CRM migration

Migrate from Kinabase to monday CRM

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

Kinabase logo

Kinabase

Source

monday CRM

Destination

monday CRM logo

Compatibility

80%

8 of 10

objects map 1:1 between Kinabase and monday CRM.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Kinabase to Monday.com CRM is a schema-translation migration. Kinabase stores every entity as a user-defined Collection with typed Fields including computed formulas and cross-collection linked references; Monday.com CRM uses a more opinionated model built around Contacts, Companies/Boards, Deals, and Activities with Board-level Items and column types. We audit every Collection, map Fields to Monday.com column types, evaluate formula-based Computed Fields at migration time and store the result as a static value, and resolve linked collection references through Monday.com's Connect Columns or Lookup integration features. Kinabase's Workflow triggers, stage progressions, and permission rules do not migrate as automation code; we deliver a written map of every workflow requiring rebuild in Monday.com's Automation or Integrations centre. API access requires a support request to [email protected] before export begins, which we initiate early in discovery.

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

monday CRM logo

monday CRM

What's pulling them in

  • Users praise the board-based visual interface for making pipeline stages immediately legible to non-technical team members without CRM training.
  • The no-code automation builder lets sales ops teams create lead routing, stage updates, and email triggers without developer involvement.
  • Integration ecosystem connects to Slack, Gmail, Outlook, and Zapier with minimal configuration, reducing friction for teams already using these tools.
  • The flexible column system lets teams build custom CRM views — deal value, close date, lead source — without needing a developer or pre-defined schema.
  • Teams already using monday Work Management can layer CRM features onto existing boards rather than starting from scratch.

Object mapping

How Kinabase objects map to monday CRM

Each row shows how a Kinabase object lands in monday CRM, 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

monday CRM

Board

lossy
Fully supported

Each Kinabase Collection maps to a Monday.com CRM Board. We create the Board in Monday.com with a name matching the Collection label and pre-configure the column structure from the Collection's Field definitions. CRM-specific Collections (e.g., Clients, Projects) may map to Monday.com's native CRM entities (Contacts, Companies, Deals) rather than standalone Boards depending on the customer's data model review during scoping.

Kinabase

Record

maps to

monday CRM

Item

1:1
Fully supported

Every Record within a Kinabase Collection becomes an Item in the mapped Monday.com Board. All typed Field values (text, number, date, dropdown) migrate as column values on the Item. Null values and empty strings are preserved as empty columns rather than omitted, which maintains schema fidelity and allows Monday.com's conditional formatting to work against the imported data.

Kinabase

Text Field

maps to

monday CRM

Text Column

1:1
Fully supported

Kinabase text Fields map directly to Monday.com Text columns. Multi-line text migrates as long-text columns. We handle HTML-encoded values from Kinabase's rich text Fields by stripping tags and preserving plain text content, which Monday.com renders correctly in the UI.

Kinabase

Number Field

maps to

monday CRM

Numbers Column

1:1
Fully supported

Kinabase numeric Fields map to Monday.com Numbers columns. Currency-denominated number fields in Kinabase are identified during field audit and mapped to Monday.com Numbers with the currency symbol preserved in a separate Text column for display consistency.

Kinabase

Date Field

maps to

monday CRM

Date Column

1:1
Fully supported

Kinabase date Fields map to Monday.com Date columns with the ISO 8601 format preserved. Date-only fields (without time component) are migrated without a time offset. Date fields with no value migrate as empty Date columns rather than defaulting to today's date.

Kinabase

Dropdown Field

maps to

monday CRM

Dropdown or Tags Column

1:1
Fully supported

Kinabase dropdown Fields map to Monday.com Dropdown columns with the option set preserved exactly. Multi-select dropdowns in Kinabase map to Monday.com Tags columns, where each selected option becomes a separate tag on the Item. We audit the option sets during field audit to ensure no options are missed.

Kinabase

Computed Field

maps to

monday CRM

Numbers or Text Column (static value)

lossy
Fully supported

Kinabase Computed Fields are evaluated by a formula expression at migration time and the resulting value is written as a static Monday.com column value (Numbers or Text depending on output type). The formula itself is not preserved because Monday.com does not support computed columns. We document every Computed Field and its formula in the pre-migration audit so the customer's admin can rebuild the logic as a Monday.com Automation or Integrations formula column if needed.

