CRM migration

Migrate from DinamikCRM to Microsoft Dynamics 365 Sales

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

DinamikCRM logo

DinamikCRM

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

80%

8 of 10

objects map 1:1 between DinamikCRM 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 DinamikCRM to Microsoft Microsoft Dynamics 365 Sales is a schema-translation migration. DinamikCRM organizes data around a per-account module graph with no published bulk export endpoint, while Microsoft Dynamics 365 Sales uses the Lead-Contact-Account-Opportunity model built on Dataverse. We begin every engagement by discovering the live module list and field definitions for the specific account, since DinamikCRM's architecture allows customers to create and modify modules freely. No two DinamikCRM accounts share an identical schema. We export standard modules (Contacts, Companies, Leads, Activities) through paginated API calls, map them to their Dataverse equivalents, and handle custom module translation during the scoping phase. Module-level automation rules, notification triggers, and field-level validations do not export via the API as data. We deliver a written inventory of these for the customer's admin to rebuild in Dynamics 365 workflows or Power Automate post-migration. Owner records migrate by email lookup against the destination tenant's user directory.

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

DinamikCRM logo

DinamikCRM

What's pushing teams away

  • Businesses scaling beyond SME size report that the platform lacks the advanced reporting and enterprise automation features available in Salesforce or HubSpot.
  • Customers needing deep third-party integrations find the native integration ecosystem more limited compared to larger CRM platforms.
  • Some users note that while modules are customizable, advanced customizations may require support involvement rather than self-service configuration.

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 DinamikCRM objects map to Microsoft Dynamics 365 Sales

Each row shows how a DinamikCRM 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.

DinamikCRM

Contact

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

DinamikCRM Contact records map directly to Microsoft Dynamics 365 Sales Contact. Standard fields (full name, email, phone, address, company link) transfer to the Dataverse contact entity via the Web API. We resolve the parent Company reference during import so that each Contact is linked to the correct Account record. Any DinamikCRM custom fields on the Contact module map to custom contact fields (new_customfield__c) that we pre-create in Dataverse before migration.

DinamikCRM

Company

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

DinamikCRM Company records map to Microsoft Dynamics 365 Sales Account. The accountname and website fields transfer directly. Account is the parent of Contact and the lookup target for Opportunity (WhatId). We import Accounts first in dependency order so that AccountId is available at Contact and Opportunity insert time, avoiding orphaned records.

DinamikCRM

Lead

maps to

Microsoft Dynamics 365 Sales

Lead

1:1
Fully supported

DinamikCRM Lead records map to Microsoft Dynamics 365 Sales Lead. Lead status values from DinamikCRM map to Dynamics 365 leadstatus optionset integers; mismatches are corrected in a pre-migration transform step. Lead scoring or grade fields from DinamikCRM migrate to custom numeric fields on the Lead entity for reporting consistency.

DinamikCRM

Deal

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

DinamikCRM Deal records map to Microsoft Dynamics 365 Sales Opportunity. The deal value and stage name transfer to estimatedvalue and stagecode respectively. We resolve the parent Contact (潜在的客户) and Account references to populate the Opportunity WhatId and CustomerId fields. Closed-won and closed-lost outcomes from DinamikCRM map to Microsoft Dynamics 365 Sales Process stage outcomes.

DinamikCRM

Pipeline

maps to

Microsoft Dynamics 365 Sales

Sales Process + Stage

lossy
Fully supported

DinamikCRM pipeline stages map to a Microsoft Dynamics 365 Sales Process with corresponding stagecode values. Each stage from DinamikCRM becomes a stage in the sales process; stage probability percentages transfer to stageprobability on the ProcessStage entity. We configure the Sales Process in Dataverse during the schema design phase before any Opportunity data loads.

DinamikCRM

Activity

maps to

Microsoft Dynamics 365 Sales

ActivityPointer / Task / Email

1:many
Fully supported

DinamikCRM Activity records cover calls, emails, meetings, and tasks under a single object type. We split them at migration time by activity type identifier: email-type activities become EmailMessage records linked to an ActivityPointer; call and task activities become Task records with the appropriate TaskSubtype; meeting activities become Event records. All activity records resolve their Regarding (objectid) to the correct Contact, Account, or Opportunity in the destination.

