CRM migration

Migrate from Krayin CRM to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between Krayin CRM and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

Krayin CRM logo

Krayin CRM

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

75%

9 of 12

objects map 1:1 between Krayin CRM and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Krayin CRM to Salesforce Sales Cloud is a migration from an MIT-licensed, self-hosted Laravel application to a cloud-native SaaS platform with a global ecosystem of over 4,600 AppExchange apps. Krayin's Person object (equivalent to a Contact) attaches to a Company record; Salesforce separates the person from the organization using Contact and Account. We sequence the migration in dependency order—Users and Accounts first, then Persons and Leads, then Products and Opportunities, then Activities—so that every Salesforce Lookup field (AccountId, ContactId, OwnerId) is resolved at insert time. We pull custom attribute values from Krayin's database directly when the REST API does not expose them fully, and we deliver a written inventory of all active Krayin Workflows and automation rules for the customer's admin to rebuild in Salesforce Flow. Attachments cannot migrate because Krayin stores them on the server filesystem, not via its API; we document this gap during discovery so the customer can export files manually before cutover.

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

Krayin CRM logo

Krayin CRM

What's pushing teams away

  • Performance lags behind comparable CRMs; users report clunky UX and slow load times that become more pronounced as record volume grows, pushing teams toward faster alternatives.
  • Small community and limited third-party integrations mean teams requiring niche tools or deep ecosystem apps find Krayin unsupported, driving migrations to platforms with larger marketplaces.
  • Advanced features require significant developer customization rather than configuration, creating technical debt and ongoing PHP/Laravel maintenance burdens that non-technical teams cannot sustain.
  • Self-hosting introduces hidden infrastructure and labor costs—VPS hosting, security patches, backups, and freelance developer hours—which accumulate and often exceed the perceived savings of a 'free' CRM.

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 Krayin CRM objects map to Salesforce Sales Cloud

Each row shows how a Krayin CRM 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.

Krayin CRM

User

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Krayin Users map to Salesforce Users by email address as the dedupe key. We export all Krayin Users via the REST API and match them against the destination Salesforce org's User table before any record migration begins, because OwnerId references on Leads, Persons, Deals, and Activities require a valid Salesforce User ID. Any Krayin User without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision before record migration resumes.

Krayin CRM

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Krayin Company records map directly to Salesforce Account. The Company name becomes Account Name, and any domain or website field maps to Account's Website field. Account is created first in the migration load order so that the AccountId lookup is satisfied when we import Persons and Deals. Krayin Company custom attributes (stored in the custom_attributes table when the API does not expose them fully) map to custom fields on Account__c.

Krayin CRM

Person

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Krayin Person records (Krayin's Contact equivalent) map to Salesforce Contact. Email is the primary deduplication key; we check for existing Contacts with the same email address and flag duplicates for the customer's admin to resolve before insert. The Krayin organization_id (link to Company) maps to Salesforce AccountId via a pre-computed lookup table built from the Account migration results. Krayin Person phone, address, title, and custom attribute fields map to typed Salesforce Contact fields.

Krayin CRM

Lead

maps to

Salesforce Sales Cloud

Lead

1:1
Fully supported

Krayin Lead records map to Salesforce Lead. Unlike HubSpot (which uses a unified Contact with Lifecycle Stage), Krayin separates Leads from Persons at the object level, which maps more directly to Salesforce's Lead model. We preserve the Krayin lead status value as a custom field krayin_lead_status__c and map it to a Salesforce Lead Status value that the customer's admin configures before migration. OwnerId resolves via the User email mapping.

Krayin CRM

Product

maps to

Salesforce Sales Cloud

Product2

1:1
Fully supported

Krayin Products map to Salesforce Product2 records. The Krayin SKU becomes Product2 ProductCode. Standard Price Book entries are created during migration so that Products are available for OpportunityLineItem creation. We also migrate product inventory levels when Krayin's inventory tracking fields are present in the source data.

Krayin CRM

Deal

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Krayin Deal records map to Salesforce Opportunity. The Krayin pipeline and stage map to a Salesforce Record Type and Sales Process that we configure in the destination org before migration. AccountId, ContactId (via Contact roles), and OwnerId are all resolved at migration time using the pre-built lookup tables from the Account and User migration phases. Krayin's loss_reason and notes fields migrate to custom Opportunity fields.

Krayin CRM

Pipeline

maps to

Salesforce Sales Cloud

Record Type + Sales Process

lossy
Fully supported

Krayin's multiple pipeline support maps to Salesforce Record Types on Opportunity. Each Krayin pipeline becomes a Salesforce Record Type with its own Page Layout and Sales Process. Stage names and probabilities migrate to StageName and StageProbability values within each Sales Process. The customer chooses whether to consolidate Krayin pipelines into fewer Salesforce Record Types or preserve them one-to-one.