Kinabase

Linked Collection Field

maps to

monday CRM

Connect Column or Lookup Column

1:1
Fully supported

A Kinabase linked Collection field (e.g., a 'Client' field in a 'Projects' Collection pointing to a 'Clients' Collection record) requires relationship re-establishment in Monday.com. We export linked records in dependency order — creating the referenced Board and Items first — then use Monday.com's Connect Columns to link Items across Boards, or Lookup Columns for same-Board references. The linked record ID from Kinabase is preserved in a Text column as a migration reference until the relationship is confirmed in the destination.

Kinabase

Stage Field

maps to

monday CRM

Status Column

1:1
Fully supported

Kinabase stage fields (Draft, Approved, In Progress, and custom stage labels per Collection) map to Monday.com Status columns. The status colour mapping is documented during field audit and applied during import so that stage semantics are visually preserved. Stage transition rules from Kinabase Workflows are documented but not migrated as automation.

Kinabase

Activity / Engagement

maps to

monday CRM

Activity Timeline or Update Column

1:1
Fully supported

Kinabase Activities (emails, calls, meetings logged against a Record) map to Monday.com Updates on the relevant Item or to a secondary Activity Board linked via Connect Column. We preserve timestamps, owner assignment, and activity type label. Activity content migrates as Update text or as a structured text column depending on the customer's preference for timeline visibility.

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

monday CRM logo

monday CRM gotchas

High

Subitems are not included in bulk exports

High

Daily API call limits vary sharply by plan

Medium

Legacy automations (Sentence Builder) are being deprecated

Medium

Excel and account exports only include table views

Low

Enterprise admins can disable non-admin exports

Pair-specific challenges

  • Kinabase API access requires a support email before export begins

    Kinabase does not provide a self-service developer portal. Teams must email [email protected] to obtain API credentials, and the response time is not guaranteed. We initiate the credential request during the discovery phase and use the admin CSV export as a fallback data source if credentials are delayed. Any automated migration pipeline depends on API access being active; if credentials arrive late, the timeline extends and CSV export substitutes. We confirm API access status at project kickoff and do not begin export planning without it.

  • Every migration requires field-level mapping — no standard object schema

    Kinabase's defining feature (user-defined Collections with custom Fields) is also the migration complexity. There is no standard Contact, Account, or Deal object to map against; every Collection has its own Field schema. We conduct a full field audit before any data moves, documenting each Field's type, format, and interdependencies. This audit typically takes three to five business days for customers with more than ten Collections. Skipping this step results in incorrect column type assignments in Monday.com that require manual correction post-import.

  • Linked collection field resolution requires dependency-ordered export

    Kinabase linked Collection fields create foreign-key references across Collections. A 'Client' field in a 'Projects' Collection points to a record in 'Clients' — if 'Clients' is not imported first, Monday.com cannot resolve the Connect Column reference. We export in dependency order: referenced Collections before referencing Collections. Circular references (Collection A links to B; B links to A) require denormalisation to a text field in one direction. We identify circular structures during the pre-migration audit and agree on a resolution strategy with the customer before export begins.

  • Computed Field formulas do not migrate — only evaluated values transfer

    Kinabase Computed Fields evaluate a formula expression dynamically when the record is viewed. Monday.com does not support formula columns. We evaluate every Computed Field at migration time and write the resulting value as a static Numbers or Text column. The formula definition is lost in the destination. We document each Computed Field, its formula logic, and its evaluated output in the migration audit report, so the customer's Monday.com admin can rebuild the logic as an Automation trigger or Integrations formula column if business logic depends on it.

  • Monday.com does not migrate Workflows, automations, or stage progression rules

    Kinabase Workflows define trigger-based actions, stage progression gates, role-based permissions, and scheduled automations per Collection. Monday.com Automations use a different event model (when an Item changes, then do this). We do not migrate Kinabase Workflows as code. We deliver a written inventory of every active Kinabase Workflow with its trigger, conditions, actions, and a recommended Monday.com Automation equivalent. The customer's admin rebuilds the automations in Monday.com after migration. This is a deliberate disclosure — migrating workflow logic between different automation engines without manual reconstruction produces unreliable results.

