CRM migration

Migrate from Star CRM to Odoo CRM

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

Star CRM logo

Star CRM

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

58%

7 of 12

objects map 1:1 between Star CRM and Odoo CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Star CRM and Odoo CRM have structurally different data models that require explicit mapping before migration. Star CRM uses a flat Contact object that combines what Odoo separates: res.partner for both contacts and companies, plus crm.lead for unqualified prospects and crm.opportunity for qualified deals. We resolve the contact-company relationship during scoping, pre-configure Odoo's pipeline stages as crm.stage records before data lands, and map Star CRM's Deals to Odoo's crm.lead and crm.opportunity split based on deal maturity indicators. Star CRM's lack of a public API spec means we perform live schema discovery against the source instance during scoping rather than relying on documentation that does not exist. We do not migrate workflows, automations, or sequences; we deliver a written inventory for the customer's admin to rebuild in Odoo's automation framework.

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

Star CRM logo

Star CRM

What's pushing teams away

  • Limited documentation and public API availability make it difficult to integrate Star CRM with other business tools or build custom workflows.
  • Small teams may eventually need advanced automation, AI features, or scalability that Star CRM does not provide at higher tiers.
  • G2 notes there are not enough public reviews to assess the platform thoroughly, which raises questions about long-term viability and community support.

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 Star CRM objects map to Odoo CRM

Each row shows how a Star CRM 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.

Star CRM

Contact

maps to

Odoo CRM

res.partner

1:1
Fully supported

Star CRM Contacts map to Odoo res.partner records. Individual contacts are res.partner records with partner_type='contact'; company records are res.partner with partner_type='company'. We use the Star CRM contact email as the dedupe key during import. Name, email, phone, and address fields migrate directly. Custom contact properties discovered during live API scoping map to Odoo custom fields, which we pre-create as ir.model.fields before the import phase begins.

Star CRM

Company

maps to

Odoo CRM

res.partner (organization)

1:1
Fully supported

Star CRM Company records map to res.partner with partner_type='company'. Company name becomes the partner's name field, and address fields migrate as address fields on the partner. Individual Contacts from Star CRM that are linked to a Company are imported as child res.partner records with parent_id pointing to the company partner, preserving the Star CRM contact-company relationship. We resolve parent_id by matching on the company name or company ID during the import phase.

Star CRM

Deal

maps to

Odoo CRM

crm.lead and crm.opportunity (split based on stage)

1:many
Fully supported

Star CRM Deals do not have an explicit Lead vs Opportunity distinction. We split at migration time using stage indicators: Deals in early stages (New, Qualified, or equivalent) map to Odoo crm.lead; Deals in later stages (Proposal Sent, Negotiation, Closed Won/Lost) map to crm.opportunity. We preserve the original Star CRM deal value in crm.lead and crm.opportunity expected_revenue. The split rule is documented during scoping and approved by the customer's admin before migration.

Star CRM

Deal Stage

maps to

Odoo CRM

crm.stage

lossy
Fully supported

Star CRM pipeline stages map to Odoo crm.stage records in a named stage sequence. We create each Odoo stage record before migration, preserving the stage name, sequence order, and probability percentage from Star CRM. Stage-specific actions from Star CRM (stage-change automations) are documented in the automation inventory and do not migrate as code.

Star CRM

Pipeline

maps to

Odoo CRM

crm.team

lossy
Fully supported

Star CRM Deal pipelines map to Odoo crm.team (sales team) records. We create a crm.team per Star CRM pipeline during the Odoo configuration phase, and assign the migrated crm.lead and crm.opportunity records to the appropriate team based on the Star CRM pipeline assignment. Team member assignments map from Star CRM Owner records.

Star CRM

Activity (calls, emails, meetings, notes)

maps to

Odoo CRM

mail.message

1:1
Fully supported

Star CRM Activities (calls, emails, meetings, notes) migrate to Odoo mail.message records linked via model and res_id to the parent res.partner, crm.lead, or crm.opportunity. Activity type maps to Odoo's mail.message.message_type field (email, comment, notification). Date and time preserve from Star CRM. Call duration and disposition migrate to custom mail.message fields if present in the source. Email body content migrates as mail.message.body (HTML).

Star CRM

Lead (if distinguished from Contact in Star CRM)

maps to

Odoo CRM

crm.lead

1:1
Fully supported

Where Star CRM distinguishes a separate Lead object from Contact, those records migrate to Odoo crm.lead as unqualified prospects. Lead source and any lead-specific custom properties migrate to crm.lead custom fields. Leads that have been converted to Contacts in Star CRM are handled as part of the Deal migration flow and do not duplicate as crm.lead records.

