CRM migration

Migrate from TeamWave to Odoo CRM

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

TeamWave logo

TeamWave

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

75%

9 of 12

objects map 1:1 between TeamWave and Odoo CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from TeamWave to Odoo CRM is a transition from a thin-API all-in-one suite to an open-source ERP platform where the CRM module is one app among dozens. TeamWave provides no documented public API, so all extraction relies on CSV exports from the web interface. We script repeated UI exports for large datasets, cross-reference embedded foreign keys to reconstruct Deal-to-Contact and Task-to-Project relationships, and load everything into Odoo via XML-RPC in dependency order. Odoo splits unqualified prospects into crm.lead and qualified buyers into res.partner; we resolve this split during scoping using TeamWave's lifecycle stage property. Projects and Tasks do not map to Odoo CRM objects directly — they belong to Odoo Project — so we deliver a project-structure manifest for the customer's Odoo administrator to configure post-migration. We do not migrate Workflows, automations, or forms as code; we inventory them in writing for manual rebuild.

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

TeamWave logo

TeamWave

What's pushing teams away

  • Limited advanced customization on workflows, dashboards, and reports forces growing teams to switch to HubSpot, Pipedrive, or Zoho once their process complexity increases.
  • Reporting lacks deep analytical capabilities; teams that need cohort analysis, attribution, or BI-grade dashboards have to export to spreadsheets or move to a dedicated CRM.
  • No publicly documented API or developer portal blocks any meaningful integration with marketing automation, finance systems, or custom internal tools.
  • Thin third-party review corpus (24 reviews on G2, a handful on Capterra) and the vendor's unfunded status since 2015 raise long-term viability concerns for teams making multi-year commitments.
  • Attachments cannot be exported in bulk and the HR module is light on payroll, time-off accrual, and compliance features compared to BambooHR or Gusto, so teams outgrow it quickly on the people-operations side.

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 TeamWave objects map to Odoo CRM

Each row shows how a TeamWave 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.

TeamWave

Contact

maps to

Odoo CRM

crm.lead or res.partner (split required)

1:many
Fully supported

TeamWave Contacts with lifecycle stage indicating a qualified prospect or customer (Stage = Customer, Evangelist, or other post-sale state) map to Odoo res.partner. Contacts with lifecycle stage = Lead, Subscriber, or Marketing Qualified map to Odoo crm.lead. We compute the split using TeamWave's lifecycle_stage export field, create crm.lead records for unqualified prospects and res.partner records for qualified contacts, and preserve the original TeamWave lifecycle stage as a custom Char field tw_original_lifecycle__c on both record types for audit.

TeamWave

Company

maps to

Odoo CRM

res.partner (company type)

1:1
Fully supported

TeamWave Company records map to Odoo res.partner with is_company = True. The company name, domain, website, and address fields migrate directly. We create the Company partner record before any Contact import so that the child_contact.parent_id foreign key is satisfied at insert time. TeamWave's company_id foreign key on Contact is preserved as a cross-reference column in the migration manifest.

TeamWave

Deal

maps to

Odoo CRM

crm.lead

1:1
Fully supported

TeamWave Deals map to Odoo crm.lead records. The dealstage property maps to crm.lead stage_id (a Many2one to crm.stage). Pipeline assignment maps to crm.lead.team_id, which we pre-create in Odoo during schema setup. Deal value maps to crm.lead.planned_revenue, and expected close date maps to crm.lead.date_deadline. Closed-Won and Closed-Lost reasons from custom TeamWave fields become crm.lead.lost_reason if the Odoo version supports it, or a custom Char field tw_lost_reason__c.

TeamWave

Deal Stage

maps to

Odoo CRM

crm.stage

lossy
Fully supported

TeamWave pipeline stages are extracted from the Deal export and mapped to crm.stage records within the target CRM team. We configure stage names, sequence order, and probability percentages (probability field) in Odoo before Deals are loaded. For Odoo versions 14 and above, the kanban_color field on stage is also migrated if TeamWave uses pipeline color coding.

TeamWave

Project

maps to

Odoo CRM

project.project (separate app)

1:1
Fully supported

TeamWave Project records do not map to Odoo CRM objects; they belong to the Odoo Project app, which is a separate installation and licensing scope. We transfer project records as a structured manifest (project name, client association, start/end dates, status, and description) for the customer's Odoo administrator to create project.project records post-migration. The TeamWave project_id foreign key on Task is preserved in the manifest for reassignment in Odoo Project.

