CRM migration

Migrate from Fireberry to Microsoft Dynamics 365 Sales

Field-level mapping, validation, and rollback between Fireberry and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .

Fireberry logo

Fireberry

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

75%

6 of 8

objects map 1:1 between Fireberry and Microsoft Dynamics 365 Sales .

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Fireberry to Microsoft Microsoft Dynamics 365 Sales is a schema-translation migration. Fireberry's Component-based system lets teams build custom objects and fields without enforcing a rigid structure, while Microsoft Microsoft Dynamics 365 Sales uses a structured Dataverse data model where every entity, relationship, and custom field must be explicitly provisioned before data loads. We run a full schema discovery against the customer's live Fireberry instance before generating a migration manifest, listing every active object and field so nothing is missed during export. Standard CRM records — Contacts, Companies, Deals, Activities, and Custom Objects — migrate in dependency order with owner lookups resolved before import. Fireberry Workflows, automations, and report configurations do not migrate as code; we deliver a written inventory of every active rule with a recommended Power Automate equivalent for the customer's admin to rebuild 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

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

What's pulling them in

  • Deep Microsoft 365, Teams, and Outlook integration makes Microsoft Dynamics 365 Sales a natural fit for Microsoft-first organizations already invested in that ecosystem
  • Sales Enterprise and Premium tiers offer unlimited custom tables and advanced AI-driven forecasting and predictive analytics not available in lower tiers
  • Professional tier pricing at $65 per user per month offers a lower entry cost than Salesforce for SMB teams with straightforward CRM needs
  • Flexible customization options allow businesses to build bespoke apps, tailor forms and views, and integrate with other Dynamics 365 modules
  • Microsoft Copilot AI tools are embedded directly into the sales workflow on Enterprise and Premium, automating routine tasks and providing deal intelligence

Object mapping

How Fireberry objects map to Microsoft Dynamics 365 Sales

Each row shows how a Fireberry object lands in Microsoft Dynamics 365 Sales , 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

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

Fireberry Contact records map directly to Microsoft Dynamics 365 Contact. We extract all standard fields — Full Name, Email, Phone, Address, Owner — and custom component fields that extend the Contact entity. The Contact is imported after Account so that the ParentAccountId lookup is satisfied at insert time. Active Owner resolution by email prevents orphaned contact records.

Fireberry

Company

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Fireberry Company records map to Dynamics 365 Account. The Company name becomes the Account Name, industry and employee count map to matching Account fields, and address data migrates to the Account address composite. Account is the first object imported in the dependency chain because Contact, Opportunity, and any custom object lookups reference it.

Fireberry

Deal

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

Fireberry Deals map to Dynamics 365 Opportunity. The Deal amount migrates to EstimatedRevenue, stage maps to a configured Sales Process stage name, and the pipeline assignment maps to a Microsoft Dynamics 365 Sales Process or Record Type that we provision during schema setup. We preserve any custom deal fields as custom Opportunity attributes.

Fireberry

Pipeline Stage

maps to

Microsoft Dynamics 365 Sales

Sales Process + Stage

lossy
Fully supported

Fireberry pipeline stage definitions — including stage names, ordering, and probabilities — are extracted as structured data during schema discovery and recreated as Microsoft Dynamics 365 Sales Process stage categories. Each stage probability migrates to the StageProbability field on the sales process. Stages with zero associated Deals are flagged in the migration manifest for the customer's admin to clean up.

Fireberry

Custom Object (Component)

maps to

Microsoft Dynamics 365 Sales

Custom Entity (Dataverse)

1:1
Fully supported

Fireberry custom Components that function as separate objects map to Dataverse custom entities in Microsoft Dynamics 365 Sales . We pre-create the destination entity schema — including all custom attributes, lookup relationships to standard entities, and option-set fields — before any data import. Any lookup dependencies between custom objects are resolved in the same dependency-ordered sequence used for standard entities.

