged and can be stored externally with a URL custom field linking back to the original ArkCase repository.

ArkCase

Custom Object

maps to

Pipedrive

Custom field or note

1:1
Fully supported

ArkCase custom objects migrate as Deal custom fields if they hold scalar values (text, number, date, pick-list). Complex nested ArkCase custom objects with their own sub-relationships migrate as formatted notes on the parent Deal or Person, preserving the JSON payload in a custom custom_object_payload__c field for future parsing.

ArkCase

User / Assignee

maps to

Pipedrive

User (owner resolution)

1:1
Fully supported

ArkCase users are matched to Pipedrive users by email address. Unmatched users are flagged before migration — the team either creates Pipedrive accounts first or assigns records to a designated fallback owner. ArkCase role names (e.g., Case Manager, Reviewer) cannot map to Pipedrive roles and must be stored as a custom field on the record.

ArkCase

Audit Log / History

maps to

Pipedrive

Note (custom)

1:1
Fully supported

ArkCase's per-record audit trail (status changes, assignment changes, document additions) has no native Pipedrive equivalent. We export the audit log as a JSON blob stored in a custom audit_log__c long-text field on the Deal. If audit log length exceeds the 32,768-character limit, we truncate and flag for manual retrieval.

ArkCase

Workflow / BPMN process

maps to

Pipedrive

No equivalent

1:1
Fully supported

ArkCase BPMN 2.0 workflows do not migrate. We export each workflow definition as a JSON file with trigger events, gateway conditions, and action steps documented. Pipedrive Automations use a trigger-action model (no BPMN gateway support) — your Pipedrive admin uses the exported workflow JSON as a rebuild specification.

ArkCase

ACL / Role / Permission

maps to

Pipedrive

Visibility group

1:1
Fully supported

ArkCase's fine-grained object-level and document-level ACLs have no Pipedrive equivalent. We map ArkCase role names to Pipedrive visibility groups by name where possible. Document-level permissions are lost — we add a custom original_acl__c text field storing the original ArkCase permission summary for audit reference.

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.

ArkCase logo

ArkCase gotchas

High

Custom BPMN workflows do not auto-migrate between instances

Medium

Time entries with inactive user references will fail import

Medium

FOIA request stage names vary by jurisdiction and require explicit mapping

Low

Open-source tier lacks a documented bulk API

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • ArkCase Cases and Complaints have no native Pipedrive equivalent — custom fields bridge the gap but alert management changes

    ArkCase ships with dedicated Case and Complaint objects with their own status workflows, priority routing, and ACL scopes. Pipedrive has no Case or Complaint object — we map these to Deals with a custom_case_number__c text field, a custom case_status__c pick-list, and an is_complaint__c boolean. When your team promotes a 'case' through a Pipedrive pipeline stage, that stage transition is a deal-stage change — not a case-status change. This means Pipedrive's reporting on deal movement does not automatically reflect the case's lifecycle progression that ArkCase tracked natively. We surface this gap in the migration plan and give your Pipedrive admin a rebuild recipe for the case-specific status pick-list.

  • ArkCase BPMN workflows cannot migrate to Pipedrive Automations — export-for-rebuild is the only path

    ArkCase's BPMN 2.0 workflow engine models processes with parallel gateways, conditional branching, timers, user tasks, and script tasks. Pipedrive Automations use a flat trigger-action model (when field X changes, do Y) with no BPMN gateway support. Workflows involving multi-step approvals, parallel document reviews, or escalation timers have no equivalent in Pipedrive. We export every ArkCase workflow definition as a structured JSON file with trigger events, conditions, and action sequences documented per ArkCase's BPMN XML. Your Pipedrive admin uses that JSON to rebuild the automation logic in Pipedrive's automation builder — this is a manual step that must be scoped separately from the data migration.

  • ArkCase document version history and ACLs are flattened — version strings stored as a custom field, permissions lost

    ArkCase tracks document version numbers (v1.0, v1.1, v2.0), check-in/check-out state, and per-document ACLs. Pipedrive Files are flat attachments with a single version. We re-host ArkCase documents as Pipedrive Files on the mapped Deal or Person, store the original version string as a custom document_version__c text field, and flag check-in/check-out state as a custom doc_lock_status__c field. Fine-grained document-level ACLs from ArkCase (ArkCase supports object-level and document-level permission sets) cannot map to Pipedrive's visibility group model — we store the original permission summary as a custom original_acl__c text field for audit reference.

  • ArkCase's N:N person–organization model requires a primary-org collapse in Pipedrive

    ArkCase supports N:N Person–Organization associations natively — one person can be affiliated with multiple organizations simultaneously. Pipedrive's Person record has one primary org_id field plus optional additional organizations stored in the Person's detail view but not as a first-class relationship. We migrate one primary Organization per person (the most-recently-modified affiliation, or by your specified rule) as the org_id lookup. Secondary affiliations are stored as a custom secondary_orgs__c text field listing additional organization names or IDs for reference.

  • Pipedrive API burst rate limits (20–120 req/2s) and daily fair-usage caps require migration throttling

    Pipedrive enforces per-token burst limits — Lite plans allow 20 requests per 2-second window, Ultimate plans allow 120 requests per 2-second window — plus a daily fair-usage cap of 10,000 POST/PUT requests across all integrations. ArkCase's export API delivers records in structured JSON without rate constraints on the source side. Our migration connector implements exponential backoff on Pipedrive's HTTP 429 responses, respects the per-token burst window, and paces POST/PUT operations to stay within the daily fair-usage ceiling. For migrations exceeding 50,000 records, we recommend using Pipedrive's Bulk API (where available) or scheduling the migration during off-peak hours to avoid hitting the daily cap mid-run.

