CRM migration
Field-level mapping, validation, and rollback between Pega Platform and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Pega Platform
Source
Pipedrive
Destination
Compatibility
14 of 15
objects map 1:1 between Pega Platform and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
Pega Platform organizes work around cases, decision rules, and BPM processes — a fundamentally different model from Pipedrive's deal-centric pipeline view. When teams migrate to Pipedrive, they are typically narrowing scope from broad case management to focused sales pipeline management. We map Pega work cases to Pipedrive deals, Pega data objects to custom fields on deals and persons, Pega assignments to Pipedrive activities, and Pega operators to Pipedrive users matched by email. Pega decision rules, approval chains, and process logic do not migrate — those must be rebuilt as Pipedrive automations or sequences. The migration moves data via Pega's data export APIs and loads into Pipedrive through its REST API, with field-level validation before commit. A delta-pickup window captures any cases modified during cutover so Pipedrive reflects Pega's final state at go-live. During the audit phase, FlitStack enumerates all case properties, data object schemas, and workbasket configurations to build a detailed mapping workbook. Pipedrive pipelines, stages, and custom fields are provisioned through the API before any records are written, ensuring the target environment mirrors the required case taxonomy. Attachments, case history, and SLA deadlines are preserved as deal files, notes, and custom date fields, respectively, while parent‑child case relationships are represented using deal links or custom reference fields. After migration, a comprehensive data‑quality report validates field‑level completeness and flags any unresolved operators for team assignment.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Pega Platform 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.
Pega Platform
Work Case (Pega)
Pipedrive
Deal
1:1Pega work cases map to Pipedrive deals. Each case ID becomes a Pipedrive deal, with case status mapping to deal stage. Case priority translates to a custom deal priority field. The deal name uses case subject or a formatted case ID prefix for traceability.
Pega Platform
Data Object (Pega)
Pipedrive
Custom Fields on Deal / Person
1:1Pega data objects attached to cases export as property bundles. Each top-level property becomes a Pipedrive custom field on the corresponding deal or person record. Nested objects require flattening into separate fields or storing as JSON in a long-text custom field for reference.
Pega Platform
Operator (Pega)
Pipedrive
User (Pipedrive)
1:1Pega operator IDs resolve to Pipedrive users by matching the operator's email address stored in Pega. When an operator record lacks an email or no corresponding Pipedrive account exists, FlitStack flags the entry in a pre-migration report and holds the deal for team assignment. Unresolved operators receive a fallback assignment to the migrating admin user, ensuring every migrated deal has a valid owner.
Pega Platform
Assignment (Pega)
Pipedrive
Activity (Pipedrive)
1:1Pega case assignments with a due date and assignee become Pipedrive activities of type 'task' linked to the corresponding deal. Assignment status (open, resolved) maps to Pipedrive activity status. The original Pega assignment timestamp is preserved in a custom field.
Pega Platform
Workbasket (Pega)
Pipedrive
Pipeline Stage (Pipedrive)
1:1Pega workbaskets represent queues of pending assignments. Each workbasket maps to a Pipedrive pipeline stage so cases in that queue appear in the correct column. Teams with multiple workbaskets should consolidate or map each to a distinct stage in the Pipedrive pipeline.
Pega Platform
Case Create Date
Pipedrive
Deal Create Date
1:1Pipedrive records a deal's creation timestamp when the import job writes the record, which may differ from the original case creation date. FlitStack preserves the Pega case open date in a custom datetime field (Original_Created_Date__c) on the deal, enabling historical reporting, filtering, and sorting by the true case origin while keeping the native Pipedrive create date for internal timing.
Pega Platform
Case SLA / Deadline
Pipedrive
Custom Field on Deal
1:1Pega SLA deadlines do not have a native Pipedrive equivalent. We migrate SLA targets as a custom date field (SLA_Target__c) on the deal. Pipedrive's automation rules can reference this field to trigger follow-up tasks if the team chooses to rebuild SLA logic.
Pega Platform
Case History / Audit
Pipedrive
Activity Log / Notes
1:1Pega case history entries (status changes, assignments, updates) export as a chronological activity log. We migrate this as Pipedrive notes attached to the deal, preserving timestamps and the operator who made each change. This maintains the full case narrative in Pipedrive.
Pega Platform
Decision Rules (Pega)
Pipedrive
Automation Rules (Pipedrive)
1:1Pega decision rules and adaptive models define next-best-action logic that has no Pipedrive equivalent. FlitStack exports the decision rule definitions as a JSON reference file that includes rule criteria, action mappings, and condition hierarchies. The Pipedrive admin can use this file to rebuild equivalent logic using Pipedrive automations or the separate Sequences add-on.
Pega Platform
Process / Flow (Pega)
Pipedrive
Automation (Pipedrive)
1:1Pega BPM processes and robotic automation packages do not export in a form compatible with Pipedrive. FlitStack documents the process flow structure as a reference artifact. The Pipedrive team rebuilds these as automations or sequences based on the documented logic.
Pega Platform
Attachment / File (Pega)
Pipedrive
File Attachments (Pipedrive)
1:1Pega case attachments are uploaded to Pipedrive as deal files, respecting Pipedrive's per-file size limits. For attachments exceeding the limit, FlitStack splits the file or flags it for manual upload. Inline images embedded in Pega case notes are extracted and attached as separate image files to the corresponding deal, preserving visual content with descriptive file names derived from the original case context.
Pega Platform
Related Cases (Pega)
Pipedrive
Linked Deals (Pipedrive)
1:1Pega supports parent‑child case relationships that reflect hierarchical business context. Where Pipedrive's native deal‑linking feature applies, FlitStack creates linked deal associations. For cases with deeper hierarchies or unsupported link types, the related case ID is stored in a custom field (Related_Pega_Case__c) on the target deal, allowing your team to manually establish connections in Pipedrive's UI after migration.
