CRM migration

Migrate from Kinabase to Microsoft Dynamics 365 Sales

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

Kinabase logo

Kinabase

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

63%

5 of 8

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

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Kinabase stores data as user-defined Collections of Records with typed Fields and cross-collection Linked References. Microsoft Microsoft Dynamics 365 Sales uses a relational model built around Accounts, Contacts, Leads, and Opportunities with enforced field types and relationship cardinality. These are fundamentally different data architectures, which means every migration requires a schema audit before any record moves. We extract each Kinabase Collection as a separate entity, map its Fields to typed Dynamics 365 fields, resolve Linked Collection references to Account or Contact lookups using parent-record lookup resolution, and evaluate any computed formula Fields at migration time before writing static values. Activities migrate as Dataverse Activities (tasks, appointments, emails). We do not migrate Kinabase Workflows, Stages, or Views; these are delivered as a written inventory for the customer's admin to rebuild in Power Automate or the Microsoft Dynamics 365 Sales app.

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

Kinabase logo

Kinabase

What's pushing teams away

  • API access is not self-service — Kinabase requires contacting [email protected] to obtain credentials, which adds friction for teams wanting programmatic access or automated migration pipelines.
  • No public pricing — the absence of published tier information makes it difficult to compare cost against alternatives and creates procurement friction, especially for larger teams.
  • Limited ecosystem and community — with no dedicated public forum or large third-party app marketplace, teams cannot easily find plugins, consultants, or peer support when the platform hits its limits.
  • Bulk data operations are slow under the 100 req/min rate limit — exporting or loading large record sets through the API requires throttling logic and pagination handling that adds migration complexity.
  • Workflow automation capabilities may be gated by subscription tier — some advanced automation features referenced in the platform may not be available on lower plans, creating feature surprises during licensing reviews.

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 Kinabase objects map to Microsoft Dynamics 365 Sales

Each row shows how a Kinabase 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.

Kinabase

Collection

maps to

Microsoft Dynamics 365 Sales

Account, Contact, or Custom Entity

lossy
Fully supported

Kinabase Collections are the top-level entity containers and map to one of three Dynamics 365 targets depending on the Collection's semantic role: Organizations, Companies, or Clients map to Account; People, Contacts, or Individuals map to Contact; anything that represents a project, case, subscription, or custom concept with no standard Dynamics 365 equivalent maps to a custom entity. We pre-create the destination schema during scoping, deploy to a Sandbox for validation, and confirm the Collection-to-Object mapping with the customer's admin before export begins. Collections with fewer than ten records that act as reference data (dropdown sources, category lists) may be delivered as picklist values instead of separate records.

Kinabase

Record

maps to

Microsoft Dynamics 365 Sales

Account, Contact, Lead, or Opportunity record

1:1
Fully supported

Individual Records map to the Dynamics 365 record type determined by their parent Collection's mapping. We preserve all typed field values including nulls and empty strings, applying type coercion where Kinabase field types differ from Dynamics 365 field types (e.g., Kinabase multi-select dropdowns map to Dynamics 365 multi-select picklist or to a text field with delimited values). Records are imported in dependency order: Account records first, then Contact records with resolved AccountId lookups, then custom entity records with their own lookup chains.

Kinabase

Standard Field (text, number, date, email, phone)

maps to

Microsoft Dynamics 365 Sales

Standard or Custom Field on target object

1:1
Fully supported

Kinabase Fields with standard types (text, number, date, email, phone, URL) map to equivalent Dynamics 365 field types. Email fields map to email type; phone fields map to telephone type. We preserve the field label as the Dynamics 365 display name and use a sanitized version of the Kinabase field name as the API name. Required-field enforcement in Dynamics 365 requires the corresponding Kinabase field to have been required in the Collection; we flag any mismatch during the pre-migration audit.

Kinabase

Dropdown Field

maps to

Microsoft Dynamics 365 Sales

Picklist or Multi-select Picklist

1:1
Fully supported

Kinabase dropdown Fields map to Dynamics 365 picklist fields, with the dropdown options becoming picklist values. We create the picklist values in the destination during schema deployment, preserving the display label and optionally the sort order. Multi-select dropdowns in Kinabase map to multi-select picklist in Dynamics 365. If the target Dynamics 365 edition does not support multi-select picklist (which is available from Microsoft Dynamics 365 Sales Professional onward), we fall back to a text field with comma-delimited values.