Migration approach

Six steps for a successful ArkCase to Pipedrive data migration

  1. ArkCase object and field inventory scoping

    We connect to your ArkCase instance via its REST API using your authenticated credentials and pull a complete object inventory: Person records with all custom properties, Organization records, Case records with status and priority values, Complaint records, Task records linked to parent cases, and Document metadata (file names, sizes, parent case IDs). We also export your workflow definitions as BPMN JSON for the rebuild package. This scoping call identifies which objects have custom fields, which have pick-list value sets that require value-mapping in Pipedrive, and how many documents need file re-hosting.

  2. Pipedrive custom field pre-creation and pipeline setup

    Before data lands, your Pipedrive admin (or our team) creates the custom fields needed on the Deal object: custom_case_number__c (text), case_status__c (pick-list), custom_priority__c (pick-list), custom_category__c (text or pick-list), is_complaint__c (boolean), is_complaint__c (boolean), and document_version__c (text) on the File object. We deliver a custom field setup checklist based on the ArkCase object inventory so Pipedrive is schema-ready before validation runs. Pipedrive's Deal Fields API (POST /dealFields) creates custom deal fields programmatically.

  3. User and owner resolution by email match

    ArkCase users and assignees are matched to Pipedrive users by email address. We run a pre-flight resolution report: for each ArkCase user with records, we check whether a Pipedrive user with the matching email exists. Unmatched users are flagged in a remediation report — your team either creates Pipedrive user accounts first or designates a fallback owner (e.g., the admin account) for records whose ArkCase owner has no Pipedrive match. Records without an owner assignment cannot be inserted into Pipedrive and are held until resolution.

  4. Dependency-ordered migration: Organizations → Persons → Deals → Activities → Files

    We sequence the migration to respect Pipedrive's foreign-key constraints: Organizations must exist before Persons (via org_id), Deals must have a valid person_id or org_id before insertion, and Activities must reference a valid deal_id. We run Organizations first, then Persons, then Deals (Cases + Complaints), then Activities (Tasks), then Files. Documents are uploaded last with the deal_id or person_id already resolved. For each object, we generate a field-level diff report comparing the source ArkCase value against the destination Pipedrive value for every mapped field so you can verify mapping correctness before the full run.

  5. Sample migration with field-level diff and audit log

    A representative slice — typically 100–500 records per object type spanning persons, organizations, cases, tasks, and a sample of documents — migrates first. We generate a field-level diff showing every source field value, mapped destination field, and transformation applied (direct, value-mapped, custom field). You review the diff and approve or adjust mappings. The audit log captures every API operation (insert, update, skip, error) with the source ArkCase ID and destination Pipedrive ID. One-click rollback is available if reconciliation fails — this reverts all records inserted during the migration run.

  6. Delta pickup with 24–48h cutover window and workflow rebuild package delivery

    After the full migration run completes, a delta pickup window opens — any ArkCase record created or modified during the cutover period is identified via modifiedDate comparison and migrated in a second pass. Your team continues working in ArkCase during this window (FlitStack uses scoped read access only). Once the delta pass completes and you confirm data integrity, ArkCase is deprecated. Simultaneously, we deliver the ArkCase workflow export JSON package with per-workflow rebuild instructions for Pipedrive Automations. Role and ACL mappings are delivered as a Pipedrive visibility-group assignment guide.

Platform deep dives

Context on both ends of the pair

ArkCase logo

ArkCase

Source

Strengths

  • Open-source core with no per-record licensing, removing artificial data-caps on the free tier.
  • FedRAMP, HIPAA, and HITECH compliance certifications are pre-built, not add-ons, reducing compliance overhead for government and healthcare customers.
  • RESTful API and SDK are available on all tiers, including open source, enabling programmatic data access and integration.
  • BPMN 2.0 workflow engine ships with out-of-the-box templates for FOIA, ROI, and data-privacy processes.
  • Multi-language localisation (English, French, Italian, German, Spanish) is included across all tiers.

Weaknesses

  • High-availability clustering and the full analytics module are gated behind Enterprise Gold pricing, not available on the open-source tier.
  • No native bulk-export or bulk-import UI — large-volume data movement requires API scripting or professional services engagement.
  • The open-source tier offers only online-documentation support, with no named support engineer or SLA on the free plan.
  • Medical OCR/NLP AI and audio/video transcription engines are Platinum-tier exclusives, not available on Enterprise Gold.
  • Pricing beyond named-user tiers involves custom quotes and volume discounts that are not publicly standardised, complicating budget forecasting.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 of 8 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 ArkCase and Pipedrive.

  • Object compatibility

    B

    3 of 8 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

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    ArkCase: Not publicly documented for any tier.

  • Data volume sensitivity

    B

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

Estimator

Estimate your ArkCase to Pipedrive 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 ArkCase to Pipedrive data migrations

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

Can't find your answer?

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Most ArkCase-to-Pipedrive migrations complete within 48–72 hours of clock time for migrations under 25,000 records. Pipedrive's API rate limits (20–120 requests per 2-second burst window depending on plan) are the primary pacing factor. Larger setups with 100,000+ records, high document volumes, or multiple custom objects extend to 7–14 days. The longest planning step is usually the custom field setup in Pipedrive — we deliver the field-creation checklist in the first day so Pipedrive is schema-ready before the migration engine starts.

Adjacent paths

Related migrations to explore

Ready when you are

Move from ArkCase.
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