CRM migration

Migrate from Fireberry to Salesforce Sales Cloud

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 logo

Fireberry

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

50%

6 of 12

objects map 1:1 between Fireberry and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Fireberry logo

Fireberry

What's pushing teams away

  • Reporting capabilities are limited and users report frustration with customisation gaps in analytics, especially for multi-dimensional views needed by sales leadership.
  • No native customer portal means self-service for external clients is unavailable, forcing teams to use third-party workarounds for basic client-facing functionality.
  • Learning curve for advanced features is steep — power users praise the depth but non-technical team members struggle with automations, custom fields, and workflows.
  • Price-to-value becomes harder to justify as teams scale — the per-seat model can cost more than competitors once the team exceeds a dozen users, pushing some to alternatives like Zoho CRM or Pipedrive.

Choosing

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Fireberry objects map to Salesforce Sales Cloud

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

maps to

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

Fireberry'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

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Fireberry 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

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Fireberry 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

maps to

Salesforce Sales Cloud

Record Type + Sales Process

lossy
Fully supported

Each 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

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

Fireberry 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)

maps to

Salesforce Sales Cloud

Custom Object (__c)

1:1
Fully supported

Fireberry 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)

maps to

Salesforce Sales Cloud

Custom Field (__c)

lossy
Fully supported

Standard 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)

maps to

Salesforce Sales Cloud

Task + Event

1:1
Fully supported

Fireberry 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

maps to

Salesforce Sales Cloud

Multi-Select Picklist or Custom Text

lossy
Fully supported

Fireberry 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)

maps to

Salesforce Sales Cloud

ContentDocument + ContentVersion

1:1
Fully supported

Fireberry 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

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Fireberry 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

maps to

Salesforce Sales Cloud

Workflow Inventory (document only)

lossy
Fully supported

Fireberry 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.

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.

Fireberry logo

Fireberry gotchas

High

Free plan caps at 3 Projects and 100+ Components

Medium

Custom Objects and Components require explicit schema discovery

Medium

Workflow automations do not export as reusable definitions

Low

Billing cycle determines the migration window

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Fireberry's Component system requires explicit schema discovery

    Fireberry's custom object system is user-defined and may include fields not surfaced in a basic export. If we import only the standard Contact, Company, and Deal fields, custom Component data silently drops. We run a schema-discovery step against the customer's Fireberry instance before generating the migration manifest, enumerating every active object and field. This step is non-negotiable and adds one to two weeks to the discovery phase but prevents the data loss that occurs when custom object records are imported into a schema that does not yet exist in Salesforce.

  • Fireberry free tier caps Components and Projects before export

    Fireberry's Personal free tier limits you to 3 Projects and 100+ Components. If the customer has outgrown the free tier and is running the export from a capped account, some objects and fields may be truncated or hidden. We check the customer's current record counts and active Component usage against these limits during scoping. If the customer is on the free tier, we recommend upgrading to Small Team ($15/user/month, 300+ Components) before migration begins so all structures are visible in the export.

  • Activity history requires Bulk API 2.0 to avoid silent drops

    Fireberry activity records (calls, meetings, notes, tasks) can number in the hundreds of thousands for established accounts. Salesforce's CSV-based Data Loader cannot handle this volume without timing out or silently dropping records. We use the Salesforce Bulk API 2.0 with batch chunking, parent-record lookup resolution (WhoId, WhatId, AccountId), and exponential backoff on API limit responses. Without this approach, the activity timeline that sales reps rely on for relationship context is incomplete in Salesforce.

  • Salesforce validation rules and field-level security block imports

    Salesforce orgs commonly enforce validation rules (required formats, conditional required fields, picklist whitelists) and field-level security that can reject a significant percentage of migrating records on first import. We coordinate with the customer's Salesforce admin to grant the migration user the Bulk API permission set and either temporarily disable validation rules during load or add a migration-context bypass condition. Without this coordination, first-import rejection rates of 5-30 percent are common.

  • Workflow automations export as text, not reusable definitions

    Fireberry stores automation rules as trigger-action configurations that cannot be exported as a file and replayed at the destination. We capture each workflow's definition as a structured text record during migration scoping and map each trigger-action pair to a recommended Salesforce Flow equivalent. The customer reviews the translated rules before rebuilding them in Salesforce Flow. This is not a migration of automation code — it is a documentation and handoff step.

Migration approach

Six steps for a successful Fireberry to Salesforce Sales Cloud data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Fireberry logo

Fireberry

Source

Strengths

  • Lego-like modular architecture lets teams build custom objects and fields without forcing a rigid out-of-the-box schema.
  • Built-in call centre with click-to-dial, call logging, and softphone integrations reduces the need for a separate telephony tool.
  • Free tier with no expiration provides a workable entry point for small teams evaluating CRM fit before scaling.
  • Hebrew-language phone support and Israeli market presence make it a preferred option for teams needing local-language assistance.
  • Consolidates sales, marketing, and service into a single platform, reducing the integration overhead common with Salesforce-style stacks.

Weaknesses

  • No native customer portal — external clients cannot self-serve, requiring third-party workarounds for basic portal needs.
  • Reporting and custom analytics are limited compared to platforms like Salesforce or HubSpot, frustrating sales leadership needing multi-dimensional views.
  • API documentation is not publicly documented in the research sources, making programmatic migration planning harder without direct access to the vendor.
  • Advanced features carry a steeper learning curve that disproportionately affects non-technical team members on the sales or support side.
  • Limited third-party review depth — only 25 verified G2 reviews at the time of research — makes independent feature validation difficult for prospective migrators.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 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 Fireberry and Salesforce Sales Cloud.

  • Object compatibility

    B

    1 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

    Fireberry: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Fireberry to Salesforce Sales Cloud 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 Fireberry to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Fireberry to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between four and six weeks for accounts under 20,000 Contacts and 4,000 Deals with no custom objects or complex multi-pipeline structures. Migrations with custom objects, multiple Fireberry Pipelines, large activity histories (over 200,000 engagement records), or simultaneous Service Cloud scope move to ten to sixteen weeks because of schema pre-creation, Bulk API time, and Salesforce configuration depth. The schema discovery step (step one) adds one to two weeks and is required regardless of migration size because Fireberry's Component system does not have a publicly documented schema.

Adjacent paths

Related migrations to explore

Ready when you are

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