Kinabase

Linked Collection Field

maps to

Microsoft Dynamics 365 Sales

Lookup Field or Text (External ID)

1:1
Fully supported

A Linked Collection field (e.g., a 'Client' field in a 'Projects' Collection pointing to a 'Clients' Collection record) maps to a Dynamics 365 Lookup field on the target entity, pointing to the resolved Account, Contact, or custom entity record. We export linked records in dependency order so that the parent record exists before the child record is loaded. For Linked Collection fields pointing to Collections that map to custom entities, we verify the custom entity has been provisioned before loading begins. If the destination org does not support the lookup relationship type, we fall back to storing the source Kinabase record ID as a text External ID field.

Kinabase

Computed Field

maps to

Microsoft Dynamics 365 Sales

Standard Text or Number Field

lossy
Fully supported

Kinabase Computed Fields evaluate a formula at read time; the formula itself is not persistent data. We evaluate each computed expression at migration time using the values present in the source record and write the resulting value as a static field in Dynamics 365. The formula definition is not transferred because Dynamics 365 does not support importing formula definitions from external systems. We flag all computed fields during the pre-migration audit and document the formula logic in the field mapping deliverable so the customer's admin can recreate it as a Dynamics 365 calculated field or Power Automate flow if needed.

Kinabase

Stage or Status Field

maps to

Microsoft Dynamics 365 Sales

Opportunity Stage or Custom Status Field

lossy
Fully supported

Kinabase Collections with Stage progression (Draft, In Progress, Approved, Closed) map to a Dynamics 365 Opportunity's stage field if the Collection represents a sales pipeline, or to a custom status field on the target entity otherwise. We extract the distinct stage values, create corresponding stage entries in the Microsoft Dynamics 365 Sales Process, and preserve the probability percentage if present in Kinabase. Stage progression rules and automation triggers in Kinabase do not migrate.

Kinabase

Activity (email, call, meeting, task)

maps to

Microsoft Dynamics 365 Sales

EmailMessage, Task, or Appointment

1:1
Fully supported

Kinabase activity records linked to a Collection record map to Dynamics 365 activity entities: email activities map to EmailMessage with the email body and recipients; call records map to Task with TaskSubtype=Call; meeting records map to Appointment with start and end times; standalone task records map to Task with Status, Priority, and ActivityDate preserved. We resolve the Kinabase activity's linked record to the migrated Dynamics 365 record via the Kinabase record ID retained in an external ID field, then set the Regarding (object) lookup on the activity to the migrated record.

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.

Kinabase logo

Kinabase gotchas

High

API access gated behind a support request

Medium

100 req/min rate limit slows large exports

Medium

Computed Field values are not stored data

Medium

Linked collection fields require relationship re-establishment

Low

Only administrators can export all data

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

  • API access requires vendor coordination before migration begins

    Kinabase does not provide a self-service developer portal for API credential generation. Teams must contact [email protected] to obtain a Bearer token, which can add days to the project timeline if not initiated during scoping. We begin API access procurement at the start of discovery and fall back to the admin CSV export panel if credentials are delayed. Without credentials, the migration cannot run unattended and relies on manual export batches, which increases timeline risk for large datasets. We flag this prerequisite explicitly in the project charter.

  • Linked Collection field dependencies require export sequencing

    Kinabase Collections with Linked Collection fields (e.g., Projects pointing to Clients) create a dependency graph that must be resolved before import. If a child record references a parent record that has not yet been created in Dynamics 365, the Lookup field insert fails. We export in dependency order by building a directed graph of Collection relationships, loading parent entities first, and running a validation pass to confirm all referenced records exist before child record loading begins. Collections with circular references are flagged for manual resolution during scoping.

  • Computed Field formulas do not migrate, only the evaluated result

    Kinabase Computed Fields store both the formula and its evaluated result. When migrating to Dynamics 365, only the computed result transfers as a static field value. The formula definition is lost. If the customer's Kinabase instance uses computed fields for critical business logic (e.g., derived pricing, weighted scores, compliance flags), we evaluate each formula at migration time, document the formula and its logic in the field mapping deliverable, and recommend that the customer's Dynamics 365 admin recreates the logic as a calculated field or Power Automate flow post-migration.

  • Kinabase 100 req/min rate limit requires backoff logic for large exports

    The Kinabase API enforces a hard limit of 100 requests per minute. Large Collections with thousands of Records paginated at 100 records per page will exhaust the rate limit during export. We implement exponential backoff with jitter and pre-scope the export volume to estimate duration before migration begins. For Kinabase instances with more than 50,000 total Records across all Collections, we may recommend the admin CSV export as the primary data source instead of the API, because the CSV export does not count against the rate limit.

