CRM migration
Field-level mapping, validation, and rollback between Fireberry and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Fireberry
Source
Salesforce Sales Cloud
Destination
Compatibility
6 of 12
objects map 1:1 between Fireberry and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Fireberry to Salesforce Sales Cloud is a schema-first migration because Fireberry's Component system exposes standard CRM objects, custom fields, and custom object definitions that require explicit enumeration before any export. Unlike platforms with publicly documented APIs, Fireberry's schema lives inside the customer's instance and can include user-defined structures not surfaced in a basic export. We run a schema-discovery step against the customer's live Fireberry instance, catalog every active object and field, then pre-create the matching Salesforce custom objects and fields in the destination org before any data moves. Fireberry Pipelines map to Salesforce Record Types and Sales Processes; Deals map to Opportunities with stage probabilities preserved; and Activities map to Tasks and Events via the Bulk API 2.0 to handle volume without silent drops. Workflows, automations, and any Reports stored in Fireberry do not migrate as reusable definitions; we deliver a written inventory of every active automation rule for the customer's admin to rebuild in Salesforce Flow post-migration.
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 Fireberry 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.
Fireberry
Contact
Salesforce Sales Cloud
Lead or Contact (split required)
1:manyFireberry's Contact object has no separate Lead equivalent — all person records live as Contact with no pre-conversion state. We map Fireberry Contacts to Salesforce Leads if they represent unqualified prospects with no associated Opportunity, and to Salesforce Contacts if they have an associated Company and Deal history. We use Fireberry's contact status property to determine the split and preserve the original Fireberry contact record identifier in a custom field fb_contact_id__c for audit reconciliation.
Fireberry
Company
Salesforce Sales Cloud
Account
1:1Fireberry Company records map directly to Salesforce Account. The Company name becomes Account Name, industry and size fields map by type, and the address structure migrates as billing or shipping address depending on how the customer uses the field. Account is created before Contact import so the AccountId Lookup is satisfied at insert time.
Fireberry
Deal
Salesforce Sales Cloud
Opportunity
1:1Fireberry Deals map to Salesforce Opportunity. The deal amount, stage, probability, and expected close date migrate directly. We resolve the linked Company (Account) and Contact (Contact) references before Opportunity insert so that related records are intact at import time. Closed-Lost and Closed-Won dates preserve from Fireberry's stage-history timestamps if available.
Fireberry
Pipeline
Salesforce Sales Cloud
Record Type + Sales Process
lossyEach Fireberry Pipeline becomes a Salesforce Opportunity Record Type with a corresponding Sales Process that whitelists the pipeline's stage values. Stage ordering and probability percentages migrate to Salesforce StageName and StageProbability. We configure these in the destination org before any Opportunity data loads so that stage validation rules do not reject records on import.
Fireberry
Pipeline Stage
Salesforce Sales Cloud
Opportunity Stage
lossyFireberry stage names map to Salesforce StageName values. We preserve the stage sequence order and probability. If Fireberry uses custom stage colors or labels, we capture these in the migration manifest and recommend equivalent Salesforce Lightning stage picklist styling as a post-migration configuration step.
Fireberry
Custom Object (Component)
Salesforce Sales Cloud
Custom Object (__c)
1:1Fireberry Custom Objects — exposed via the Component system and identified during schema discovery — map to Salesforce custom objects with __c API names. We pre-create the destination schema including all custom fields, field types (text, number, picklist, date, lookup), and any lookup relationships to standard objects before importing custom object records. The customer reviews the schema mapping document and approves field-type decisions before migration begins.
Fireberry
Custom Field (on standard object)
Salesforce Sales Cloud
Custom Field (__c)
lossyStandard objects in Fireberry (Contact, Company, Deal) may carry additional custom fields beyond the base schema. We enumerate these during schema discovery, map each to a Salesforce custom field on the equivalent standard object, and flag any picklist, formula, or rollup-type fields that require special handling during import. Picklist value sets are pre-created in Salesforce to avoid import rejections from undefined picklist values.
Fireberry
Activity (Call, Meeting, Note, Task)
Salesforce Sales Cloud
Task + Event
1:1Fireberry Activities map to Salesforce Task (for calls and tasks) and Event (for meetings). We use the Bulk API 2.0 to handle volume efficiently and preserve ActivityDate timestamps so that the Salesforce activity timeline reflects the correct chronological order. Call disposition and duration migrate to custom Task fields if configured. Notes migrate as Salesforce Note records linked via ContentDocumentLink to the parent Contact, Account, or Opportunity.
Fireberry
Tag / Label
Salesforce Sales Cloud
Multi-Select Picklist or Custom Text
lossyFireberry tags on Contacts and Companies migrate as a multi-select picklist field or as a comma-separated custom text field depending on the customer's downstream use case. The customer chooses during scoping. If tags are used for segmentation, we recommend a multi-select picklist; if used for flexible categorization, a text field preserves more tag variety without picklist value management overhead.