Star CRM

Owner (User)

maps to

Odoo CRM

res.users

1:1
Fully supported

Star CRM Owners map to Odoo res.users by email match. We extract every distinct owner referenced on Contact, Company, Deal, and Activity records and match by email against the destination Odoo instance's res.users table. Any Star CRM owner without a matching Odoo user is placed in a reconciliation queue for the customer's admin to provision before record import resumes. Inactive Star CRM owners migrate as inactive Odoo users if flagged for inclusion.

Star CRM

Tag

maps to

Odoo CRM

crm.tag

lossy
Fully supported

Star CRM Tags on Contacts or Deals migrate to Odoo crm.tag records. Tags on Contacts link to crm.lead and crm.opportunity via crm.tag.rel. Multi-select tags migrate as separate tag assignments per record. We create the crm.tag records before import and re-associate them during the data load phase.

Star CRM

Custom Properties (on any object)

maps to

Odoo CRM

Custom ir.model.field (pre-configured)

lossy
Fully supported

Star CRM custom properties on Contacts, Companies, Deals, or Activities require pre-configuration in Odoo before migration. We perform live API discovery against Star CRM during scoping to enumerate all custom property names, data types, and values. We then create corresponding ir.model.field records in Odoo (as ir.model.fields) before the data import phase begins. Migration cannot load data into non-existent custom fields in Odoo, so this pre-configuration step is a prerequisite for any migration involving custom properties.

Star CRM

Attachment

maps to

Odoo CRM

ir.attachment

1:1
Fully supported

Star CRM exports attachments as individual files per record without a structured archive. We download all attachment files, build a manifest linking each file to its parent record ID, and re-upload them to Odoo as ir.attachment records linked via res_model and res_id to the correct res.partner, crm.lead, or crm.opportunity. This step adds time to projects with heavy attachment volume and requires the parent records to exist in Odoo before attachments can be associated.

Star CRM

Engagement history (full timeline)

maps to

Odoo CRM

mail.message chain

1:1
Fully supported

Star CRM engagement history (combined calls, emails, meetings, and notes on a per-record basis) migrates as a chronological mail.message chain in Odoo. We preserve the original timestamp on each message, maintain the parent-child message threading where available in Star CRM, and link each message to the correct res.partner or crm.lead/opportunity by resolving res_id at migration time. Engagement history that spans multiple years may be scoped to a 24-month window during scoping to reduce migration volume.

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.

Star CRM logo

Star CRM gotchas

High

Sparse public documentation and no published API spec

High

No bulk export endpoint confirmed

Medium

Attachment export produces individual files per record

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

  • Star CRM has no publicly documented API

    Star CRM does not publish API documentation or a public developer portal. We cannot enumerate the schema or verify field names from documentation before migration. We handle this by performing live API discovery calls against the Star CRM instance during scoping, exporting a sample record set to infer the actual field structure, and building field mappings from that observed data. This discovery step adds a dedicated scoping phase to the project timeline and must complete before the Odoo schema can be fully configured.

  • Star CRM has no confirmed bulk export endpoint

    The research did not surface a bulk data export or batch API endpoint for Star CRM. If the platform requires record-by-record export through the UI or a single-record API, large databases take significantly longer to extract. We automate repeated API calls with pagination and request batching where the observed API supports it, and we run exports during off-peak hours to minimize throttling or session timeout risk. This constraint affects the data extraction timeline estimate provided during scoping.

  • Odoo custom fields must exist before data loads

    Odoo requires custom fields to be pre-created as ir.model.field records before any data can be written to them. If Star CRM has custom properties on Contacts, Companies, Deals, or Activities, we must enumerate them during live API discovery, configure the corresponding Odoo custom fields, and deploy them to the destination Odoo instance before beginning the data import phase. Skipping this step results in custom property data being silently dropped during import. We treat this as a prerequisite configuration step, not a post-migration task.

  • Odoo pipeline stages are configuration records, not picklist values

    Odoo CRM stores pipeline stages as crm.stage records within a stage sequence, not as picklist values on the Opportunity object. Star CRM stores stage names directly on the Deal record. Before migrating any Deal records, we must create the Odoo crm.stage records in the correct sequence, map each Star CRM stage to its Odoo equivalent, and set probability percentages. Stage-specific business rules from Star CRM (such as automatic stage-change notifications) do not migrate automatically and are documented in the automation inventory for the customer's admin to rebuild in Odoo.

  • Data deduplication is required before Odoo import

    Star CRM data often contains duplicate Contacts (same email address or name) and duplicate Company records (same business name or domain) that were not enforced at entry time. Odoo's res.partner model has deduplication logic, but it fires post-import and can create orphaned records. We deduplicate in the source before export by matching on email for Contacts and domain or name for Companies, merging the most complete record per duplicate set. This cleanup step is scoped during discovery and adds time for accounts with high duplicate rates.