DinamikCRM

Appointment

maps to

Microsoft Dynamics 365 Sales

Appointment (Event)

1:1
Fully supported

DinamikCRM Appointment records map to Microsoft Dynamics 365 Sales Event (Appointment). Start time, end time, location, description, and attendee list transfer to the corresponding Event fields. Attendees resolve to Contact or User records via email lookup, creating EventRelation records to preserve the attendee relationship in Dynamics 365.

DinamikCRM

Invoice

maps to

Microsoft Dynamics 365 Sales

Invoice

1:1
Fully supported

DinamikCRM Invoice records with line items, totals, and status map to Microsoft Dynamics 365 Sales Invoice. The customer account and product line items resolve to existing Account and Product2 records in the destination. Financial fields are flagged during scoping for customer validation since tax, currency, and discount logic may differ between the two platforms and require post-migration review.

DinamikCRM

Custom Modules

maps to

Microsoft Dynamics 365 Sales

Custom Entities

1:1
Mapping required

DinamikCRM custom modules (a frequent pattern in this platform) are discovered during the scoping phase by enumerating the live module list via the API discovery endpoint. Each active custom module maps to a custom Dataverse entity (new_modulename) with fields translated to matching Dataverse types. Custom entity relationships with standard objects (Contact, Account, Opportunity) are pre-configured as Dataverse lookup relationships before data migration begins. This step adds time to scoping for accounts with more than five active custom modules.

DinamikCRM

User / Owner

maps to

Microsoft Dynamics 365 Sales

User

1:1
Fully supported

DinamikCRM user accounts and record owners map to Microsoft Dynamics 365 Sales User records by email address lookup. Owners assigned on Contact, Account, Opportunity, and Activity records resolve to the corresponding Dynamics 365 UserId. Any DinamikCRM owner without a matching user in the destination tenant is placed in a reconciliation queue for the customer's admin to provision before record import resumes.

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.

DinamikCRM logo

DinamikCRM gotchas

High

Custom module schema varies per account

Medium

API documentation does not disclose rate limits

Medium

No documented bulk export endpoint

Medium

Module-level business logic may not transfer

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

  • DinamikCRM custom module schema must be discovered per account

    DinamikCRM's architecture permits customers to create and freely modify modules, meaning no two accounts share an identical field schema. The standard DinamikCRM module queries miss customer-specific modules entirely. We begin every engagement with a live API discovery phase that enumerates active modules and their field definitions before any extraction begins. Skipping this step produces incomplete exports that require a second migration pass to correct, adding weeks to the project timeline.

  • Dynamics 365 requires custom entities pre-created before data load

    Microsoft Dynamics 365 Sales built on Dataverse does not auto-create entity schemas from inbound data. If DinamikCRM has active custom modules, we must design the equivalent Dataverse custom entities (with field types, relationships, and option sets) and deploy them to the target environment before any record import. This adds a schema deployment step to the migration sequence that must complete in a sandbox before production migration begins. Without pre-created entities, custom module data cannot be imported and will be deferred until schema is available.

  • No bulk export endpoint in DinamikCRM; pagination required

    The DinamikCRM API provides record-level endpoints without a bulk or batch export mechanism. For accounts with tens of thousands of records, single-record pagination can be slow and susceptible to undocumented rate limit responses (HTTP 429). We implement cursor-based pagination where available, parallel batch extraction within safe per-object limits, and exponential backoff on rate limit responses. This extends extraction timelines for large accounts but ensures complete record sets without silent truncation.

  • Option set integer value mismatches between platforms require pre-migration transform

    Microsoft Learn documentation on Dataverse field mapping states that option set fields require matching integer values on both source and target. DinamikCRM option set values are defined per-module and may use different integer codes than the Dynamics 365 optionset definitions. We run a pre-migration transform that maps DinamikCRM option integers to the correct Dynamics 365 optionset integer values before insert. Mismatches at insert time cause record rejection. We validate option set mappings during sandbox migration before production cutover.

  • Module-level business logic does not transfer as data

    Automation rules, notification triggers, and field-level validations configured within DinamikCRM modules are application-layer constructs that export only as record data, not as configuration. Microsoft Dynamics 365 Sales handles workflow automation through Power Automate or Dynamics 365 workflows as separate cloud services with different trigger models. We export the underlying records completely but flag every identified automation rule during scoping and deliver a written map with recommended Power Automate or workflow equivalents for the customer's admin to rebuild post-migration.