Krayin CRM

Quote

maps to

Salesforce Sales Cloud

Quote

1:1
Fully supported

Krayin Quotes map to Salesforce Quote (a standard object from Sales Cloud Professional). Quote PDFs are not migratable because they are generated dynamically by Krayin's templating system. We migrate line item data (Products, quantities, prices, discounts) as QuoteLineItem records linked to the Quote. The Quote is attached to the corresponding Opportunity via the OpportunityId lookup.

Krayin CRM

Activity (Call, Meeting, Task)

maps to

Salesforce Sales Cloud

Task + Event

1:1
Fully supported

Krayin Activity records (tasks, calls, meetings) attached to Leads and Deals map to Salesforce Task and Event objects. Call activities become Task with TaskSubtype = Call; meetings become Event with StartDateTime and EndDateTime preserved; tasks migrate as Task with Status, Priority, and ActivityDate. The WhoId links to the resolved Lead or Contact; the WhatId links to the resolved Opportunity or Account. Activity timestamps are preserved as ActivityDate for timeline ordering.

Krayin CRM

Tag

maps to

Salesforce Sales Cloud

Topic or Multi-Select Picklist

lossy
Fully supported

Krayin tag assignments stored as string arrays on Persons, Companies, and Deals migrate to Salesforce either as Topics with TopicAssignment records (for cross-object tagging) or as multi-select picklist values on the respective object (for object-scoped tags). The customer chooses the tagging strategy during scoping. Tags with no equivalent in Salesforce are flagged in the migration report for the admin to review.

Krayin CRM

Custom Attribute

maps to

Salesforce Sales Cloud

Custom Field

lossy
Fully supported

Krayin's custom attribute system allows user-defined fields on standard objects. We export custom attribute definitions and values via direct database query to the custom_attributes table when the REST API returns incomplete field data (a known Krayin limitation for some field types). Custom attributes become Salesforce custom fields on the corresponding object (Contact, Account, Lead, Opportunity). Field type mapping follows: Krayin dropdown and multi-select map to Salesforce picklist and multi-select picklist; date fields map to Date; text fields map to Text or Long Text Area.

Krayin CRM

Attachment

maps to

Salesforce Sales Cloud

ContentDocument (manual)

1:1
Fully supported

Krayin stores file attachments on the server filesystem, not as structured objects accessible via the REST API. We cannot retrieve or migrate attachments programmatically. During discovery, we flag this gap and instruct the customer to export files manually from the Krayin storage directory before cutover. Post-migration, the customer re-uploads files to Salesforce Files. We provide a manifest of all attachment file paths and the associated Krayin record ID so the customer can re-associate files manually.

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.

Krayin CRM logo

Krayin CRM gotchas

High

Attachments stored on filesystem, not accessible via API

High

Workflows have no export mechanism

Medium

No publicly documented API rate limits

Medium

Self-hosting cost illusion masks true TCO

Low

Custom attribute fields not always exposed via API

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

  • Attachments live on the filesystem, not the API

    Krayin stores file attachments (quotes, proposals, documents) on the server filesystem under the storage/ directory, not as structured database objects accessible via the REST API. We cannot retrieve or push attachments programmatically during migration. We flag this during discovery and provide the customer with a manifest of all attachment file paths and their associated Krayin record IDs. The customer exports the storage directory manually before cutover and re-uploads to Salesforce Files post-migration. This gap affects quote PDFs, contact documents, and any file uploaded to a Deal.

  • Workflows have no export mechanism in Krayin

    Krayin's workflow automation engine lives in the application layer and is not exposed through any API endpoint, data export feature, or database table that preserves the automation logic in a transferable format. Every automation rule, trigger, and condition cannot be extracted programmatically. We document all active Krayin Workflows in detail (trigger type, conditions, actions, affected objects) during migration scoping and deliver a written inventory with recommended Salesforce Flow equivalents. The customer's admin or a Salesforce partner rebuilds them post-migration as a separate workstream.

  • Custom attributes may require direct database queries

    Krayin's custom attribute system lets admins add fields to standard objects, but not all custom attribute types are equally accessible via the REST API. Some field types—particularly dropdowns with dynamic options, multi-select arrays, and certain date field formats—return incomplete or null values through the API. We probe the attribute schema during discovery and fall back to a direct database query on the custom_attributes table to capture complete values. We use the MySQL credentials from the self-hosted instance to query the krayin_custom_attribute_values table where values are stored as JSON.

  • No published Krayin API rate limits

    Krayin's API documentation describes CRUD operations and pagination but does not publish rate limits per org or per endpoint. We apply conservative rate-limiting defaults (50 requests per minute) and build exponential backoff into our migration scripts. If the self-hosted instance runs on a well-resourced server, we can increase throughput during testing; if the instance is resource-constrained, we throttle further. We validate actual throughput during the test migration phase and adjust before committing to the production cutover timeline.

