CRM migration

Migrate from Vaulta to Microsoft Dynamics 365 Sales

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

Vaulta logo

Vaulta

Source

Microsoft Dynamics 365 Sales

Destination

Microsoft Dynamics 365 Sales  logo

Compatibility

92%

11 of 12

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

Complexity

CModerate

Timeline

48–96 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Vaulta — the Veeva Vault platform used heavily in life sciences and pharma for document control and product content management — stores data as vault objects with a flat document hierarchy and vault-specific relationship types. Dynamics 365 Sales stores data as CRM entities in Microsoft Dataverse with a structured relational model (Accounts, Contacts, Leads, Opportunities, Products). These models are fundamentally different: Vaulta is organized around document vaults and versioned content; D365 Sales is organized around the buyer lifecycle and sales process. FlitStack AI bridges this gap by reading Vaulta's vault object API (v28+), mapping each vault object to the nearest D365 entity, decomposing Vaulta's relationship graph into D365's lookup and many-to-many models, and reconstructing document metadata as custom fields on the relevant D365 records. We handle the API pagination and retry logic against Vaulta's 600-request-per-5-minute-per-user rate limit. Workflows, automations, vault-specific security roles, and document-version chains do not have D365 equivalents — those are surfaced in the migration plan for your team to rebuild in Power Automate and D365 security roles post-migration. The migration uses staged REST API reads from Vaulta, intermediate JSON normalization, then Dataverse OData batch upserts into D365.

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

Vaulta logo

Vaulta

What's pushing teams away

  • Some EOS holders viewed the rebrand as cosmetic rather than substantive, arguing that underlying scalability and developer ecosystem issues were not addressed by the token change.
  • Long-standing concerns about low dApp activity and limited real-world adoption on EOS persisted through the Vaulta transition, prompting some developers to migrate to EVM chains instead.
  • The voluntary nature of the token swap meant exchanges and wallets had to independently support the Vaulta (A) token, creating a fragmented support timeline where some platforms delayed or refused to honor the swap.

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 Vaulta objects map to Microsoft Dynamics 365 Sales

Each row shows how a Vaulta 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.

Vaulta

Vault Object (Account Type)

maps to

Microsoft Dynamics 365 Sales

Account

1:1
Fully supported

Vaulta's account-type vault objects map directly to D365 Accounts. Each vault object record becomes one Account row. The vault object ID is preserved as a custom field (VaultObjectId__v) for traceability and delta-run de-duplication. During migration, any cross-reference fields linking accounts to other vault objects are converted to D365 lookup columns or custom relationship fields, ensuring referential integrity across the target CRM.

Vaulta

Vault Object (Contact Type)

maps to

Microsoft Dynamics 365 Sales

Contact

1:1
Fully supported

Contact-type vault objects migrate to D365 Contacts. Vaulta supports multiple email addresses per contact; the primary email populates Email, secondary addresses are stored in a custom multi-select text field on the Contact record. If a contact has more than one phone number, additional numbers are saved as custom phone fields, and any associated vault document attachments are linked via the VaultObjectId__c reference on the Contact.

Vaulta

Vault Object (Lead Type)

maps to

Microsoft Dynamics 365 Sales

Lead

1:1
Fully supported

Lead-type vault objects from Vaulta migrate as D365 Leads. Vaulta lead-source and qualification fields map to D365 Lead Status and Lead Source pick-list values. Records not yet qualified to a Contact become Leads in D365. Any custom fields on the Vaulta lead object are created as custom columns on the D365 Lead entity, preserving data such as lead scoring, industry classification, or product interest stored in the vault.

Vaulta

Vault Object (Opportunity Type)

maps to

Microsoft Dynamics 365 Sales

Opportunity

1:1
Fully supported

Opportunity-type vault objects map to D365 Opportunities. The vault object's deal value field migrates as Amount, close date as CloseDate, and the vault workflow state maps to Opportunity Stage via value-by-value mapping against your D365 sales process. All custom attributes such as product line, region, or competitor information are transferred as custom opportunity columns, and any attached vault documents are linked to the opportunity via VaultObjectId__c for audit trails.

Vaulta

Product Vault Object

maps to

Microsoft Dynamics 365 Sales

Product

1:1
Fully supported

Vaulta product content vault objects migrate to D365 Products. Product name, SKU, description, and base price transfer as Name, ProductNumber, Description, and Price (base). Bundle and product relationship hierarchies require additional junction table creation in D365. During migration, any product images or compliance documents stored in Vaulta are attached to the D365 Product record using the same VaultObjectId__c reference, and product categorization fields map to the D365 Product Type picklist.

Vaulta

Vault Document Metadata

maps to

Microsoft Dynamics 365 Sales

Annotation (Note/Attachment)

1:1
Fully supported

Vaulta document records do not map to a single D365 entity. File name, MIME type, version number, and file size migrate as a D365 Note record with an associated Attachment. The file binary itself re-uploads to D365 SharePoint or Dataverse attachments depending on your D365 file-storage configuration.

