CRM migration

Migrate from Kinabase to Odoo CRM

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

Kinabase logo

Kinabase

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

56%

10 of 18

objects map 1:1 between Kinabase and Odoo CRM.

Complexity

BStandard

Timeline

6-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Kinabase to Odoo CRM is a structural migration because Kinabase's flexible Collection-and-Record data model has no direct equivalent in Odoo's opinionated schema. Each Kinabase Collection is a distinct entity type with its own field definitions, and Odoo requires a matching model (res.partner, crm.lead, product.template, or a custom model) before any records can be imported. We audit every Collection during discovery, classify it as a Contact, Company, Lead, Opportunity, or Product, and provision the corresponding Odoo field schema before migration begins. Linked collection fields (cross-collection references) are resolved as many2one lookups or denormalised ID text fields depending on what the target schema supports. Computed Fields are evaluated at migration time and stored as static values. Odoo workflow stages, automation triggers, and integration configurations do not migrate; we deliver a written inventory of these for your admin to rebuild in Odoo Studio or via a Python module.

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

Odoo CRM logo

Odoo CRM

What's pulling them in

  • Teams choose Odoo CRM for its modular architecture — one base install with one-click app additions means they can adopt CRM alone and add accounting, inventory, or sales later as the business grows.
  • Small businesses pick Odoo because the Community edition is free and open-source, with no per-user or contact limits, allowing full evaluation before committing to a paid Enterprise tier.
  • The drag-and-drop Kanban pipeline and AI lead scoring are highlighted across G2 reviews as concrete features that make lead management faster and more visual than spreadsheet-based workflows.
  • Odoo's native integration with email, live chat, SMS, VoIP, and WhatsApp means inbound leads from multiple channels feed into a single pipeline without third-party middleware.
  • Companies in retail, supply chain, and construction value that Odoo's CRM module shares the same PostgreSQL database and UI as its ERP modules, eliminating data silos between sales and operations.

Object mapping

How Kinabase objects map to Odoo CRM

Each row shows how a Kinabase object lands in Odoo 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 (person-type records)

maps to

Odoo CRM

res.partner (address=False, contact_type=contact)

lossy
Fully supported

Person-type Kinabase Collections map to Odoo res.partner records with contact_type set to contact and address=False. We create the partner schema in Odoo (name, email, phone, custom fields) during the schema design phase before any records are loaded. The Kinabase Collection name becomes the Odoo model and field set. Each Collection requires its own field mapping because Kinabase schema is per-Collection rather than global.

Kinabase

Collection (organisation-type records)

maps to

Odoo CRM

res.partner (address=True, contact_type=company)

lossy
Fully supported

Organisation-type Kinabase Collections map to Odoo res.partner with contact_type=company, creating the parent record that individual contacts attach to via the child_id one2many relationship. If the original Kinabase Collection held both people and organisations, we split records by a type field or naming convention into company and contact partners during the transform phase.

Kinabase

Collection (deal or pipeline records)

maps to

Odoo CRM

crm.lead (type=opportunity)

lossy
Fully supported

Deal-type Kinabase Collections map to Odoo crm.lead with type=opportunity. The crm module must be installed in the target Odoo database for crm.lead and crm.stage to exist. Pipeline stage values from Kinabase map to crm.stage records ordered by sequence, with probability percentages preserved as stage_properties. Closed-won and closed-lost outcomes are set via the crm.lead stage.kanban_state field.

Kinabase

Collection (inquiry or unqualified prospect records)

maps to

Odoo CRM

crm.lead (type=lead)

lossy
Fully supported

Collections representing unqualified prospects, inbound inquiries, or pre-sales records map to Odoo crm.lead with type=lead. If the original Kinabase Collection contains both qualified and unqualified records, we split them by a status or stage field: leads map to type=lead, records with a deal value or signed scope map to type=opportunity. The customer decides the split rule during scoping.

Kinabase

Record

maps to

Odoo CRM

res.partner / crm.lead

1:1
Fully supported

Individual Kinabase Records map row-by-row to Odoo partners or crm.lead records depending on their parent Collection's classification. We handle null values, empty strings, and multi-select dropdowns by mapping them to Odoo's equivalent field types (char, text, selection, many2many). Multi-select values migrate to Odoo tags (ir.attachment with res_model=res.partner) or many2many fields if the schema is pre-configured.