  • Salesforce field validation rules can block imports silently

    Salesforce orgs commonly enforce validation rules (required formats, conditional required fields, picklist whitelists) and field-level security that blocks the migrating user from inserting records. Without coordination, this results in 5-30 percent record rejection on the first import attempt. We coordinate with the customer's Salesforce admin to temporarily disable or extend validation rules with a migration-context bypass before load, and re-enable them post-migration.

Migration approach

Six steps for a successful Krayin CRM to Salesforce Sales Cloud data migration

  1. Discovery and data audit

    We audit the source Krayin CRM instance via its REST API, extracting record counts for Leads, Persons, Companies, Deals, Activities, Products, Quotes, and Tags. We identify custom attribute schemas (and flag any requiring database extraction), active workflow definitions (for documentation, not migration), attachment file paths from the storage directory manifest, and any custom modules installed from Webkul. We also confirm the destination Salesforce edition (Professional at $75/user or Enterprise at $165/user) and confirm the presence of Service Cloud if Cases are in scope.

  2. Schema design and Salesforce configuration

    We design the destination Salesforce schema in a Sandbox org before production migration. This includes provisioning custom fields on Account, Contact, Lead, and Opportunity (matching Krayin custom attribute names and types), creating Record Types and Sales Processes for each Krayin pipeline, configuring Salesforce Users (or receiving the User provisioning list from the customer's admin), and disabling or extending validation rules that would block import. Schema is deployed to Sandbox first for the customer's RevOps lead to validate before production.

  3. Sandbox migration and reconciliation

    We run a full test migration into a Salesforce Sandbox using production-like data volumes. The customer reconciles record counts, spot-checks 25-50 random records against the Krayin source (name accuracy, custom attribute values, activity timestamps, pipeline stage assignments), and approves the schema and mapping before production migration begins. Any mapping corrections happen in Sandbox, not in production. This phase typically takes one to two weeks depending on customer availability.

  4. Owner reconciliation and User provisioning

    We extract every distinct Krayin User referenced on any record and match by email against the Salesforce destination org's User table. Owners without a matching Salesforce User go to a reconciliation queue. The customer's Salesforce admin provisions any missing Users (active or inactive depending on whether the original Krayin user is still active). Migration cannot proceed past this step because OwnerId references on Leads, Contacts, Opportunities, and Activities require a valid Salesforce User ID.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Krayin Companies), Contacts (with AccountId resolved via lookup table), Leads (with OwnerId resolved), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Products and Pricebook entries, Quote line items, Activity history (Tasks and Events via Salesforce Bulk API 2.0 with parent-record WhoId and WhatId lookup resolution), Custom Objects (if any), and Custom Attributes (via database query fallback where API returns incomplete data). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and workflow handoff

    We freeze writes to Krayin during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the Krayin Workflow inventory document (trigger, conditions, actions, recommended Salesforce Flow equivalent) to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Krayin Workflows as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task. We provide the attachment file manifest so the customer can re-upload files to Salesforce Files manually.

Platform deep dives

Context on both ends of the pair

Krayin CRM logo

Krayin CRM

Source

Strengths

  • MIT license means permanent zero license cost with full source code access for modification and audit.
  • Self-hosting gives complete data ownership and control with no vendor having access to customer records.
  • No per-user pricing model; adding team members does not increase software licensing costs.
  • Built on Laravel ecosystem, leveraging PHP's most mature framework with extensive documentation and developer community.
  • Data Transfer package supports bulk CSV/XLSX imports for Leads, Products, and Persons out of the box.

Weaknesses

  • Smaller community than SuiteCRM, Odoo, or ERPNext with fewer third-party integrations and less peer support available.
  • UX is described as clunky with slower performance compared to modern SaaS CRMs, particularly under larger data volumes.
  • Requires PHP/Laravel technical expertise to customize and maintain; non-technical teams will need ongoing developer involvement for changes and updates.
  • No publicly documented API rate limits, meaning migration tooling must make conservative assumptions about API throughput to avoid errors.
  • Workflows and automation rules cannot be exported; all automation logic must be manually rebuilt in the destination CRM.
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. 2 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 Krayin CRM and Salesforce Sales Cloud.

  • Object compatibility

    B

    2 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

    Krayin CRM: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Krayin CRM 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 Krayin CRM to Salesforce Sales Cloud data migrations

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

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Migrations under 20,000 Persons and 5,000 Deals with no custom objects and straightforward pipeline structures land between four and eight weeks. Migrations with large activity histories (over 200,000 records), complex custom attribute schemas requiring database extraction, or multi-pipeline structures move to ten to sixteen weeks. Discovery and sandbox validation take two to four weeks regardless of size, and are included in both timelines.

Adjacent paths

Related migrations to explore

Ready when you are

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