Migration approach

Six steps for a successful Kinabase to monday CRM data migration

  1. Discovery and field audit

    We audit every Kinabase Collection in the customer's account, documenting the Field schema for each (field name, type, format, required/optional status, interdependencies). We identify linked Collection fields, Computed Fields, stage Fields, and any Fields that reference external systems. We confirm that the customer has admin-level access to Kinabase for CSV export and API calls, and we initiate the API credential request to [email protected] at this stage. The audit output is a Collection inventory with field counts, relationship map, and estimated record volumes per Collection.

  2. Monday.com schema design and Board mapping

    We design the Monday.com CRM Board structure based on the Kinabase Collection inventory. Each Collection becomes a Board with column types matched from the Kinabase Field audit. For CRM-relevant Collections (Contacts, Clients, Companies), we map to Monday.com's native CRM entities where the schema aligns, or to custom Boards where the Collection structure does not fit a standard CRM entity. We agree on column-type assignments with the customer's admin before creating any Boards in the destination.

  3. Dependency analysis and export ordering

    We map the cross-Collection relationships from the linked field audit and produce a dependency graph. Collections with no incoming links export first; Collections referenced by others export before the Collections that reference them. Collections with circular linked references are identified and resolved through denormalisation to a text field or by removing one direction of the relationship. We produce a written dependency order document for customer sign-off before any data extraction begins.

  4. Data export and transformation

    We export Kinabase data via the admin CSV panel or API (whichever is available and faster for the data volume). Each Collection exports as a separate file. We evaluate Computed Field formulas at export time and append the evaluated value as an additional column. Linked Collection field references are resolved against the exported dependency order — parent records exist in the destination before child records that reference them. All data is validated for completeness (row counts, required field coverage, date format consistency) before the Monday.com load begins.

  5. Monday.com load and relationship establishment

    We load data into Monday.com Boards in dependency order using the API (items_batch mutation for bulk operations) or CSV import for smaller Boards. Connect Columns are configured after parent Boards have Items loaded. We preserve the original Kinabase record ID in a text column on each Item for reconciliation. Each Board load produces a row-count reconciliation report comparing Kinabase source records to Monday.com imported Items.

  6. Cutover, validation, and Workflow inventory delivery

    We run a final delta migration of any Kinabase records modified during the migration window. Once validated, we deliver the Monday.com sign-off package: row-count reconciliation per Board, field-mapping audit, dependency graph, and Workflow inventory document listing every Kinabase Workflow with its trigger, conditions, actions, and recommended Monday.com Automation equivalent. We support a one-week post-go-live window for reconciliation issues. We do not rebuild Kinabase Workflows as Monday.com Automations inside the migration scope.

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
monday CRM logo

monday CRM

Destination

Strengths

  • Board-based UI makes pipeline stages and deal progress visually obvious without training.
  • No-code automation builder requires no developer resources to create lead routing and stage-triggered actions.
  • Flexible column system supports custom CRM fields without schema changes or admin involvement.
  • Integrates natively with Slack, Gmail, Outlook, and Zapier with minimal configuration overhead.
  • Layered product means teams already on monday Work Management can add CRM without migrating existing data.

Weaknesses

  • No native Contacts object separate from Items — contacts are managed inside a CRM module's People feature.
  • Pipeline and deal relationships use a flat item model rather than a relational object model, making complex CRM associations awkward.
  • Automations are plan-gated (250 actions/month on Standard, 25,000 on Pro) and the legacy Recipe system is being deprecated.
  • Customization and advanced views (Chart, Formula, Dependency) are locked behind Pro and Enterprise tiers.
  • Per-seat pricing with non-refundable annual billing creates cost lock-in risk during migration.

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 monday CRM.

  • 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 monday CRM 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 monday CRM data migrations

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

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Migrations with fewer than 15 Collections, under 20,000 total records, and no complex cross-collection linked references complete in two to three weeks. Projects with many linked Collection dependencies, computed formula Fields, or more than 50,000 records extend to five to eight weeks because of dependency-ordered export, formula evaluation, and Connect Column configuration per relationship. The Kinabase API credential procurement step ([email protected] email) can add three to seven business days to the timeline if credentials are not already active.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Kinabase.
Land in monday CRM, intact.

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