CRM migration

Migrate from Kinabase to Freshsales

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

Kinabase logo

Kinabase

Source

Freshsales

Destination

Freshsales logo

Compatibility

80%

8 of 10

objects map 1:1 between Kinabase and Freshsales.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Kinabase uses a flat Collection-and-Record data model where every entity type is a user-defined Collection with typed Fields, including computed formulas and cross-collection linked references. Freshsales uses a conventional relational CRM schema with Contacts, Accounts (Companies), Leads, Deals, and Activities as standard objects, plus custom objects on Growth and above. These structural differences make migration a schema-design problem first and a data-load problem second. We audit every Collection, map each to the closest Freshsales standard or custom object, resolve cross-collection linked fields through lookup creation or ID denormalisation, and evaluate computed Fields to their static values at migration time. The 100 req/min Kinabase API rate limit and the requirement to obtain API credentials via [email protected] add lead-time to scoping that we account for during discovery. Workflows, automations, and saved Views are documented but not migrated as code.

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

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How Kinabase objects map to Freshsales

Each row shows how a Kinabase object lands in Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Kinabase

Clients Collection (or equivalent primary entity)

maps to

Freshsales

Contact

1:1
Fully supported

Kinabase Collections that hold individual people (Contacts, Customers, People) map to Freshsales Contact. The Collection's Fields map to Freshsales standard fields (first_name, last_name, email, phone, address) with any additional Fields created as Freshsales custom fields. Email uniqueness is enforced in Freshsales; we deduplicate by email before import and flag duplicate records for customer resolution.

Kinabase

Organisations Collection (or equivalent company entity)

maps to

Freshsales

Account

1:1
Fully supported

Kinabase Collections holding companies or organisations map to Freshsales Account. The Account Name becomes the primary key field. Website, industry, and address Fields map to Freshsales standard fields. We create the Account before importing any related Contacts so that AccountId lookups are satisfied at import time.

Kinabase

Projects or Orders Collection

maps to

Freshsales

Deal

1:1
Fully supported

Kinabase Collections representing transactional or project records map to Freshsales Deal. The deal name, amount, and stage map to Freshsales Deal fields. Stage values from Kinabase custom Fields map to Freshsales Deal stage dropdown. If the Collection has a monetary Field, we map it to Freshsales Deal amount fields.

Kinabase

Any non-standard Collection

maps to

Freshsales

Custom Object

1:1
Fully supported

Kinabase Collections that have no direct Freshsales standard object equivalent (Projects, Subscriptions, Properties, Vehicles, Cases) map to Freshsales custom objects on Growth and above tiers. We pre-create the Freshsales custom object schema, including all custom Fields and any lookup relationships to Contacts, Accounts, or Deals, before data import begins.

Kinabase

Linked Collection Field

maps to

Freshsales

Lookup Field or Denormalised Text

1:1
Fully supported

Kinabase linked collection Fields create cross-record references across Collections. In Freshsales, these map to lookup Fields on custom objects if the Freshsales edition supports custom object relationships. For standard objects or lower tiers, we denormalise the referenced record's ID or name as a text field and flag this for the customer's admin to validate relationship semantics post-migration.

Kinabase

Activities (emails, calls, meetings)

maps to

Freshsales

Tasks, Calls, Meetings

1:1
Fully supported

Kinabase Activities attached to Records map to Freshsales Tasks, Calls, and Meetings based on activity type. Call duration and disposition map to Freshsales Call custom fields. Meeting details (subject, start time, end time) map to Freshsales Meeting. We preserve activity timestamps and owner assignments by resolving Kinabase Owner references against Freshsales Users.

Kinabase

Tasks Collection

maps to

Freshsales

Task

1:1
Fully supported

Kinabase standalone Tasks map to Freshsales Task with Status, Priority, due_date, and assigned owner preserved. Tasks linked to specific Records carry the parent record's lookup reference (Contact, Account, or Deal) in the WhatId field. Open and completed status maps directly to Freshsales task status values.

Kinabase

Computed Fields

maps to

Freshsales

Static Custom Field Value

lossy
Mapping required

Kinabase Computed Fields derive their value from a formula expression. Since Freshsales does not support computed Field formulas, we evaluate the formula expression at migration time and write the resulting value as a static custom field. The formula logic is not preserved; only the computed result transfers. We flag every computed Field in the pre-migration audit for customer review.

Kinabase

Document References

maps to

Freshsales

Attachment or Link Field

1:1
Fully supported

Kinabase document attachments store a reference URL or filename. We export the reference metadata and map it to Freshsales as a text URL field on the parent record or as a note with a link. Actual file content transfer depends on whether the destination Freshsales plan supports file attachments and whether the source file host allows cross-platform access.

Kinabase

Stages and Status Fields

maps to

Freshsales

Picklist Values

lossy
Fully supported

Kinabase stage and status values (Draft, Active, Approved, Closed) stored as Fields on Collections map to Freshsales picklist or dropdown Fields on the target object. We create the picklist values in Freshsales before migration so that imported records do not fail on a restricted picklist validation error.

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

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • Kinabase API access requires a support request before migration begins

    Kinabase does not offer a self-service developer portal or API key generation. Teams must email [email protected] to obtain Bearer token credentials. This means migration timelines cannot begin until credentials are provisioned, and automated migration runs cannot proceed without a pre-arranged token. We begin API access procurement early in the discovery phase and use the admin CSV export panel as a fallback data source when credentials are delayed. Customers must confirm they have an active admin account with export permissions before scoping starts.

