CRM migration
Field-level mapping, validation, and rollback between Pega Platform and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Pega Platform
Source
Salesforce Sales Cloud
Destination
Compatibility
9 of 10
objects map 1:1 between Pega Platform and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
48–72 hours
Overview
Pega Platform stores business data in customizable Data Objects organized around Pega's case-management and work-party model. Salesforce Sales Cloud uses a structured CRM schema anchored by Account, Contact, Lead, and Opportunity objects, with custom fields carrying the __c suffix and relationships enforced through lookups and junction objects. The fundamental architectural shift is from Pega's process-centric case threads to Salesforce's entity-centric relationship model. We extract Pega data via the Pega REST API and Data Set exports, map work objects to Salesforce Opportunities or custom objects depending on record type, and translate Pega assignments to Salesforce OwnerId lookups by email resolution. Pega's workflow rules, Decision Rules, and routing logic are application-layer artifacts that do not export — they require Salesforce Flow or Apex rebuilding. Case hierarchies with parent-child relationships need custom lookup fields or junction objects to represent multi-level nesting. Activity history including case assignments, status changes, and timestamps migrates as custom datetime fields on Opportunity records since Salesforce does not natively track case-assignment chains. The migration runs through Salesforce Bulk API to handle high record volumes efficiently, with field-level validation and a reconciliation diff before final commit to ensure data fidelity.
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 Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Pega Platform
Data Object (Case/Work)
Salesforce Sales Cloud
Opportunity
1:1Pega work objects translate to Salesforce Opportunities with stage mapping from Pega Status to Opportunity StageName using value-based mapping per case type. Each Pega case becomes one Opportunity record; parent-child case relationships require custom Parent_Case_ID__c lookup fields or junction objects in Salesforce to represent multi-level case hierarchies correctly.
Pega Platform
Data Object (Customer/Party)
Salesforce Sales Cloud
Account + Contact
many:1Pega parties with individual identities map to Salesforce Contacts, while organizations map to Accounts. When a Pega party represents both an individual and an organization (e.g., a contact at a company), we create both Account and Contact records and link them via the AccountId field on the Contact for relationship traceability.
Pega Platform
Operator
Salesforce Sales Cloud
User
1:1Pega Operators are resolved to Salesforce Users by email match against the User Email field. Unmatched operators are flagged before migration begins, requiring your team to either provision Salesforce users first or assign records to a fallback user. Operator Skills and Work Baskets require manual rebuild using Salesforce Queues and Criteria-Based Sharing rules.
Pega Platform
Assignment (Case Assignment)
Salesforce Sales Cloud
Opportunity OwnerId
1:1Pega assignment history (who held the case and when) is preserved as custom datetime fields on the Opportunity since Salesforce does not track assignment chains natively. The final assignee becomes the Opportunity OwnerId, and prior assignee timestamps are stored in custom datetime fields for audit continuity.
Pega Platform
Data Transform (Status History)
Salesforce Sales Cloud
Custom datetime fields on Opportunity
1:1Pega case status transitions are captured as a serialized JSON custom field (e.g., Status_History__c) because Salesforce lacks native audit logging for field-value changes without Field History Tracking enabled on each field individually.
Pega Platform
Custom Data Object
Salesforce Sales Cloud
Custom Object (__c)
1:1Pega custom Data Object classes migrate one-to-one to Salesforce custom objects with the __c suffix. Relationship tables in Pega that model many-to-many associations require Salesforce junction objects — custom objects with two Lookup fields each — since standard Salesforce objects do not support many-to-many relationships without junction objects.
Pega Platform
Pega File Attachment
Salesforce Sales Cloud
Salesforce Files (ContentDocument)
1:1Pega file attachments are downloaded from Pega storage and re-uploaded to Salesforce Files linked to the target Opportunity, Account, or Contact via ContentDocumentLink. Salesforce's 25MB per-file limit applies to ContentVersion uploads; files exceeding this are flagged for manual handling or chunked into multiple ContentVersion segments.