TeamWave

Task

maps to

Odoo CRM

project.task (separate app)

1:1
Fully supported

TeamWave Tasks linked to Projects map to Odoo project.task records. Tasks linked to Contacts or Deals without a Project map to crm.lead activity records (crm.activity) or project.task with project_id left null, depending on the customer's Odoo setup. Assignee (hubspot_owner_id equivalent) resolves via email match to res.users.

TeamWave

User / Team Member

maps to

Odoo CRM

res.users

1:1
Fully supported

TeamWave User records (name, email, role, department) map to Odoo res.users. We match by email address during migration. Any TeamWave Owner referenced on a Deal or Contact without a matching Odoo User is placed in a reconciliation queue for the customer's admin to provision before the import resumes. Active/inactive status in TeamWave maps to Odoo active = True/False.

TeamWave

Calendar Event

maps to

Odoo CRM

calendar.event

1:1
Fully supported

TeamWave Calendar Events (event title, date/time, linked entity type and ID, attendees) map to Odoo calendar.event records. We resolve the linked entity reference (Deal, Project, or Contact) to the migrated Odoo crm.lead.id or res.partner.id and set calendar.event.res_id and res_model accordingly. Attendees migrate as calendar.attendee records linked to the event.

TeamWave

HR Record / Employee

maps to

Odoo CRM

res.partner (internal) or hr.employee

1:1
Fully supported

TeamWave employee records map to Odoo hr.employee if the Odoo HR app is installed, or to res.partner records with internal = True if only CRM is deployed. Name, role, department, and contact information migrate directly. If the customer runs TeamWave HR alongside CRM and moves only CRM to Odoo, we recommend a separate HR migration engagement for the Odoo HR app scope.

TeamWave

Custom Field (Contacts, Deals)

maps to

Odoo CRM

ir.model.fields (custom)

lossy
Fully supported

TeamWave custom fields on Contacts and Deals are exported alongside standard fields. We create matching custom fields in Odoo via the Settings > Technical > Custom Fields interface (or programmatically via XML data migration) before loading data. Char, Integer, Float, Date, and Selection field types migrate directly; multi-select and complex custom field types require case-by-case review during scoping.

TeamWave

Attachment Metadata

maps to

Odoo CRM

ir.attachment (re-upload manifest)

1:1
Fully supported

TeamWave stores attachments linked to Contacts, Deals, and Projects but provides no bulk download mechanism. We extract attachment metadata (filename, size, linked object type, and TeamWave record ID) and produce a re-upload manifest. The customer manually downloads from TeamWave and re-uploads to Odoo ir.attachment records linked to the migrated res.partner or crm.lead. Binary attachment files do not migrate programmatically.

TeamWave

Tag

maps to

Odoo CRM

crm.tag

1:1
Fully supported

TeamWave tags on Contacts and Deals migrate to Odoo crm.tag records via crm.lead.tag_ids (many2many). Tags used for content classification or project categorization are separated from CRM tags and listed in the project-structure manifest for Odoo Project tag configuration.

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.

TeamWave logo

TeamWave gotchas

High

No publicly documented API endpoint surface

Medium

Attachment export requires manual re-upload

Medium

Free tier enforces feature caps that affect migration scope

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

  • TeamWave has no API; all extraction is CSV-based

    TeamWave does not publish API documentation and all data extraction relies on CSV exports from the web interface. If the customer's dataset exceeds the UI's single-export batch limit, we script repeated UI exports and merge the results. Large datasets (over 10,000 records per object) require more export iterations and take longer to extract. We validate CSV completeness against record counts before beginning Odoo load and flag any gaps from truncated exports.

  • Odoo Lead-to-Partner conversion has no automated equivalent

    TeamWave's single Contact object with a lifecycle stage property does not map directly to Odoo's two-model structure (crm.lead for unqualified, res.partner for qualified contacts). We define the split rule during scoping by mapping TeamWave's lifecycle stages to either crm.lead or res.partner. Migrations that skip this step produce Odoo records with missing or incorrect partner associations, breaking the CRM-to-Account relationship that Odoo's reporting and pipeline views depend on.

  • Odoo custom field migration requires pre-deployment of schema

    Odoo custom fields on crm.lead and res.partner must be created in the Odoo database before any data containing those fields is loaded. We deploy custom field definitions via XML data migration or the Settings > Technical UI before importing any record batches. If custom fields are missed during scoping and data is loaded without them, the values stored in those fields are silently dropped by Odoo's ORM on insert.