Kinabase

Field (typed columns)

maps to

Odoo CRM

Custom field on res.partner or crm.lead

lossy
Fully supported

Kinabase field types map to Odoo field definitions: text to char or text, number to float or integer, date to date, datetime to datetime, dropdown to selection, file attachment to binary. Custom fields are created on the Odoo model via XML-RPC before import. All non-standard fields require a field-level mapping because Kinabase has no global field registry — each Collection has its own independent schema.

Kinabase

Linked Collection Field

maps to

Odoo CRM

many2one or many2many field

1:1
Fully supported

A Kinabase linked collection field (e.g., a Projects Collection with a Client field pointing to a Clients Collection) creates a cross-collection reference that Odoo must represent as a many2one foreign key on the child object. We export linked records in dependency order — parents first — and resolve the foreign key ID during the child load phase. Many-to-many linked fields (e.g., a Contact in multiple Teams) map to Odoo many2many relation tables. Orphaned references (linked record no longer exists) are preserved as a text field storing the original record identifier.

Kinabase

Computed Field

maps to

Odoo CRM

Stored char/float field

lossy
Fully supported

Kinabase computed Fields evaluate a formula at display time. Since Odoo Studio does not expose computed field formulas (computed fields require Python module development), we evaluate the formula at migration time and write the resulting value as a static stored field in Odoo. The formula logic is lost; only the computed result transfers. We flag every computed field in the pre-migration field audit and document the original formula for the customer's developer if they want to rebuild it as an Odoo computed field.

Kinabase

Activity (calls, emails, meetings)

maps to

Odoo CRM

mail.activity

1:1
Fully supported

Kinabase activity records (engagement history on a record) map to Odoo mail.activity with activity_type_id set from the standard Odoo activity types (Email, Call, Meeting, Todo). Activity dates migrate as date and create_date; assigned user migrates as res.users by email match. The mail.thread mechanism on res.partner and crm.lead surfaces activities in Odoo's chatter UI automatically.

Kinabase

Task

maps to

Odoo CRM

project.task (if project module active) or mail.activity

1:1
Fully supported

Kinabase standalone Tasks map to Odoo project.task if the project module is active and a project exists to host them. Without the project module, Tasks migrate as mail.activity records with activity_type_id=Todo. We verify whether the project module is installed during discovery and configure the mapping accordingly.

Kinabase

Engagement: Email

maps to

Odoo CRM

mail.message

1:1
Fully supported

Kinabase email engagements migrate to Odoo mail.message records linked via mail.thread (res.partner, crm.lead, project.task) with message_type=email. Body content and subject line migrate as the message body; sender and recipient are mapped from the Kinabase engagement contact references. Email attachments migrate as ir.attachment records linked via mail.message.attachment.

Kinabase

Engagement: Call

maps to

Odoo CRM

mail.activity (activity_type_id=Call)

1:1
Fully supported

Kinabase call engagements map to Odoo mail.activity with activity_type_id=Call. Call duration, disposition, and recording URL migrate to custom activity fields if pre-configured on the Odoo model. The activity date reflects the original call timestamp to preserve the chronological timeline in Odoo's chatter.

Kinabase

Engagement: Meeting

maps to

Odoo CRM

calendar.event

1:1
Fully supported

Kinabase meeting engagements map to Odoo calendar.event with start_datetime, stop_datetime, and location preserved. Attendee links are created as calendar.attendee records pointing to the resolved res.partner and res.users records. The event is linked to the parent record (crm.lead, res.partner, project.task) via the calendar.event.res_id and res_model fields.

Kinabase

Engagement: Note

maps to

Odoo CRM

mail.message (message_type=comment)

1:1
Fully supported

Kinabase engagement Notes migrate to Odoo mail.message with message_type=comment. The note body becomes the message body; attachments become ir.attachment records linked via mail.message.attachment. Notes are linked to the parent record via mail.thread, making them visible in the Odoo chatter pane for the corresponding partner or lead.

Kinabase

Document

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

Kinabase documents attached to records migrate as Odoo ir.attachment records. If the source document is a URL reference, we store the URL in the ir.attachment.url field. If the source provides a file blob via API, we download and upload it as binary. Actual file content transfer depends on whether the source export includes binary data; URL references are always migrated regardless of blob availability.

Kinabase

Stage

maps to

Odoo CRM

crm.stage

lossy
Fully supported

Kinabase pipeline stages map to Odoo crm.stage records ordered by sequence. The stage name, probability percentage, and is_won flag transfer. Kinabase automation triggers and approval gates are captured as a written inventory separate from the stage record; they do not migrate as executable code because Odoo automation requires a separate Studio or Python configuration.