Migration approach

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

  1. Module discovery and scoping

    We connect to the DinamikCRM API and enumerate every active module and field definition for the specific account using the platform's discovery endpoints. We extract record counts per module, identify custom modules and their relationships to standard objects, and document any module-level business logic or automation rules encountered. This phase produces the migration scope document that defines the exact schema we will build in Dynamics 365 Dataverse and the extraction strategy for each object type.

  2. Schema design in Dynamics 365 Dataverse

    We design the destination schema in Dataverse to match the discovered DinamikCRM modules. This includes provisioning standard entities (Contact, Account, Lead, Opportunity, Task, Event, EmailMessage), creating custom entities for any DinamikCRM custom modules, configuring entity relationships (lookup, one-to-many), creating option sets for picklist fields, and designing the Microsoft Dynamics 365 Sales Process with stage values corresponding to the DinamikCRM pipeline. Schema is deployed to a Dynamics 365 Sandbox environment first for validation before any production migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into the Dynamics 365 Sandbox using production-like data volumes extracted from DinamikCRM. The customer's administrator reconciles record counts against the source system, spot-checks 25-50 records per object type for field-level accuracy, and validates that custom module data landed in the correct Dataverse entities. Schema corrections, option set mapping fixes, and relationship adjustments happen during this phase. Production migration does not begin until the sandbox sign-off is received.

  4. Owner and user provisioning

    We extract every distinct DinamikCRM user referenced as a record owner and match them by email address against the destination Dynamics 365 tenant's user directory. Users without a matching record are placed in a reconciliation queue. The customer's Dynamics 365 administrator provisions any missing users in the destination tenant before record import resumes. This step is a prerequisite because OwnerId is a required reference on most standard entities in Dynamics 365.

  5. Production migration in dependency order

    We run the production migration in strict record-dependency order: Accounts (from Companies), Contacts (with AccountId resolved), Leads, Opportunities (with AccountId and OwnerId resolved), Activities (Tasks, Events, EmailMessages via Dataverse Web API), Invoices, and custom entity data last. Each phase emits a reconciliation row-count report before the next phase begins. We monitor for HTTP 429 responses on the DinamikCRM API and apply exponential backoff dynamically. Custom module extraction runs as a separate phase after standard objects are validated, using the pre-created custom Dataverse entities.

  6. Cutover, delta sync, and automation handoff

    We freeze DinamikCRM writes during the cutover window, run a final delta migration to capture any records modified during migration, then mark Dynamics 365 as the system of record. We deliver the DinamikCRM automation and business logic inventory document to the customer's administrator for rebuild in Power Automate or Dynamics 365 workflows. We support a one-week hypercare window for reconciliation issues. We do not rebuild DinamikCRM module-level automations as Power Automate flows within migration scope; that work is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

DinamikCRM logo

DinamikCRM

Source

Strengths

  • 40+ swappable modules covering CRM, sales, support, planning, and customer management.
  • Module-level customization allows adding, removing, and tailoring functionality per business need.
  • Fast screen performance reported consistently across long-term user reviews.
  • Responsive support team that adapts the platform for non-standard business sectors.
  • 14-day free trial with no credit card required and unlimited module access during evaluation.

Weaknesses

  • Enterprise-grade reporting and analytics capabilities lag behind major CRM platforms like Salesforce and HubSpot.
  • Integration ecosystem is narrower, limiting connections to third-party tools common in larger organizations.
  • Custom module structures vary per customer, requiring manual schema discovery during each migration project.
  • Limited public documentation on API rate limits and bulk export mechanisms compared to major platforms.
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 DinamikCRM 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

    DinamikCRM: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your DinamikCRM 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 DinamikCRM to Microsoft Dynamics 365 Sales data migrations

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

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Most DinamikCRM migrations land between two and four weeks for accounts with fewer than 15,000 total records, no active custom modules, and a single active pipeline. Accounts with multiple active custom modules, high activity volumes (over 50,000 activity records), or multi-pipeline structures extend to six to ten weeks because the schema discovery phase identifies more mapping work and custom entity deployment in Dataverse adds steps. Discovery of custom modules in DinamikCRM adds one to two weeks to scoping compared to platforms with fixed schemas.

Adjacent paths

Related migrations to explore

Ready when you are

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

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