CRM migration
Field-level mapping, validation, and rollback between Kinabase and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Kinabase
Source
Salesforce Sales Cloud
Destination
Compatibility
14 of 17
objects map 1:1 between Kinabase and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Kinabase to Salesforce Sales Cloud is a schema translation first, a record migration second. Kinabase has no fixed object model—every Collection is a user-defined entity with its own Fields, linked references, and computed formulas. Salesforce enforces standard objects (Account, Contact, Opportunity, Task) with a defined schema and relationship model. We audit every Collection, design a named mapping to Salesforce objects (or custom __c objects), evaluate Computed Fields at migration time and write the resulting value as a static field, and resolve linked-collection references as Salesforce Lookups or denormalised text IDs. The admin CSV panel or API export (100 req/min, support-gated) feeds the load. Workflows, Stages, Views, Filters, and Integrations do not migrate; we deliver a written inventory of these for the customer to rebuild in Salesforce Flow and the Setup menu. The Salesforce Bulk API 2.0 handles the load with batch chunking, parent-record resolution, and rate-limit backoff. A Kinabase-to-Salesforce migration is structurally more complex than most CRM-to-CRM moves because there is no canonical object correspondence—every mapping is a custom design decision that must be made before any data moves.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Kinabase 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.
Kinabase
Collection (entity type, e.g. Clients, Accounts, Companies)
Salesforce Sales Cloud
Account
1:1A Kinabase Collection that represents organisations, companies, or business entities maps to Salesforce Account. We use the Collection's primary name field as Account.Name, the address fields as BillingAddress, and any classification fields as Industry, Type, or custom __c fields. If the Collection stores individual people rather than organisations, it maps to Contact instead—determined during scoping by examining whether the name field is singular or plural and whether the Collection has company-related fields.
Kinabase
Collection (entity type, e.g. Contacts, People, Staff)
Salesforce Sales Cloud
Contact
1:1A Kinabase Collection that represents individual people maps to Salesforce Contact. The primary name field maps to Contact.FirstName and LastName (parsed from a full-name field), email maps to Email, phone maps to Phone, and any role or title fields map to Title. Contact requires an AccountId Lookup to associate the individual with an organisation; we resolve this from a linked-collection field pointing to the corresponding Accounts Collection during the load phase.
Kinabase
Collection (entity type, e.g. Deals, Opportunities, Projects, Contracts)
Salesforce Sales Cloud
Opportunity
1:1A Kinabase Collection tracking revenue-generating work maps to Salesforce Opportunity. The Collection's stage field (Draft, In Progress, Won, Lost) maps to StageName, and any amount field maps to Amount. If the Collection has a date field, it maps to CloseDate. Owner resolution happens by email match against the Salesforce User table. If the destination org uses multiple sales processes, we configure Record Types during schema design before migration.
Kinabase
Field: Text
Salesforce Sales Cloud
Field: Text (Text, Text Area, Long Text Area)
1:1Kinabase text fields map to Salesforce Text (255 chars), Text Area (255 chars, displayed as textarea), or Long Text Area (131,072 chars) depending on the source field's max length and whether it is expected to contain multi-line content. Multi-line text that is displayed as rich text in Kinabase maps to Long Text Area without formatting preservation.
Kinabase
Field: Number
Salesforce Sales Cloud
Field: Number (Number, Currency, Percent)
1:1Kinabase numeric fields map to Salesforce Number, Currency, or Percent depending on the business meaning. We inspect whether the number has a currency symbol, a percentage sign, or a decimal precision requirement to select the correct Salesforce field type. Number fields with no semantic modifier default to Number(18,2).
Kinabase
Field: Date or DateTime
Salesforce Sales Cloud
Field: Date or DateTime
1:1Kinabase date and datetime fields map directly to Salesforce Date and Datetime. We handle timezone normalisation at migration time—Kinabase stores dates in the configured org timezone, and we convert to UTC before writing to Salesforce Datetime to avoid off-by-one-day errors on date-only fields.
Kinabase
Field: Dropdown (single-select picklist)
Salesforce Sales Cloud
Field: Picklist
1:1Kinabase single-select dropdown fields map to Salesforce Picklist. We export the distinct values from Kinabase and create matching Picklist values in Salesforce during schema design. If a Kinabase value contains a character not allowed in Picklist API names (e.g., a slash or ampersand), we strip or replace it and maintain an internal cross-reference.
Kinabase
Field: Multi-select dropdown
Salesforce Sales Cloud
Field: Multi-Select Picklist
1:1Kinabase multi-select dropdown fields map to Salesforce Multi-Select Picklist. Values are semicolon-delimited in both systems, so the migration is a direct value transfer. Multi-Select Picklist fields have a 255-character combined value limit; we flag Collections where concatenated multi-select values may exceed this and propose a truncation strategy during scoping.
