Migrate your Kinabase data
A flexible workflow CRM built around user-defined Collections and Records. Kinabase starts simple and layers on complexity on demand—ideal for SMEs wanting a customisable operational hub, but lacking the opinionated object model of traditional CRMs.
In its favor
Why people choose Kinabase
The signal that keeps Kinabase on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Fast solution delivery for SMEs — reviewers report designing and deploying working CRM workflows in hours or days rather than the weeks typical of comparable platforms, making ERP-grade functionality accessible to smaller teams.
Fully custom data model — instead of fitting into a fixed object schema, teams define their own Collections, Fields, and relationships, which is attractive to businesses with non-standard processes.
Built-in workflow and automation — trigger-based rules, stage progression, role-based permissions, and scheduled actions come standard without requiring a separate automation add-on.
CSV export available to administrators — data portability is documented and supported natively, reducing lock-in risk and enabling migration projects without needing to contact support for basic exports.
Microsoft 365 integration — native Outlook activity capture, SharePoint folder organisation, and Entra ID SSO make it a natural fit for Microsoft-centric small businesses already in that ecosystem.
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.
Reasons to switch
Why people leave Kinabase
The recurring reasons buyers give for replacing Kinabase. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Kinabase fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
What gets migrated
Kinabase object support
Object-by-object support for Kinabase migrations. Per-pair details surface during scoping.
Collections
Fully supportedCollections are Kinabase's top-level object containers — equivalent to entity types. Every Collection has its own schema of Fields. We export each Collection as a separate CSV file or API call and replicate it as a distinct object type in the destination CRM.
Records
Fully supportedRecords are the individual rows within a Collection. We map each Record to the corresponding destination object and preserve all field values, handling nulls, empty strings, and multi-select dropdowns according to the destination's field type constraints.
Fields
Mapping requiredFields are the typed columns within a Collection — text, number, date, dropdown, computed, and linked collection fields. Custom fields are fully supported but require field-level mapping since Kinabase field names and types may not map 1:1 to the destination CRM's property schema.
Linked Collection Fields
Mapping requiredLinked collection fields create cross-collection references — a 'Client' field in a 'Projects' collection points to a record in the 'Clients' collection. We preserve these as foreign-key relationships, either as lookup fields or denormalised IDs depending on destination support.
Computed Fields
Mapping requiredComputed Fields derive their value from a formula or expression. These cannot be stored as formulas in most destination CRMs, so we evaluate them at migration time and store the resulting value as a static field. The formula itself is lost unless the destination supports computed properties.
Activities
Mapping requiredActivities track work history on a record — emails, calls, meetings. We map these to the destination CRM's activity or engagement object, preserving timestamps, owners, and content where the schema allows.
Tasks
Fully supportedTasks are standalone work items that can be associated with records. We map Tasks to the destination's task or to-do object, preserving assignees, due dates, status, and linked record associations.
Documents
Mapping requiredDocuments attached to records are exported by reference URL or filename. We handle document migration by mapping file associations; actual file content transfer depends on whether the destination supports file attachments on the target object.
Workflows
Mapping requiredWorkflows define stage progression, trigger-based automations, and approval gates. We capture workflow definitions and stage maps as structured data, but automated actions (triggers, notifications) cannot be replicated in systems with different automation engines.
Stages
Mapping requiredStages represent pipeline statuses within a Collection — Draft, Approved, In Progress, and so on. We preserve stage values as a categorical field on the target record, but the visual progress indicators and stage-requirement logic are Kinabase-native and do not transfer.
Views and Filters
Not in this platformViews and Filters are saved query definitions scoped to a Collection. These are user-interface constructs and do not represent actual data. We do not migrate views; we export the underlying records that the views would surface.
Integrations
Not in this platformIntegrations such as Microsoft 365 (Outlook, SharePoint, Entra ID SSO) are connection-level configurations. These cannot be migrated to a different platform. We do not replicate integration setup; the destination will require fresh OAuth or credentials configuration.
| Object | Support | Notes |
|---|---|---|
| Collections | Fully supported | Collections are Kinabase's top-level object containers — equivalent to entity types. Every Collection has its own schema of Fields. We export each Collection as a separate CSV file or API call and replicate it as a distinct object type in the destination CRM. |
| Records | Fully supported | Records are the individual rows within a Collection. We map each Record to the corresponding destination object and preserve all field values, handling nulls, empty strings, and multi-select dropdowns according to the destination's field type constraints. |
| Fields | Mapping required | Fields are the typed columns within a Collection — text, number, date, dropdown, computed, and linked collection fields. Custom fields are fully supported but require field-level mapping since Kinabase field names and types may not map 1:1 to the destination CRM's property schema. |
| Linked Collection Fields | Mapping required | Linked collection fields create cross-collection references — a 'Client' field in a 'Projects' collection points to a record in the 'Clients' collection. We preserve these as foreign-key relationships, either as lookup fields or denormalised IDs depending on destination support. |
| Computed Fields | Mapping required | Computed Fields derive their value from a formula or expression. These cannot be stored as formulas in most destination CRMs, so we evaluate them at migration time and store the resulting value as a static field. The formula itself is lost unless the destination supports computed properties. |
| Activities | Mapping required | Activities track work history on a record — emails, calls, meetings. We map these to the destination CRM's activity or engagement object, preserving timestamps, owners, and content where the schema allows. |
| Tasks | Fully supported | Tasks are standalone work items that can be associated with records. We map Tasks to the destination's task or to-do object, preserving assignees, due dates, status, and linked record associations. |
| Documents | Mapping required | Documents attached to records are exported by reference URL or filename. We handle document migration by mapping file associations; actual file content transfer depends on whether the destination supports file attachments on the target object. |
| Workflows | Mapping required | Workflows define stage progression, trigger-based automations, and approval gates. We capture workflow definitions and stage maps as structured data, but automated actions (triggers, notifications) cannot be replicated in systems with different automation engines. |
| Stages | Mapping required | Stages represent pipeline statuses within a Collection — Draft, Approved, In Progress, and so on. We preserve stage values as a categorical field on the target record, but the visual progress indicators and stage-requirement logic are Kinabase-native and do not transfer. |
| Views and Filters | Not in this platform | Views and Filters are saved query definitions scoped to a Collection. These are user-interface constructs and do not represent actual data. We do not migrate views; we export the underlying records that the views would surface. |
| Integrations | Not in this platform | Integrations such as Microsoft 365 (Outlook, SharePoint, Entra ID SSO) are connection-level configurations. These cannot be migrated to a different platform. We do not replicate integration setup; the destination will require fresh OAuth or credentials configuration. |
Gotchas
What to watch for in Kinabase migrations
Issues we've hit on past Kinabase migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
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
| Severity | Issue |
|---|---|
| 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 |
Leaving Kinabase?
Where Kinabase customers move next
12 destinations Kinabase can migrate to.
How a Kinabase migration works
Four steps, Kinabase-specific
Connect
Bearer token into Kinabase. Scopes limited to read-only on the data we move.
Map
We translate Kinabase-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Kinabase quirks before production.
Migrate
Full migration with Kinabase rate-limit handling. Rollback available throughout.
FAQ
Kinabase migration FAQ
Answers to the questions buyers ask most during Kinabase migration scoping. Not seeing yours? Book a call.
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