Kinabase

Workflow

maps to

Odoo CRM

crm.team + crm.stage automation inventory

lossy
Fully supported

Kinabase workflows (stage progression rules, triggers, role-based permissions, scheduled actions) are captured as a structured written inventory during discovery. We document each workflow's trigger condition, actions, and stage mapping. Odoo CRM automations (server actions, automated actions on stage change) require configuration in Odoo Studio or Python development; the inventory provides the requirements spec for the customer's admin or Odoo partner to rebuild. Workflow execution logic does not migrate as functional code.

Kinabase

Tag (custom property)

maps to

Odoo CRM

res.partner.category (or custom tag model)

1:1
Fully supported

Kinabase tags stored as multi-checkbox custom properties migrate to Odoo res.partner.category (the built-in partner tag system) via ir.model.data references. If the Kinabase tag vocabulary is large or used across multiple object types, we recommend a custom tag model rather than the standard partner category to avoid scope confusion.

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

Odoo CRM logo

Odoo CRM gotchas

High

Odoo.sh version gating blocks assisted migrations from trial

High

Enterprise modules fail to install on Community after database restore

Medium

Custom module view inheritance breaks between Odoo major versions

Medium

Custom fields risk losing their application context on Community

Low

API access for Community is gated behind the Custom Plan

Pair-specific challenges

  • API access requires a support request before migration begins

    Kinabase does not offer a self-service developer portal for API credentials. Teams must email [email protected] to obtain a bearer token, which means the migration timeline cannot start until credentials are provisioned. In practice, credential provisioning can take 1-3 business days depending on Kinabase's support response time. We begin the credential request early in the discovery phase and use the admin CSV export panel as a parallel fallback data source so that a delayed API response does not block scoping. If admin CSV access is also unavailable (non-admin accounts cannot export), this is a migration blocker that must be resolved with the Kinabase account owner before work begins.

  • Odoo CRM module must be installed before crm.lead exists

    Odoo CRM is one module within the Odoo suite. The crm.lead model (which maps to Kinabase deal and inquiry Collections), crm.stage, and crm.team only exist after the crm module is installed via the Apps menu or command line. If the target Odoo database is a fresh Community installation without the CRM module, the schema design phase must include module installation and verification. We confirm the installed module set during discovery and provision the crm module schema before any crm.lead records are loaded. Migrations that attempt to write to crm.lead in a database without the crm module installed will return a MissingError at the API layer.

  • Kinabase Collection schema has no global field registry

    Every Kinabase Collection has its own independent field definitions, which means there is no single global field list to audit. Two Collections can both have a field called 'Status' with different field types, dropdown values, or computed logic. When mapping to Odoo, we must treat each Collection as a separate schema design task rather than a single field mapping exercise. We audit every Collection individually during discovery, produce a per-Collection field map, and flag any fields that appear in multiple Collections with incompatible types. This discovery overhead is unique to Kinabase and does not apply when migrating from platforms with a global object schema.

  • Computed Field formulas do not survive migration

    Kinabase computed Fields use a formula language evaluated at display time, and the formula itself is not persisted as data. Odoo does not support computed fields through Studio configuration; formula fields require a custom Python module. We evaluate every computed field at migration time and write the resulting value as a static stored field, but the formula is not preserved. We document each original formula with its field name, input fields, and computed result in the pre-migration field audit so the customer's Odoo developer can rebuild it as a custom computed field if needed.

  • Cross-collection linked references need parent-first migration order

    Kinabase linked collection fields create first-class cross-collection references that Odoo must represent as foreign key lookups on the child object. If a Projects Collection links to a Clients Collection, the Clients records must be migrated first so that Odoo partner IDs are available for the foreign key when Projects records are loaded. We sequence all Collections in dependency order using a topological sort of the relationship graph before any data moves. Collections with circular references (A links to B, B links to A) require denormalisation — we store the original linked record identifier as a text field and document the relationship for manual resolution.

Migration approach

Six steps for a successful Kinabase to Odoo CRM data migration

  1. Discovery and credential procurement

    We audit every Kinabase Collection via the admin CSV panel (or API once credentials are provisioned) and document the schema for each: field names, field types, dropdown values, computed field formulas, and linked collection references. We simultaneously request Kinabase API credentials from [email protected] to enable programmatic export. We verify Odoo module availability (crm module installed, Community vs Enterprise edition) and inspect the target Odoo database schema. The discovery output is a written scope document listing every Collection, its Odoo target model, field-level mapping for each, and the relationship dependency graph with any circular references flagged.