Fireberry

Activity: Call, Meeting, Note, Task

maps to

Microsoft Dynamics 365 Sales

PhoneCall, Appointment, Note, Task

1:1
Fully supported

Fireberry activity records — calls, meetings, notes, and tasks — map to their respective Dynamics 365 activity entities: PhoneCall, Appointment, Note, and Task. Each record carries its original timestamp, owner reference, and linked Contact or Account lookup. Call duration and disposition migrate as custom attributes on PhoneCall.

Fireberry

Tag / Label

maps to

Microsoft Dynamics 365 Sales

Custom Text Field or Power Automate Tag

lossy
Fully supported

Fireberry tags on Contact and Company records export as flat string lists per record. We map tags to a custom multi-select text field on the Account or Contact entity. If the customer uses Dynamics 365's native Topic tagging, we use TopicAssignment instead. The chosen strategy is confirmed during scoping.

Fireberry

User / Owner

maps to

Microsoft Dynamics 365 Sales

User

1:1
Fully supported

Fireberry Owner records map to Dynamics 365 User by email match. We extract every Owner referenced across Contact, Company, Deal, Activity, and custom object records. Any Fireberry Owner without a matching Dynamics 365 User is placed in a reconciliation queue for the customer's admin to provision before the record import phase continues.

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

Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales gotchas

High

Professional tier 15-table custom table limit blocks migrations

High

October 2024 pricing increase applies at renewal for all customers

Medium

Custom fields must be created in the UI before API writes

Medium

Power Platform request limits apply to bulk migrations

Medium

Activity records orphaned to inactive owners fail silently

Pair-specific challenges

  • Fireberry's Component system requires explicit schema discovery

    Fireberry's Component architecture is user-defined and may include custom fields and objects that do not surface in a basic export. If we import only standard Contact, Company, and Deal fields, custom component data silently drops. We run a schema-discovery step against the customer's live Fireberry instance before generating the migration manifest, listing every active object, field, and relationship so nothing is missed during the data pull. This step adds one to three days to the scoping phase but prevents data loss.

  • Custom field type mapping is required before Dataverse import

    Microsoft Dynamics 365 Sales requires every field to have a defined type at the destination before data loads. Fireberry custom Components can include fields that behave like picklists, multi-select picklists, formulas, or rollups without enforcing a typed schema. We map each Fireberry custom field to the closest Dataverse attribute type — Single Line of Text, Whole Number, Decimal Number, Option Set, Two Options, or Multi-Select Option Set — and flag any that cannot be directly typed for the customer's admin to resolve before import.

  • Fireberry Workflow automations do not export as reusable definitions

    Fireberry stores automation rules as trigger-action configuration that cannot be exported as a file and replayed in Dynamics 365. We capture each workflow's definition as a structured text record during migration scoping — trigger type, conditions, and actions — and deliver a written inventory with a recommended Power Automate equivalent. The customer's admin rebuilds the automations post-migration using the inventory as their specification. We do not rebuild Power Automate flows inside the migration scope.

  • Attachment files require re-upload after migration

    Fireberry attachments stored against records are exported as download references. Files hosted internally by Fireberry require re-upload to Dynamics 365 SharePoint or Dataverse file storage after migration. We preserve the original download URLs as a reference field so the customer's admin can validate and re-attach files manually or via a separate file-migration step. This is a manual remediation task not included in the standard migration scope.

  • Free plan component limits affect what is visible in exports

    Fireberry's Personal free tier caps at 3 Projects and 100+ Components. If the customer has outgrown the free tier and not upgraded, some custom objects and fields may be hidden from the export. We check the customer's current record counts and active component usage during scoping. If the customer is on the free plan, we recommend upgrading to Small Team (300+ Components) before migration begins so all objects and fields are accessible in the export.

Migration approach

Six steps for a successful Fireberry to Microsoft Dynamics 365 Sales data migration

  1. Schema discovery and scoping

    We connect to the customer's live Fireberry instance and enumerate every active object, field, relationship, and workflow definition. We extract the full Component inventory — standard CRM objects plus any custom Component types — and generate a written migration manifest listing each entity, field count, record volume estimate, and dependency order. This step resolves the most common migration failure: silently dropped custom fields. We also review the current Fireberry plan tier to confirm all objects are accessible in the export.