  • Freshsales CSV import supports Contacts and Accounts but not complex custom objects without custom tooling

    Freshsales provides a native CSV import feature for standard objects (Contacts, Accounts, Leads, Deals). However, for Kinabase Collections that map to Freshsales custom objects with lookup relationships, the native import does not support relationship resolution at load time. We handle this by using Freshsales REST API with batched POST requests and parent-record ID lookup to satisfy foreign-key references before inserting child records. Migrations relying solely on CSV import for complex schemas will fail relationship validation.

  • Linked Collection Fields require relationship re-establishment or denormalisation

    A Kinabase linked Collection field (e.g., a Client field in a Projects Collection pointing to a Clients Collection record) is a cross-collection reference with no enforced schema. Freshsales enforces referential integrity on lookup fields, and custom object lookups require the Growth tier or above. We resolve cross-collection dependencies in export order, mapping parent Collections first and recording the target record identifiers for use in child record imports. If the customer's Freshsales plan does not support custom object lookups, we denormalise the reference as a text field and document the denormalisation for manual cleanup.

  • Freshsales enforces email uniqueness and required field constraints that Kinabase does not

    Freshsales requires a unique email address per Contact and enforces required field constraints on standard objects that Kinabase does not. Contacts without an email address cannot be imported to Freshsales via API; they must be held in a separate reconciliation queue and resolved manually. We run a pre-migration data quality audit to identify records with missing required fields and duplicate emails, and we apply customer-approved deduplication logic (first-record wins, last-record wins, or manual review) before loading.

  • Workflows, automations, and saved Views are documented but not migrated

    Kinabase workflows with stage progression, triggers, and role-based permissions have no direct Freshsales equivalent as code. Freshsales automation rules operate differently (event-triggered actions rather than formula-driven stage gates). We capture Kinabase workflow definitions and stage maps as structured JSON and deliver a written automation inventory document with recommended Freshsales automation equivalents. The customer's admin rebuilds these in Freshsales Settings. Saved Views and Filters are UI constructs with no underlying data and are not migrated; we export the underlying records they filter so the admin can rebuild views in Freshsales.

Migration approach

Six steps for a successful Kinabase to Freshsales data migration

  1. Discovery and admin access confirmation

    We audit every Kinabase Collection and Field via the admin CSV export panel, capturing schema definitions, data types, linked Collection references, and computed Field formulas. We confirm API credential procurement from [email protected] and validate admin export permissions. We extract record counts per Collection, identify the primary entity Collections (people, organisations, deals), and flag any Fields that are required in Freshsales but missing in Kinabase. The discovery output is a written migration scope with a mapping matrix, data quality report, and Freshsales edition recommendation based on custom object and relationship requirements.

  2. Freshsales schema provisioning

    We create the Freshsales schema before any data loads. This includes provisioning custom objects for non-standard Kinabase Collections (Growth and above required for custom object creation), creating custom fields to cover any Kinabase Fields with no Freshsales standard equivalent, adding picklist values to match Kinabase stage and status Fields, and creating lookup relationships between custom objects where the Freshsales edition supports them. Schema is validated in a Freshsales sandbox or trial account before production load begins.

  3. Data export with rate-limit management

    We export Kinabase data via the admin CSV panel or API (100 req/min rate limit). For large Collections, we implement backoff-aware pagination to avoid hitting the limit, pre-scoping export volumes to estimate duration. We export linked Collections in dependency order so that parent record identifiers are available for child record imports. Computed Fields are evaluated at export time and written as static values. We flag any computed Field that cannot be evaluated due to missing source Fields in the record.

  4. Data cleansing and deduplication

    We run a data quality pass on the exported data. This includes email deduplication (uniqueness enforcement in Freshsales), missing required field resolution (flagging Contacts without email for manual resolution or exclusion), date format normalisation to ISO 8601, phone number standardisation, and removal of records with no meaningful data. We deliver a data quality report to the customer and apply agreed deduplication rules before the Freshsales load begins.

  5. Production load in dependency order

    We load data into Freshsales in record-dependency order: Accounts first (from Kinabase organisation Collections), then Contacts with AccountId resolved, then Deals with AccountId and Contact references resolved, then custom objects with their lookup relationships satisfied, then Activities (Tasks, Calls, Meetings) with parent record lookups. Each phase emits a row-count reconciliation report before the next phase begins. We use Freshsales REST API batched POST requests with exponential backoff and chunking to handle large record sets.

  6. Validation, delta sync, and automation handoff

    We validate record counts in Freshsales against the source export, spot-checking a random sample of 25-50 records field by field. We run a final delta migration for any records modified in Kinabase during the migration window, then deliver the automation and workflow inventory document to the customer's Freshsales admin for rebuild. We offer a one-week post-migration hypercare window for reconciliation issues. Workflow rebuild, automation setup, and Freshsales onboarding training are outside standard migration scope and are separate engagements.

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
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 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 Freshsales.

  • Object compatibility

    B

    3 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 Freshsales 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 Freshsales data migrations

Answers to the questions buyers ask most during Kinabase to Freshsales migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Migrations with up to 5 Collections and fewer than 15,000 total records typically complete in three to five weeks. Migrations with many linked Collections, custom object creation, large engagement histories (over 200,000 activity records), or complex computed Field evaluation move to eight to twelve weeks because of schema design, relationship resolution, and the Kinabase API rate limit on large exports. API access procurement from Kinabase support adds one to two weeks of lead time before export can begin.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Kinabase.
Land in Freshsales, intact.

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