Kinabase
Field: Computed Field (formula-evaluated)
Salesforce Sales Cloud
Field: Number, Currency, or Text (static value)
lossyKinabase Computed Fields evaluate dynamically by formula and are not stored as persistent data. We evaluate each formula at migration time and write the resulting value as a static Salesforce field. The formula definition does not transfer—only the snapshot value at the time of migration. We flag this explicitly in the pre-migration field audit and document every Computed Field that maps to a static value so the customer understands the limitation before cutover.
Kinabase
Field: Linked Collection field (cross-collection reference)
Salesforce Sales Cloud
Field: Lookup (AccountId, ContactId, WhatId) or Text ID field
1:1A Kinabase linked-collection field (e.g., a Projects Collection with a Client field pointing to the Clients Collection) is a cross-collection reference with no Salesforce-native equivalent. We resolve the reference at migration time: if the target Collection maps to Account, we write the resolved AccountId as a Lookup field; if the target has no direct Account equivalent, we write the Kinabase record ID as a Text field and document the relationship for manual re-establishment or a custom Lookup formula. This requires exporting Collections in dependency order (parents first) so that parent IDs are available when child records are loaded.
Kinabase
Record: Task
Salesforce Sales Cloud
Task
1:1Kinabase Tasks map directly to Salesforce Task. We preserve Status (Open, Completed), Priority (High, Normal, Low), ActivityDate (due date), Subject, and Description. Assignee resolution maps the Kinabase owner reference to Salesforce OwnerId via email match against the User table. Tasks linked to a Kinabase Collection record map to a Salesforce Task with the appropriate WhatId (for Account/Opportunity-linked tasks) or WhoId (for Contact-linked tasks) resolved at migration time.
Kinabase
Collection: Activities (emails, calls, meetings)
Salesforce Sales Cloud
Task, Event, EmailMessage
1:manyKinabase Collections that track work history (emails, calls, meetings, notes) map to Salesforce Task (for calls and tasks), Event (for meetings), and EmailMessage (for emails). Each Kinabase record type is identified during scoping by inspecting the Collection's fields for type indicators (duration for calls, attendees for meetings, body for emails). Emails also create a paired Task record for the activity timeline. Activity timestamps are preserved as ActivityDate and CreatedDate in Salesforce.
Kinabase
Collection: Stage values (pipeline statuses)
Salesforce Sales Cloud
Opportunity StageName or custom Picklist
lossyKinabase stage fields (Draft, In Progress, Approved, Closed Won, Closed Lost) are categorical values that map to Salesforce StageName on Opportunity or to a custom Picklist if the Collection does not represent a revenue pipeline. Stage probability percentages from Kinabase map to Salesforce StageProbability values, rounded to the nearest integer allowed by Salesforce.
Kinabase
Collection: Documents (file attachments)
Salesforce Sales Cloud
ContentDocument and ContentDocumentLink
1:1Kinabase documents attached to records are exported as filenames and URLs (not file content). We map each document association to a Salesforce ContentDocumentLink linking the document to the parent Account, Contact, or Opportunity record. Actual file content migration depends on whether the documents are stored in a connected cloud location (SharePoint, S3) that can be re-linked; if content is embedded in Kinabase, we migrate the filename reference only and flag for manual re-upload to Salesforce Files or Documents.
Kinabase
Workflow definitions and automation rules
Salesforce Sales Cloud
No equivalent (inventory delivered only)
1:1Kinabase workflows define stage progression, trigger-based rules, and approval gates. These are process-layer constructs that do not represent data records. We do not migrate workflows as executable code. We audit every active Kinabase Workflow and deliver a written inventory listing the trigger, conditions, actions, and a recommended Salesforce Flow equivalent (record-triggered Flow, path, or approval process). The customer's Salesforce admin or a certified consultant rebuilds them post-migration.
Kinabase
Views and Filters (saved query definitions)
Salesforce Sales Cloud
No equivalent
1:1Kinabase Views and Filters are saved query definitions scoped to a Collection. They are UI-layer constructs with no underlying data representation. We do not migrate views; we export the underlying records that views query. Salesforce List Views and Reports serve a similar purpose, but their creation is part of the post-migration administration work, not the migration itself.
Kinabase
Microsoft 365 integrations (Outlook, SharePoint, Entra ID SSO)
Salesforce Sales Cloud
No equivalent
1:1Kinabase integrations are platform-level connection configurations. These cannot be migrated to Salesforce. We document the active integrations (which users have connected, which Collections are affected) in the migration handoff so that the customer's IT team can re-establish equivalent connections in Salesforce—Outlook sync via Salesforce Inbox, SharePoint via Files Connect, and Entra ID SSO via Salesforce Identity.