  2. Dynamics 365 environment provisioning

    We configure the destination Microsoft Microsoft Dynamics 365 Sales environment: we provision custom entities and attributes to match the discovered Fireberry schema, create the Account-Contact-Opportunity relationship structure, configure Sales Processes and stage categories matching the Fireberry pipeline definitions, set up Teams and Business Units for owner hierarchy matching, and create a migration-specific security role that bypasses field-level restrictions during data load.

  3. Sandbox validation

    We run a full migration into a Dynamics 365 Sandbox environment using production-like data volume. The customer's RevOps lead reviews record counts across all entities, spot-checks 20-30 records against the Fireberry source for field-level accuracy, and validates that owner assignments, date fields, and lookup references are correct. Any field mapping corrections, validation rule conflicts, or required field additions are resolved in the sandbox before production migration begins.

  4. Owner reconciliation

    We extract every distinct Fireberry Owner referenced across Contact, Company, Deal, Activity, and custom object records and match by email against the Dynamics 365 User table. Owners without a matching User go to a reconciliation queue. The customer's Dynamics 365 admin provisions any missing Users — active for current team members, inactive for historical owners whose records still carry their attribution. Migration cannot proceed past this step because OwnerId references are required on most standard and custom entities.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Fireberry Companies), Contacts (with ParentAccountId resolved), Opportunities (with AccountId, OwnerId, and Sales Process resolved), Activity history (PhoneCall, Appointment, Note, Task via Dataverse API with chunking and backoff), Custom entities (last, because they may reference standard entities as lookups). Each phase emits a row-count reconciliation report. We freeze Fireberry writes during the final cutover delta to capture any records modified during the migration window.

  6. Cutover, validation, and workflow handoff

    We enable Microsoft Dynamics 365 Sales as the system of record after the final delta migration and validation pass. We deliver the Workflow and automation inventory document to the customer's admin team with trigger-action mappings and recommended Power Automate equivalents. We support a five-business-day hypercare window to resolve post-migration reconciliation issues raised by the sales team. We do not rebuild Fireberry Workflows as Power Automate flows or Dynamics 365 classic Workflows inside the migration scope.

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.
Microsoft Dynamics 365 Sales  logo

Microsoft Dynamics 365 Sales

Destination

Strengths

  • Native integration with Microsoft 365, Teams, Outlook, and SharePoint for unified productivity workflow
  • Unlimited custom tables and complex workflows on Enterprise tier enable deep customization for complex sales processes
  • AI-driven predictive analytics and deal intelligence on Enterprise and Premium tiers help sales teams prioritize pipeline
  • Dataverse unified data layer provides a consistent API and data model across all Dynamics 365 and Power Platform apps
  • Strong security model with Field-Level Security and Record Ownership rules for governance-conscious enterprises

Weaknesses

  • Sales Professional tier caps custom tables at 15, creating a migration ceiling for highly customized SMB environments
  • October 2024 pricing increases of $15 per user across all tiers apply to existing customers upon renewal
  • Implementation typically requires costly certified partners, adding 30–50% to total project cost
  • Updates and platform releases can disrupt customizations and plugins, requiring regression testing after each wave
  • Non-Microsoft integrations require additional configuration or middleware, limiting flexibility for heterogeneous tech stacks

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 Microsoft Dynamics 365 Sales .

  • 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 Microsoft Dynamics 365 Sales 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 Microsoft Dynamics 365 Sales data migrations

Answers to the questions buyers ask most during Fireberry to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Most migrations complete in two to four weeks for accounts under 10,000 Contacts and 2,000 Deals with a straightforward schema. Migrations with extensive custom Components, large activity histories, multiple Fireberry Projects, or complex lookup relationships between custom objects move to six to eight weeks because of the schema discovery phase, custom field type mapping, and Dataverse API chunking for large activity sets.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Fireberry.
Land in Microsoft Dynamics 365 Sales , intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

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