  • Projects and Tasks are not CRM objects in Odoo

    TeamWave Projects and Tasks are core objects in that platform but live in the Odoo Project app, which is separate from Odoo CRM. Migrating them to Odoo requires installing the project.project and project.task models and extending the CRM migration scope. We handle them as a structured manifest deliverable unless the customer has already licensed Odoo Project or plans to install it during the same engagement.

  • Binary file attachments require manual re-upload

    TeamWave's web interface does not expose a bulk attachment download feature. We snapshot attachment metadata (filename, linked object, record ID) and hand off a re-upload manifest for the customer's admin to execute post-migration. Any binary files attached to Contacts, Deals, or Projects must be downloaded manually from TeamWave and uploaded to Odoo ir.attachment records after the migration is live.

Migration approach

Six steps for a successful TeamWave to Odoo CRM data migration

  1. Discovery and CSV export scoping

    We audit the TeamWave workspace across all active modules (CRM, Projects, Tasks, HR, Calendar) and estimate the total record count per object. We identify the number of CSV export batches required based on TeamWave's UI pagination limits, script the export automation, and validate record counts against what TeamWave's UI displays. We also extract custom field definitions from the TeamWave export headers to map against Odoo's schema during step 2.

  2. Odoo schema pre-deployment

    We deploy the destination Odoo schema before any data migration begins. This includes creating custom fields on crm.lead and res.partner, configuring crm.lead teams (crm.team), defining crm.stage records matching the TeamWave pipeline stages with probability percentages, and creating the project.project structure manifest for the project app scope. Schema is deployed in a staging Odoo database first for validation.

  3. Relationship reconstruction from CSV

    Since TeamWave CSV exports do not include explicit foreign key IDs in all views, we cross-reference embedded IDs from exported columns (company_id, project_id, contact_id) to reconstruct the relationship graph. We produce a denormalized intermediate dataset that preserves the source object linkages before mapping to Odoo's normalized schema. Owner assignments resolve by email match against the res.users table we have access to during migration.

  4. Sandbox migration and reconciliation

    We run a full migration into an Odoo test database (or sandbox if the customer uses Odoo Online with a sandbox environment). The customer reconciles record counts, spot-checks 25-50 records against the TeamWave source, and reviews the custom field values and partner associations before signing off on the mapping. Any schema corrections are applied before production migration begins.

  5. Production migration in dependency order

    We load data into the production Odoo instance in record-dependency order: res.users (owner resolution), res.partner company records first, res.partner contact records with parent_id resolved, crm.lead records with team_id and stage_id resolved, crm.tag records, calendar.event and calendar.attendee records, and custom field values on all migrated objects. Each phase emits a row-count reconciliation report. We use Odoo XML-RPC with batch chunking and retry logic for transient API errors.

  6. Cutover, validation, and deliverable handoff

    We freeze TeamWave write access during cutover, run a final delta migration for any records modified during the migration window, then enable Odoo as the system of record. We deliver the project-structure manifest for Odoo Project app configuration, the attachment re-upload manifest, and the automation inventory document listing every TeamWave workflow or automation that requires manual rebuild in Odoo. We support a five-business-day hypercare window for reconciliation issues.

Platform deep dives

Context on both ends of the pair

TeamWave logo

TeamWave

Source

Strengths

  • Free tier available for basic CRM and task management with no per-user cost
  • Native mobile apps for iOS and Android alongside a web interface
  • Unified platform combining CRM, project management, and HR in one subscription
  • Visual deal pipeline with stage tracking and deal value reporting
  • Self-described as easy to implement without prior CRM experience

Weaknesses

  • Small G2 review sample (24 reviews) makes aggregate ratings hard to trust
  • Unfunded company since 2015 raises questions about long-term support and development
  • Public API documentation is not publicly accessible or indexed
  • Limited enterprise-grade features compared to HubSpot, Bitrix24, or monday CRM
  • India-based team may present timezone and localization gaps for non-Asia customers
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 TeamWave 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

    TeamWave: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your TeamWave 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 TeamWave to Odoo CRM data migrations

Answers to the questions buyers ask most during TeamWave 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 and 2,000 Deals with no deferred Projects scope. Migrations with large datasets requiring multiple CSV export batches, extensive custom fields across multiple objects, or a deferred Projects-and-Tasks scope requiring separate Odoo Project app configuration move to eight to twelve weeks because of the extraction scripting time, custom field schema work, and relationship reconstruction from denormalized CSV exports.

Adjacent paths

Related migrations to explore

Ready when you are

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