Vaulta

Vault Object Relationship

maps to

Microsoft Dynamics 365 Sales

N:N Relationship / Junction Table

many:1
Fully supported

Vaulta's cross-vault-object reference fields (parent-child hierarchies and many-to-one lookups) decompose into D365 lookup fields on the child record for 1:N relationships. Vaulta N:N relationships require a junction table in D365 — we create one as part of the schema setup phase.

Vaulta

Vault Object State / Lifecycle Field

maps to

Microsoft Dynamics 365 Sales

Custom Pick-list Field

1:1
Fully supported

Vaulta lifecycle and state fields are vault-configuration-specific pick-lists with no native D365 equivalent. We create a custom pick-list field (VaultState__c) on the target D365 entity and map each Vaulta state value individually. State-transition timestamps are stored as VaultStateChanged__c custom datetime fields.

Vaulta

Vaulta User (Owner)

maps to

Microsoft Dynamics 365 Sales

SystemUser / OwnerId

1:1
Fully supported

Vaulta assigns records to vault users identified by user_id and email within the vault. Owner resolution runs by email match against D365 SystemUser records. Unmatched owners are flagged before migration — your team either provisions the user in D365 first or assigns records to a fallback owner.

Vaulta

Vault Object Create/Modify Timestamps

maps to

Microsoft Dynamics 365 Sales

Custom Datetime Fields

1:1
Fully supported

Vaulta's CreatedDate and ModifiedDate are preserved as VaultCreatedDate__c and VaultModifiedDate__c custom datetime fields. D365's native CreatedOn and ModifiedOn are set at migration time by the Dataverse API — preserving the original vault timestamps is required for audit continuity. These timestamp fields enable historical reporting on record age and change patterns, and they remain read-only after migration to maintain the original audit trail integrity across future D365 updates.

Vaulta

Custom Vault Object Type

maps to

Microsoft Dynamics 365 Sales

Custom Table (msdyn_*)

1:1
Fully supported

Vaulta Enterprise allows custom vault object types beyond the standard set. Each custom vault object maps 1:1 to a D365 custom table. If the custom vault object uses N:N relationships with other vault objects, a corresponding Dataverse N:N relationship entity is created.

Vaulta

Vault Attachment / File Version

maps to

Microsoft Dynamics 365 Sales

SharePoint Document / Attachment

1:1
Fully supported

Vaulta stores multiple file versions per document. We migrate the current (latest) version as the D365 file. If prior versions are required, they are listed in a VaultVersionHistory__c custom field as a text log with version number and date per revision.

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.

Vaulta logo

Vaulta gotchas

High

Token swap is voluntary with no forced deadline

High

Smart contracts must be rewritten for EVM

Medium

Off-chain dApp state is not included in the chain migration

Medium

Transaction history references deprecated EOS action types

Low

Wallet key permissions map 1:1 but EVM address format differs

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

  • Vault lifecycle states have no native D365 equivalent — manual mapping required per object type

    Vaulta controls record state via vault object lifecycle fields and workflow-driven status transitions specific to each vault configuration. Dynamics 365 Sales has no built-in lifecycle stage field — Lead/Contact split and Opportunity Stage serve different purposes. We create a custom pick-list field (VaultLifecycleState__c) on each target D365 entity and map every Vaulta state value individually. If your Vaulta workflows drive state transitions automatically, those logic paths must be rebuilt in D365 Power Automate, as workflow rules do not migrate. The mapping plan details every Vaulta state value and its D365 target so your admin can validate before data lands.

  • File attachments require re-upload and may exceed D365 file-size limits

    Vaulta stores document versions as first-class vault objects with no intrinsic file-size ceiling (governed by vault storage limits). D365 Annotations cap individual files at 131,072 KB (128 MB) per attachment via the Dataverse Web API. Files exceeding this threshold trigger an upload failure and are flagged. For each oversized file we surface the record, file name, and size so your team can either split the document in Vaulta before migration or configure a SharePoint document library integration in D365 as the target storage layer before the migration run.

  • N:N vault relationships decompose into D365 junction tables — schema setup required first

    Vaulta supports cross-vault-object reference fields that represent many-to-many associations (e.g., a product vault object linked to multiple study vault objects). D365 Dataverse natively supports N:N relationships, but the junction table must be created before data loads to avoid orphaned relationship records. We generate a schema setup plan during discovery that specifies the junction table names, relationship names, and intersect entity columns your D365 admin creates before the migration begins. Relationship records are loaded in a second pass after the primary object load completes.

  • Vaulta security roles and sharing rules cannot be migrated to D365 security roles

    Vaulta uses vault-level security roles (Vault User, Vault Admin, Vault Viewer) and document-level sharing rules. D365 uses Dataverse security roles, field-level security, and record-sharing models that operate on CRM entities, not vault objects. These are destination-side schema configuration — they have no migration path. We export your Vaulta role assignments as a CSV and pair each vault role with the nearest D365 security role definition as a rebuild reference for your D365 admin to configure post-migration.