Fireberry
Attachment (file reference)
Salesforce Sales Cloud
ContentDocument + ContentVersion
1:1Fireberry file attachments stored against records export as download references. We preserve the original filename, file type, and download URL in a Salesforce custom field fb_attachment_ref__c. The customer reviews and re-uploads files post-migration if the original hosting is not accessible, or we upload directly if the source export includes binary content. This is a manual handoff step noted in the migration manifest.
Fireberry
User / Owner
Salesforce Sales Cloud
User
1:1Fireberry Users map to Salesforce Users by email address match. We extract every distinct Owner referenced on Contact, Company, Deal, and Activity records. Owners without a matching Salesforce User go to a reconciliation queue. The customer's Salesforce admin provisions missing Users (active or inactive depending on whether the original Fireberry user is still employed) before record import resumes.
Fireberry
Workflow / Automation
Salesforce Sales Cloud
Workflow Inventory (document only)
lossyFireberry automation rules are captured as structured text records during migration scoping — trigger type, conditions, and actions — but cannot be exported as reusable definitions. We deliver a written inventory of every active automation with a recommended Salesforce Flow equivalent and the customer's admin rebuilds them post-migration. We do not migrate automations as code.
| Fireberry | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split required)1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline | Record Type + Sales Processlossy | Fully supported | |
| Pipeline Stage | Opportunity Stagelossy | Fully supported | |
| Custom Object (Component) | Custom Object (__c)1:1 | Fully supported | |
| Custom Field (on standard object) | Custom Field (__c)lossy | Fully supported | |
| Activity (Call, Meeting, Note, Task) | Task + Event1:1 | Fully supported | |
| Tag / Label | Multi-Select Picklist or Custom Textlossy | Fully supported | |
| Attachment (file reference) | ContentDocument + ContentVersion1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Workflow / Automation | Workflow Inventory (document only)lossy | 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.
Fireberry gotchas
Free plan caps at 3 Projects and 100+ Components
Custom Objects and Components require explicit schema discovery
Workflow automations do not export as reusable definitions
Billing cycle determines the migration window
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
Discovery and schema enumeration
We audit the customer's Fireberry instance across all active Projects, Components, custom objects, custom fields, Pipelines, stage definitions, and active workflow rules. We extract a full schema export that lists every object name, field name, field type, and picklist value. We also pull record counts per object type, owner distribution, and any active integrations via Fireberry's API. The discovery output is a written migration manifest and a fixed-price quote. If the customer is on the free tier, we flag the Component cap constraint at this stage and recommend an upgrade before scoping proceeds.
Schema pre-creation in Salesforce
We design the destination Salesforce schema based on the schema enumeration. This includes creating custom objects (with __c API names matching Fireberry's Component names), custom fields on standard objects, Record Types per Fireberry Pipeline, Sales Processes per Record Type, picklist value sets, and validation rules scoped to the migration load user. Schema deploys to a Salesforce Sandbox (Full Copy) first for validation. Any mapping corrections happen here, not in production. This step runs concurrently with the schema discovery review and typically takes one to two weeks.
Sandbox migration and reconciliation
We run a full migration into the Salesforce Sandbox using production-like data volume. The customer's RevOps or Salesforce admin reconciles record counts (Accounts in, Contacts in, Leads in, Opportunities in, Activities in), spot-checks 25-50 random records against the Fireberry source, and reviews the custom object data integrity. The customer signs off the sandbox migration before we proceed to production. Any schema corrections, mapping corrections, or picklist value additions happen in this phase.
Owner reconciliation and User provisioning
We extract every distinct Fireberry Owner referenced on Contact, Company, Deal, and Activity records and match by email against the Salesforce destination org's User table. Owners without a matching User go to a reconciliation queue with the customer's admin. The admin provisions missing Users before production migration begins. Migration cannot proceed past this step because OwnerId references are required on most standard objects in Salesforce.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Fireberry Companies), Custom Object schema (verified against the pre-created destination), Contacts and Leads (with AccountId resolved), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Activity history (Tasks and Events via Bulk API 2.0), Custom Object records (with lookup references resolved to parent standard objects), Tags (as multi-select picklist or text), and Attachments (as ContentDocument with fb_attachment_ref__c for review). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, delta migration, and automation handoff
We freeze writes in Fireberry during cutover, run a final delta migration of any records created or modified during the migration window, then mark Salesforce as the system of record. We deliver the workflow and automation inventory document to the customer's admin team with a recommended Salesforce Flow equivalent for each rule. We support a one-week hypercare window where we resolve reconciliation issues raised by the sales team. We do not rebuild Fireberry automations as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin rebuild task.
Platform deep dives
Fireberry
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Fireberry and Salesforce Sales Cloud.
Object compatibility
1 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
Fireberry: Not publicly documented.
Data volume sensitivity
Fireberry doesn't expose a bulk API — REST + parallelization used for high-volume runs.
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.
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FAQ
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