| Kinabase | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Collection (entity type, e.g. Clients, Accounts, Companies) | Account1:1 | Fully supported | |
| Collection (entity type, e.g. Contacts, People, Staff) | Contact1:1 | Fully supported | |
| Collection (entity type, e.g. Deals, Opportunities, Projects, Contracts) | Opportunity1:1 | Fully supported | |
| Field: Text | Field: Text (Text, Text Area, Long Text Area)1:1 | Fully supported | |
| Field: Number | Field: Number (Number, Currency, Percent)1:1 | Fully supported | |
| Field: Date or DateTime | Field: Date or DateTime1:1 | Fully supported | |
| Field: Dropdown (single-select picklist) | Field: Picklist1:1 | Fully supported | |
| Field: Multi-select dropdown | Field: Multi-Select Picklist1:1 | Fully supported | |
| Field: Computed Field (formula-evaluated) | Field: Number, Currency, or Text (static value)lossy | Fully supported | |
| Field: Linked Collection field (cross-collection reference) | Field: Lookup (AccountId, ContactId, WhatId) or Text ID field1:1 | Fully supported | |
| Record: Task | Task1:1 | Fully supported | |
| Collection: Activities (emails, calls, meetings) | Task, Event, EmailMessage1:many | Fully supported | |
| Collection: Stage values (pipeline statuses) | Opportunity StageName or custom Picklistlossy | Fully supported | |
| Collection: Documents (file attachments) | ContentDocument and ContentDocumentLink1:1 | Fully supported | |
| Workflow definitions and automation rules | No equivalent (inventory delivered only)1:1 | Fully supported | |
| Views and Filters (saved query definitions) | No equivalent1:1 | Fully supported | |
| Microsoft 365 integrations (Outlook, SharePoint, Entra ID SSO) | No equivalent1:1 | Fully supported |
Gotchas + challenges
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 gotchas
API access gated behind a support request
100 req/min rate limit slows large exports
Computed Field values are not stored data
Linked collection fields require relationship re-establishment
Only administrators can export all data
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Discovery and API access procurement
We conduct a structured discovery session reviewing every Kinabase Collection, its Fields (type, linked-collection references, computed fields), record counts, and active workflows. We confirm whether the migration will use the Kinabase API (Bearer token, 100 req/min) or the admin CSV export panel, and immediately begin the API access request if the API path is selected. We identify parent-child Collection dependencies to establish the export sequencing plan. The discovery output is a written migration scope document with a named mapping for every Collection.
Schema design and Salesforce sandbox provisioning
We design the destination Salesforce schema in a Sandbox org. This includes provisioning custom objects (with __c API names), custom fields (with Salesforce types matched to Kinabase field types), Record Types and Sales Processes for any pipeline-representing Collections, Picklist value sets for dropdown and multi-select fields, and Lookup fields for every linked-collection reference. Computed Fields are flagged for static-value migration with a note that the formula is not preserved. The customer reviews and approves the schema design before any data export begins.
Data export in dependency order
We export Kinabase Collections in parent-first order based on the linked-field dependency graph. Parent Collections (organisations, accounts) export first; child Collections (projects, contacts, activities) export second. Each Collection is exported as a separate file with record IDs preserved for cross-reference during the transform phase. Computed Fields are evaluated at export time for every record. The Kinabase 100 req/min rate limit is handled with backoff-aware pagination. We pre-scope export volumes to estimate duration and flag projects at risk of rate-limit timeouts before the export begins.
Transform, deduplication, and relationship resolution
We run the transform phase against the exported CSV or JSON files. This includes parsing full-name fields into FirstName and LastName, converting date formats to Salesforce-compatible ISO 8601, mapping dropdown values to Picklist values (with character normalisation), evaluating Computed Fields and writing static values, and resolving linked-collection references by matching Kinabase record IDs to the Salesforce IDs generated during the sandbox migration. Any records with broken parent references (orphaned children) are flagged in a reconciliation report for the customer to resolve before production load.
Sandbox migration and customer validation
We run a full migration into the Salesforce Sandbox using production-like data volumes. The customer reconciles record counts, spot-checks 25-50 random records against the Kinabase source, and validates that linked-record relationships (Account-Contact-Opportunity chains) are intact. Any mapping corrections (wrong field type, missed picklist value, incorrect relationship direction) are documented and applied before the production migration begins. The customer signs off the sandbox results as the gate to production.
Production migration with Bulk API and cutover
We run production migration in dependency order: Accounts (from parent Collections), Contacts (with AccountId resolved), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Tasks and Activities (via Bulk API 2.0 with batch chunking and exponential backoff), then child Collections with remaining lookups. Each phase emits a row-count reconciliation report. We freeze Kinabase writes during the cutover window, run a final delta migration of records modified during the window, then enable Salesforce as the system of record. We deliver the Workflow and Integration inventory document to the customer's admin team for post-migration rebuild in Salesforce Flow and the Setup menu.
Platform deep dives
Kinabase
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Kinabase and Salesforce Sales Cloud.
Object compatibility
2 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Kinabase: 100 requests per minute.
Data volume sensitivity
Kinabase doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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