Migration approach

Six steps for a successful Star CRM to Odoo CRM data migration

  1. Live API schema discovery

    We connect to the Star CRM instance via its observed API endpoint and export a sample record set across all object types (Contacts, Companies, Deals, Activities, Leads). We infer field names, data types, relationship fields, and custom property definitions from the actual API responses rather than from documentation that does not exist. The discovery output is a written schema map with field-level data type annotations that serves as the foundation for Odoo field pre-configuration. This step is a prerequisite before any Odoo custom field can be created.

  2. Odoo schema pre-configuration

    We configure the destination Odoo instance before any data is loaded. This includes creating all necessary crm.stage records in the correct sequence, creating crm.team records per Star CRM pipeline, creating crm.tag records from Star CRM tag names, and pre-creating all Odoo custom fields (ir.model.field) to match the Star CRM custom properties discovered during schema discovery. Custom fields are deployed to the Odoo instance in a staging environment first for validation. Migration cannot proceed past this step until the Odoo schema is complete.

  3. Data extraction and deduplication

    We extract all Contact, Company, Deal, Activity, and Attachment records from Star CRM using the observed API with automated pagination. During extraction, we run deduplication passes: matching on email for Contacts and on company name or domain for Companies. The deduplication rules are documented and approved by the customer before export. Attachments are downloaded to a managed file store with a manifest linking each file to its parent record ID. Inactive records, records beyond the agreed migration window, and records flagged for archival are excluded per the scoping agreement.

  4. Data transformation and object splitting

    We transform the extracted records to Odoo's data model. Contacts and Companies become res.partner records with the appropriate partner_type and parent_id hierarchy. Deals split into crm.lead and crm.opportunity based on the stage-split rule agreed during scoping. Activities map to mail.message records linked to the parent record. Owners resolve by email match against Odoo res.users. Custom property values transform to the pre-created Odoo custom fields. The transformation output is a set of CSV or JSON files per Odoo object, ready for the Odoo data import wizard or XML-RPC API.

  5. Staging import and reconciliation

    We run a full migration into the Odoo staging environment using production-equivalent data volume. The customer reconciles record counts (partners, leads, opportunities, messages), spot-checks 20-40 records against the Star CRM source, and approves the mapping before production migration begins. Attachment re-association is validated in staging by confirming that at least 90% of ir.attachment records link to a valid res_model and res_id. Mapping corrections happen in staging, not in production.

  6. Production migration and cutover

    We freeze Star CRM writes during the cutover window, run a final delta migration to capture any records modified since staging, then complete the production import in dependency order: res.partner (companies first), res.partner (contacts with parent_id resolved), crm.team, crm.stage, crm.tag, crm.lead, crm.opportunity, mail.message, ir.attachment. Each phase emits a row-count reconciliation report. We deliver the automation inventory document listing all Star CRM workflow-equivalent rules for the customer's admin to rebuild in Odoo's automation framework.

  7. Post-migration validation and handoff

    We perform post-migration validation including record count matching, spot-checks on 25-50 records for field-level accuracy, and confirmation that parent-child relationships (contact to company, opportunity to contact, message to partner) are intact. We support a five-business-day hypercare window for reconciliation issues raised by the customer's team. Workflow, automation, and sequence rebuilds are outside the standard migration scope; we deliver a written inventory and recommend an Odoo partner or internal admin for that work.

Platform deep dives

Context on both ends of the pair

Star CRM logo

Star CRM

Source

Strengths

  • Clean, focused interface for contact and relationship management
  • Positive user sentiment on G2 with a 4.5 out of 5 star rating
  • Straightforward core CRM feature set suitable for small teams
  • Provides visibility into customer interactions and sales activity

Weaknesses

  • No publicly documented API or developer portal
  • Limited review volume makes long-term platform health difficult to assess
  • Appears to lack advanced automation, AI, or enterprise-scale features
  • Data portability and export options are not well documented
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. 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 Star CRM and Odoo CRM.

  • 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

    Star CRM: Not applicable.

  • Data volume sensitivity

    B

    Star CRM doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Star CRM 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 Star CRM to Odoo CRM data migrations

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

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Most migrations land between three and five weeks for accounts under 10,000 Contacts, 2,000 Companies, and 3,000 Deals with no custom properties on multiple objects. Migrations with custom properties, multi-pipeline Deal structures, large activity histories (over 100,000 engagement records), or complex contact-to-company relationship re-building move to eight to twelve weeks because of live schema discovery overhead, Odoo custom-field pre-configuration, and mail.message re-linking work. The live schema discovery phase adds one to two weeks to the scoping timeline for Star CRM specifically.

Adjacent paths

Related migrations to explore

Ready when you are

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