Migration approach

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

  1. Discovery and API access procurement

    We audit the Kinabase instance for all Collections, Fields, Linked Collection relationships, computed field definitions, activity records, and admin access confirmation. We simultaneously initiate the API credential request with [email protected] to begin the access provisioning clock. We also confirm the target Microsoft Dynamics 365 Sales edition (Essential, Professional, or Enterprise) and identify whether a Sandbox environment is available for validation. The discovery output is a written Collection inventory with field-level type mapping and a data volume estimate per Collection.

  2. Schema design and dependency graph

    We design the destination Dynamics 365 schema by mapping each Kinabase Collection to an Account, Contact, Lead, Opportunity, or custom entity. We build a dependency graph from all Linked Collection fields to determine the record load order. We create custom fields in the destination Sandbox with correct types (picklist values, multi-select picklists, lookup relationships, calculated fields for computed fields that can be recreated). The schema design document is reviewed with the customer's admin before deployment.

  3. Sandbox migration and reconciliation

    We run a full migration into the Dynamics 365 Sandbox using production-like data volumes. The customer's admin reviews record counts, spot-checks twenty to thirty records for field accuracy, and validates that Linked Collection lookups resolved correctly. Any field mapping corrections, missing picklist values, or schema gaps are addressed in this phase. Sign-off on the Sandbox migration unlocks the production migration phase.

  4. Owner and user reconciliation

    We extract all Kinabase users referenced as record owners or assigned users and match them by email against the Dynamics 365 User table. Users without a matching Dynamics 365 account go to a reconciliation queue for the admin to provision. Migration cannot proceed past the production load phase until all referenced owners have a valid Dynamics 365 User record because OwnerId is a required reference on standard objects.

  5. Production migration in dependency order

    We execute the production migration in sequenced phases: first, parent entities (Accounts, Contacts, custom entities that have no inbound lookups); second, child entities with resolved parent lookups; third, activity records linked to migrated records via external ID resolution. We use the Dataverse Bulk API 2.0 for high-volume loads with batch chunking, exponential backoff on 429 responses, and per-phase row-count reconciliation before proceeding to the next phase. Kinabase Workflows, Stages, and Views are captured as a structured written inventory and handed off to the customer's admin for rebuild in Power Automate or Microsoft Dynamics 365 Sales .

  6. Cutover, delta sync, and handoff

    We freeze Kinabase writes during the cutover window, run a final delta migration of any records modified since the last sync, then enable Microsoft Dynamics 365 Sales as the system of record. We deliver the Workflow and Stage inventory document with recommended Power Automate equivalents for each Kinabase automation. We provide a one-week hypercare window for reconciliation issues raised by the sales team. Post-migration admin rebuild work (Power Automate flows, Dynamics 365 workflows, report rebuilds) is outside standard scope and can be scoped as a separate engagement.

Platform deep dives

Context on both ends of the pair

Kinabase logo

Kinabase

Source

Strengths

  • Highly customisable data model with no fixed object schema
  • Workflow builder with stage progression, triggers, and role-based permissions
  • CSV export by administrators covers all Collections without contacting support
  • Native Microsoft 365 integration (Outlook, SharePoint, Entra ID SSO)
  • Flexible pricing model — starts simple and scales with added features

Weaknesses

  • API access requires a support request, not self-service provisioning
  • Rate limit of 100 requests per minute makes large exports time-consuming
  • No public pricing tiers — procurement and budget forecasting require a sales conversation
  • Limited ecosystem, community, and third-party app support
  • Custom schema means every migration requires field-level mapping rather than a standard object import
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 Kinabase 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

    Kinabase: 100 requests per minute.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Kinabase 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 Kinabase to Microsoft Dynamics 365 Sales data migrations

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

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Migrations under 10,000 total Records across five or fewer Collections with straightforward field mapping complete in three to five weeks. Projects with complex Linked Collection dependency chains, computed field evaluation across large datasets, or more than ten Collections requiring custom entity provisioning in Dynamics 365 extend to seven to eleven weeks. The API access procurement step can add three to five business days to the front end if Kinabase support requires time to provision credentials.

Adjacent paths

Related migrations to explore

Ready when you are

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Land in Microsoft Dynamics 365 Sales , intact.

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