CRM

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.

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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

Highly customisable data model with no fixed object schemaWorkflow builder with stage progression, triggers, and role-based permissionsCSV export by administrators covers all Collections without contacting supportNative 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 provisioningRate limit of 100 requests per minute makes large exports time-consumingNo public pricing tiers — procurement and budget forecasting require a sales conversationLimited ecosystem, community, and third-party app supportCustom schema means every migration requires field-level mapping rather than a standard object import

Where it works

Small teams (under 50 employees) in SMEs seeking an operational hub without rigid CRM constraints, as the flexible Collections-and-Records model accommodates non-standard workflows that fixed-object CRMs cannot support.Microsoft 365-centric businesses already using Entra ID, Outlook, and SharePoint, where native SSO and activity capture reduce integration friction and keep data in a single ecosystem.Industries with bespoke processes—manufacturing, construction, professional services, creative agencies, and charities—where off-the-shelf CRM objects do not map to their actual operations.Businesses wanting ERP-grade functionality without a multi-week implementation: reviewers report designing and deploying working workflows in hours or days rather than months.Growing organisations that want to start simple and add complexity on demand, enabling them to use automations, reporting, and role-based permissions as they scale without migrating platforms.

Where it struggles

Large enterprises with dozens of concurrent users and hundreds of thousands of records, where the 100 requests-per-minute API rate limit makes automated data exports time-prohibitive.Organisations with strict security requirements around data egress, since CSV export is restricted to Administrator roles only and there is no self-service API provisioning—API access requires contacting support.Teams requiring transparent pricing or budget forecasting before purchase, as Kinabase publishes no public tier information, creating procurement friction and requiring a sales conversation to obtain basic cost estimates.Companies relying on third-party tools beyond Microsoft 365 (Google Workspace, Slack-heavy workflows, Salesforce integrations) who need a rich app marketplace or active community for support and plugins.Businesses requiring frequent bulk data operations or automated migration pipelines, where the combination of rate-limited pagination and manual API credential provisioning adds unacceptable project complexity.

What gets migrated

Kinabase object support

Object-by-object support for Kinabase migrations. Per-pair details surface during scoping.

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.

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

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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Most Kinabase migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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