Pega Platform
Customer (Pega)
Pipedrive
Person + Organization (Pipedrive)
many:1Pega stores customer data as part of the case context. We split this into Pipedrive Person (contact details) and Organization (company). The primary customer name and contact info land on the Person; company details route to the Organization. Both link to the migrated deal.
Pega Platform
Report / Dashboard (Pega)
Pipedrive
Insights (Pipedrive)
1:1Pega's operational reports and BPM analytics dashboards—such as SLA compliance, case cycle‑time, and throughput metrics—have no direct Pipedrive equivalent. Pipedrive's Insights provide deal pipeline and activity metrics, but they do not replicate Pega's case‑level performance analytics. FlitStack documents the structure of each Pega report, including field references and filter criteria, to guide your team in manually rebuilding comparable dashboards within Pipedrive's Insights or via third‑party reporting tools.
Pega Platform
Pega pxRefObjectInsKey (Case Object ID)
Pipedrive
Custom Field on Deal
1:1Pega's internal case object instance key (pxRefObjectInsKey) is a unique identifier that FlitStack stores in a custom Pipedrive field (Source_Case_ID__c) on each deal. This field supports delta‑run reconciliation, allowing the migration to capture any Pega changes after the initial export, and provides a direct link back to the original Pega record for audit trails, compliance checks, and integration with downstream systems.
| Pega Platform | Pipedrive | Compatibility | |
|---|---|---|---|
| Work Case (Pega) | Deal1:1 | Fully supported | |
| Data Object (Pega) | Custom Fields on Deal / Person1:1 | Fully supported | |
| Operator (Pega) | User (Pipedrive)1:1 | Fully supported | |
| Assignment (Pega) | Activity (Pipedrive)1:1 | Fully supported | |
| Workbasket (Pega) | Pipeline Stage (Pipedrive)1:1 | Fully supported | |
| Case Create Date | Deal Create Date1:1 | Fully supported | |
| Case SLA / Deadline | Custom Field on Deal1:1 | Fully supported | |
| Case History / Audit | Activity Log / Notes1:1 | Fully supported | |
| Decision Rules (Pega) | Automation Rules (Pipedrive)1:1 | Fully supported | |
| Process / Flow (Pega) | Automation (Pipedrive)1:1 | Fully supported | |
| Attachment / File (Pega) | File Attachments (Pipedrive)1:1 | Fully supported | |
| Related Cases (Pega) | Linked Deals (Pipedrive)1:1 | Fully supported | |
| Customer (Pega) | Person + Organization (Pipedrive)many:1 | Fully supported | |
| Report / Dashboard (Pega) | Insights (Pipedrive)1:1 | Fully supported | |
| Pega pxRefObjectInsKey (Case Object ID) | Custom Field on Deal1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Pega Platform gotchas
Version upgrades deprecate rules and break existing applications
Constellation UI migration requires explicit rule rewrites
Pega Robotics requires separate export tooling
Data Set exports require chunked reads for large volumes
Decision Rule logic does not port automatically to non-Pega destinations
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Audit Pega case structure and workbasket configuration
FlitStack connects to your Pega environment via scoped API access to enumerate work cases, data object schemas, workbaskets, and operator list. We catalog every case property and identify which data objects are embedded versus referenced. This audit produces the mapping workbook: case-to-deal breakdown, data object property list, workbasket-to-pipeline assignment plan, and operator-to-user resolution list. You review and approve the mapping plan before migration begins.
Create Pipedrive pipelines, stages, and custom fields
Before data moves, FlitStack provisions the Pipedrive side: pipeline(s) matching your Pega workbasket structure, stages representing case status flow, and custom fields for Pega properties that have no Pipedrive native equivalent (Source_Case_ID__c, Original_Create_Date__c, SLA_Target__c, Priority__c). We configure these via Pipedrive's API so they exist before any deal records are created. You can add or rename fields during the planning window.
Resolve Pega operators to Pipedrive users
FlitStack matches Pega operator records against Pipedrive user accounts by email address. Operators without an email or without a matching Pipedrive user are flagged in a pre-migration report. Your team either creates Pipedrive accounts for unmatched operators or assigns them to a fallback owner. No deal migrates without a valid Pipedrive owner; unresolved operators are held for manual assignment before the final migration run.
Run sample migration with field-level diff
A representative slice of Pega cases — typically 200–500 records spanning multiple workbaskets and case classes — migrates first. FlitStack generates a field-level diff comparing source values in Pega against the mapped values in Pipedrive. You verify case-to-deal naming, priority mapping, data object field population, activity links, and owner resolution. Sample migration errors are corrected in the mapping workbook before the full run commits.
Execute full migration with delta-pickup window
The full Pega case export runs against Pipedrive's API with batching and rate-limit handling. A delta-pickup window of 24–48 hours captures any cases modified or created in Pega during the cutover. FlitStack generates an audit log of every record migrated, including operator, timestamp, and Pipedrive record ID. One-click rollback is available if reconciliation identifies data integrity issues. Post-migration, you receive a final data quality report and the decision rule reference artifact for Pipedrive automation rebuild.
Platform deep dives
Pega Platform
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Pega Platform and Pipedrive.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Pega Platform: Not publicly documented; rate limits are enforced per API plan and vary by Pega Cloud environment.
Data volume sensitivity
Pega Platform exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Pega Platform to Pipedrive migration scoping. Not seeing yours? Book a call.
Walk through your Pega Platform to Pipedrive migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Pega Platform
Other ways to arrive at Pipedrive
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.