  • Vault API rate limits require staged pagination — large vaults extend migration window

    Vaulta's REST API enforces 600 requests per 5-minute window per user account. For vaults containing more than 50,000 records across multiple object types, API pagination cycles add linear time to the extraction phase. We throttle requests, handle 429 Too Many Requests responses with exponential backoff, and run parallel object-type extraction streams where Vaulta's concurrent session limits allow. Large enterprise vaults (500k+ records) may require 5–10 days for extraction alone before any data loads into D365 — this is factored into the project timeline before the migration begins.

Migration approach

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

  1. Discovery and schema mapping

    We read your Vaulta API (v28+) to inventory every vault object type, custom field, and relationship defined in the vault. We simultaneously map those to D365 entities, column types, and relationship structures. The output is a migration specification document — one field at a time — that your D365 admin reviews before any data moves. If N:N relationships exist in the vault, we include junction table creation steps in this phase.

  2. D365 environment preparation

    Your D365 admin creates the target custom tables, custom columns (using the new_ prefix convention in the Power Apps maker portal), and N:N intersect entities from the schema setup plan. We validate that all custom column types match Vaulta field types before extraction begins. Owner resolution runs against D365 SystemUser by email — unmatched vault users are flagged and assigned to a migration owner until your team provisions them.

  3. Staged data extraction from Vaulta

    We extract vault objects in dependency order — accounts first, then contacts and leads, then opportunities and products — to respect D365 foreign-key requirements. Documents are extracted as binary blobs with metadata. We paginate through the Vaulta API using cursor-based pagination, applying backoff on rate-limit responses. Each object type generates a normalized JSON staging file with original vault IDs, field values, and relationship keys preserved.

  4. Sample migration and field-level validation

    A representative slice (typically 200–500 records per object type) migrates into D365 first. We generate a field-level diff comparing the Vaulta source values against the D365 destination values for every mapped column. Your team reviews the diff and approves the mapping before the full run commits. This step catches value-mapping gaps, pick-list mismatches, and relationship resolution failures before they affect the full dataset.

  5. Full migration with delta pickup

    All vault objects, documents, and relationship records load into D365 via Dataverse OData batch upserts. A delta-pickup window (24–48 hours after full load) captures any vault records modified during the cutover window. We run a final reconciliation count against the Vaulta source and produce a record-by-record discrepancy report. Audit log captures every upsert operation, and one-click rollback is available if reconciliation fails.

Platform deep dives

Context on both ends of the pair

Vaulta logo

Vaulta

Source

Strengths

  • Mature underlying technology — Vaulta inherits years of EOS Network smart-contract and inter-blockchain infrastructure rather than starting from a new chain.
  • Token-supply restructure at the swap (10B EOS down to 2.1B A) creates a cleaner unit economics narrative than the legacy EOS supply curve.
  • Banking Advisory Council with named executives from Systemic Trust, Tetra, and ATB Financial bridges traditional finance and on-chain product design.
  • Strategic partnerships with Ceffu, Spirit Blockchain, and Blockchain Insurance Inc anchor real custody and insurance products around the chain.
  • Four-pillar product roadmap (Wealth Management, Consumer Payments, Portfolio Management, Insurance) provides clear product-market lanes for builders deploying on the chain.

Weaknesses

  • Not a CRM in any meaningful sense — Vaulta has no Contact, Account, Deal, or Lead object model and cannot be migrated using standard CRM mapping techniques.
  • Brand-new rebrand (March 2025) with token swap completing through 2025; customers and counterparties are still adjusting to the new identity.
  • Web3 banking is a regulatory grey zone — banking partnerships and insurance products carry jurisdictional risk that traditional CRM platforms do not.
  • EOS history includes contentious governance and unrealised promises; some institutional buyers will discount the rebrand on that basis alone.
  • Catalog category 'crm' is materially incorrect — Vaulta is a blockchain network, not a customer relationship management tool; this is a catalog data-quality issue.
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?

Moderate CRM migration. 2 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Vaulta and Microsoft Dynamics 365 Sales .

  • Object compatibility

    C

    2 of 8 objects need a manual workaround.

  • 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

    C

    Vaulta: Determined per node operator and per RPC endpoint; not a centrally enforced limit. Free public endpoints throttle aggressively; paid infrastructure providers expose higher limits..

  • Data volume sensitivity

    B

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

Estimator

Estimate your Vaulta 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 Vaulta to Microsoft Dynamics 365 Sales data migrations

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

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Small Vaulta migrations under 10,000 vault object records complete in 48–96 hours of clock time. Medium vaults (10,000–100,000 records) extend to 3–7 days. Enterprise vaults with 500,000+ records, multiple custom object types, or large document libraries can take 2–6 weeks. Vault API rate limiting and N:N relationship resolution are the primary timeline variables. Mapping vault object types to D365 entities is the longest planning step; data movement itself is typically faster than discovery.

Adjacent paths

Related migrations to explore

Ready when you are

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