Pega Platform
Pega Note / Annotation
Salesforce Sales Cloud
Note / ContentNote
1:1Pega notes and annotations migrate as Salesforce Notes (ContentNote). Rich-text formatting is preserved where the Pega note uses a supported HTML subset. Notes are linked to the parent record (Opportunity, Account, or Contact) via ContentDocumentLink to maintain association.
Pega Platform
Data Page (Reference Data)
Salesforce Sales Cloud
Custom Object or Custom Settings
1:1Pega reference data pages containing lookups and pick-lists translate to Salesforce custom objects or Custom Settings depending on whether the data is org-wide configuration or record-specific. Pick-list values from Pega Decision Tables require value-by-value mapping to Salesforce picklist fields during schema planning.
Pega Platform
Pega SLA / Commitment
Salesforce Sales Cloud
Custom fields on Opportunity
1:1Pega service-level commitments attached to cases migrate as custom datetime fields (e.g., SLA_Deadline__c) because Salesforce Sales Cloud lacks a native SLA tracking object without add-ons. Urgency scores migrate to a custom Number field; rebuilt SLA monitoring can use Salesforce Flow with time-based triggers for deadline evaluation.
| Pega Platform | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Data Object (Case/Work) | Opportunity1:1 | Fully supported | |
| Data Object (Customer/Party) | Account + Contactmany:1 | Fully supported | |
| Operator | User1:1 | Fully supported | |
| Assignment (Case Assignment) | Opportunity OwnerId1:1 | Fully supported | |
| Data Transform (Status History) | Custom datetime fields on Opportunity1:1 | Fully supported | |
| Custom Data Object | Custom Object (__c)1:1 | Fully supported | |
| Pega File Attachment | Salesforce Files (ContentDocument)1:1 | Fully supported | |
| Pega Note / Annotation | Note / ContentNote1:1 | Fully supported | |
| Data Page (Reference Data) | Custom Object or Custom Settings1:1 | Fully supported | |
| Pega SLA / Commitment | Custom fields on Opportunity1:1 | 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
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Discover Pega data model and export via API
FlitStack connects to your Pega environment via REST API using service account credentials with read access. We enumerate all Data Object classes, their fields, and relationship rules. A Data Set export pulls records in CSV/JSON format. We profile field cardinality, null rates, and pick-list distributions to surface data-quality issues before schema planning begins. The Pega export runs against a staging copy of your Pega instance to avoid impacting production case processing.
Map Pega objects to Salesforce schema and resolve operators
We generate a schema mapping plan that assigns each Pega Data Object to a Salesforce standard or custom object. Operator IDs are resolved against your Salesforce user list by email; unmatched operators are reported with the option to pre-provision users or use a fallback owner. Custom fields are created in Salesforce Object Manager with appropriate types (Text, Number, DateTime, Picklist) before any data lands. Record Types are defined per Pega case type for page-layout scoping.
Run sample migration with field-level diff
A representative slice of 100–500 records migrates first, spanning the main Data Object types, operators, and file attachments. We generate a field-level diff between the Pega source and Salesforce destination, verifying case ID preservation, status-to-stage mapping, operator resolution, and file linkage. You review the diff before the full run commits. Any pick-list unmapped values are identified and corrected in this phase.
Execute full migration with delta-pickup window
The full record set loads via Salesforce Bulk API in batches. A delta-pickup window of 24–48 hours captures records modified in Pega during the migration window. Every operation is logged in an audit trail; one-click rollback reverts the org to pre-migration state if reconciliation fails. After rollback window closes, your team transitions to Salesforce as the system of record and Pega enters read-only status.
Validate record counts, relationships, and file integrity
Post-migration, we run reconciliation queries comparing Pega record counts against Salesforce record counts by object type and status. We verify that Account-Contact links resolve correctly, that Opportunity OwnerIds point to active Users, and that ContentDocumentLink records attach files to the correct parent records. A migration report with record counts, error logs, and skipped records is delivered for your IT team's sign-off.
Platform deep dives
Pega Platform
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Salesforce Sales Cloud.
Object compatibility
2 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 Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.
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