  2. Schema provisioning in Odoo

    We create the Odoo field schema for every target model before any data loads. This includes custom fields on res.partner and crm.lead (via CSV import into ir.model.fields or direct SQL for complex configurations), crm.stage records with sequence and probability, crm.team records, and product.template records if the source includes product Collections. The schema is deployed into the target Odoo database via XML-RPC. We run a field-level smoke test (write a single record, read it back via API) to verify the field type mapping before beginning bulk import. If any computed field needs Odoo formula reconstruction, we document the requirements spec here for the customer's developer.

  3. Relationship graph sequencing and parent-first export

    We build the relationship dependency graph from all Kinabase linked collection fields. Collections with no inbound links are classified as root nodes (parents) and exported first. Child Collections are exported after their parents so that Odoo partner IDs are available for foreign key resolution during the child load. Collections with circular references are flagged; we denormalise the reference as a text field and document the circular pair for manual resolution post-migration. This sequencing step is unique to Kinabase's flat data model and does not apply to platforms with a built-in hierarchical object schema.

  4. Production migration in dependency order

    We run the migration into the production Odoo database in the sequenced order: res.partner (organisations first, contacts second with parent_id resolved), crm.lead (leads, then opportunities with partner_id and team_id resolved), product.template, then activity history (mail.activity, mail.message, calendar.event). Each phase emits a row-count reconciliation report comparing Kinabase source record count to Odoo destination record count. Any discrepancy above the expected null-rate threshold triggers a re-export of the affected collection with verbose error logging. We use Odoo's XML-RPC with batch chunking (500 records per call) and handle 404 errors on parent-record lookups by falling back to the denormalised ID text field.

  5. Cutover, validation, and automation rebuild handoff

    We freeze Kinabase writes during the cutover window, run a final delta migration of any records modified during the migration run, then confirm Odoo as the system of record. We deliver the Workflow and Stage Automation inventory document to the customer's Odoo admin. We do not configure Odoo Studio automations, server actions, or scheduled actions inside the migration scope; that work is documented as a separate configuration engagement. We support a one-week post-cutover window to resolve any record reconciliation issues reported by the Odoo user team.

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
Odoo CRM logo

Odoo CRM

Destination

Strengths

  • Modular open-source architecture lets teams start with CRM and add ERP apps as needs grow, all sharing one PostgreSQL database.
  • Free Community edition with no contact limits and full source code access means zero licensing cost for evaluation and small deployments.
  • Drag-and-drop Kanban pipeline with AI lead scoring gives a visual, prioritized view of the sales funnel without requiring custom configuration.
  • Native integrations with email, live chat, SMS, VoIP, WhatsApp, and social media feed all inbound leads into a single unified inbox.
  • Active Odoo Community Association (OCA) maintains dozens of community-maintained modules on GitHub for extended functionality.

Weaknesses

  • Gmail and email integration reliability is a recurring complaint — threads drop and conversations scatter across inboxes, disrupting sales team workflows.
  • Enterprise edition pricing stacks quickly: multiple apps at per-user rates ($25–$50/user/month) plus Odoo.sh hosting costs more than many SMBs anticipate.
  • Setup and configuration complexity increases significantly once custom fields, automation rules, and multiple installed modules are in play.
  • Odoo.sh trial databases run on a version (e.g., 18.3) that is not directly migratable to Odoo.sh, blocking the assisted migration path Odoo advertises.
  • Version upgrades between major Odoo releases (e.g., 17→18) frequently break custom module view definitions and XPath expressions, requiring manual remediation.

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 Odoo 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 Odoo 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 Odoo CRM data migrations

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

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Most Kinabase to Odoo CRM migrations land between six and eight weeks for accounts with a small number of Collections (under 10) and fewer than 5,000 records. Migrations involving multiple Collections, complex cross-collection relationship graphs, computed field evaluation, or large activity histories (over 200,000 engagement records) extend to ten to fourteen weeks. The discovery and schema provisioning phase alone takes two to three weeks because each Kinabase Collection requires an independent field audit and Odoo schema design. Odoo data migration services from providers like Softhealer estimate one to three weeks for data-only work; FlitStack AI's estimate includes discovery, schema design, and relationship sequencing which adds front-end time.

Adjacent paths

Related migrations to explore

Ready when you are

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