ERP migration

Migrate from Flectra to Odoo ERP

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

Flectra logo

Flectra

Source

Odoo ERP

Destination

Odoo ERP logo

Compatibility

100%

10 of 10

objects map 1:1 between Flectra and Odoo ERP.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Flectra to Odoo ERP is the most structurally direct migration in the open-source ERP space because Flectra is a fork of Odoo and both platforms share the same ORM model names, field conventions, and two-level product architecture. The principal technical complexity is not schema translation but API protocol translation: Flectra exposes only an XML-RPC External API while Odoo supports both XML-RPC and JSON-RPC. We implement a discovery script that introspects the Flectra database via ir.model.fields to enumerate every standard and custom field before any data moves, ensuring that no x_ prefixed extension fields are silently dropped during export. We do not migrate Workflows, Automation Rules, or Report definitions; these are Odoo-specific and require a separate admin rebuild. Custom Flectra modules without Odoo equivalents are flagged during discovery and scoped as a post-migration cleanup item.

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

Flectra logo

Flectra

What's pushing teams away

  • Community edition provides no security patches, version upgrades, or functional support, leaving self-hosted instances exposed to unpatched vulnerabilities over time.
  • The XML-RPC API lacks the documentation depth and tooling ecosystem of REST-based ERPs, making integrations and migrations harder to automate.
  • Small vendor ecosystem compared to established ERPs means limited third-party consultants, integrators, and certified implementation partners are available.
  • Performance degrades on large transaction volumes (100k+ records) without the infrastructure optimization that commercial ERPs provide out of the box.
  • Version upgrade process for on-premise installations is manual and error-prone, often requiring developer involvement to resolve module incompatibilities.

Choosing

Odoo ERP logo

Odoo ERP

What's pulling them in

  • Modular pay-as-you-grow model with 80+ apps under one database — teams start with CRM and add Accounting, Inventory, or Manufacturing without switching platforms.
  • Free Community edition lets businesses validate Odoo fit before committing to Enterprise licensing costs that scale with user count.
  • Lowest per-user pricing among mid-market ERPs, with a published free tier for one app and Standard plans starting around $24.90 per user per month.
  • Native integration between modules — a confirmed Sales Order automatically updates inventory, invoicing, and accounting without manual re-entry.
  • Strong Odoo Gold Partner ecosystem provides local implementation support, reducing risk for companies without in-house developers.

Object mapping

How Flectra objects map to Odoo ERP

Each row shows how a Flectra object lands in Odoo ERP, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Flectra

res.partner (individual)

maps to

Odoo ERP

res.partner

1:1
Fully supported

Flectra and Odoo share the same res.partner model for individual contacts. The name, email, phone, street, city, country_id, and parent_id fields map 1:1. The is_company boolean distinguishes companies from individuals. We resolve the parent_id lookup (linking a contact to its company) before inserting child contact records so that the Many2one constraint is satisfied at ORM insert time rather than causing a foreign-key violation.

Flectra

res.partner (company subtype)

maps to

Odoo ERP

res.partner

1:1
Fully supported

Companies are a subtype of res.partner flagged by is_company = True. The website, vat, street, city, country_id, and email fields map directly. The child_ids relation linking individual contacts to their parent company migrates after the company records are inserted. Flectra's industry codes and category_id (tags) map to Odoo's same fields using the same ir.model.data external IDs where possible.

Flectra

sale.order

maps to

Odoo ERP

sale.order

1:1
Fully supported

Flectra's sale.order and sale.order.line map directly to Odoo equivalents with identical field names for order reference, partner_id, date_order, state, and currency_id. The order line product_id, product_uom_qty, price_unit, and discount transfer directly. We sequence sale.order inserts before sale.order.line inserts so that the order_id Many2one constraint is satisfied upfront.

Flectra

account.move (customer invoice)

maps to

Odoo ERP

account.move

1:1
Fully supported

Flectra account.move records with move_type='out_invoice' map to Odoo account.move of the same type. Flectra's invoice_date, partner_id, invoice_line_ids, amount_total, and payment_state transfer directly. We explicitly map Flectra's payment_state values (state_posted, state_pending) to Odoo's payment_state enumeration during the transform phase. Journal ID resolution is required since Odoo journals are organisation-specific.

Flectra

product.template

maps to

Odoo ERP

product.template

1:1
Fully supported

Both Flectra and Odoo use product.template as the product master record with name, type (service vs consumble vs stockable), list_price, standard_price, categ_id, and taxes fields. The template-level fields migrate first. We preserve the product.template-to-product.product variant relationship by extracting the variant attribute values from Flectra's product.attribute.line and creating matching product.attribute and product.attribute.value records in Odoo before variant creation.

Flectra

product.product (variants)

maps to

Odoo ERP

product.product

1:1
Fully supported

Flectra's product.product records (stock-keeping variants) map directly to Odoo product.product. The product_tmpl_id links each variant to its template. We insert variants after template creation and before any stock valuation or BOM records are migrated, ensuring the product_tmpl_id Many2one is resolvable at insert time.

Flectra

purchase.order

maps to

Odoo ERP

purchase.order

1:1
Fully supported

Flectra purchase.order and purchase.order.line map to Odoo equivalents with the same field names for vendor (partner_id), order date, state, and line-level product_uom_qty and price_unit. Flectra's receipt status flags are mapped to Odoo's picking_ids state values. We insert purchase orders before the related incoming pickings are created so that the picking_ids relation resolves correctly.

Flectra

project.project

maps to

Odoo ERP

project.project

1:1
Fully supported

Flectra project.project maps directly to Odoo project.project with name, partner_id, active, and privacy_visibility fields. We insert project records before task migration so that the project_id Many2one on project.task is satisfied. Flectra's analytic_account_id maps to Odoo's analytic_distribution field on projects with analytic plans migrated in parallel.

Flectra

project.task

maps to

Odoo ERP

project.task

1:1
Fully supported

Flectra project.task migrates to Odoo project.task with stage_id, user_id (assignee), planned_hours, effective_hours, date_deadline, and priority preserved. Sub-tasks are nested via the parent_id relation, which requires parent task insertion to precede child task insertion. We sequence parent tasks first, then child tasks, then grandchildren, to satisfy the recursive Many2one chain.

Flectra

hr.employee

maps to

Odoo ERP

hr.employee

1:1
Fully supported

Flectra hr.employee maps to Odoo hr.employee with department_id, job_id, work_email, work_phone, and bank_account_id fields preserved. We insert departments and job positions before employees so that the Many2one foreign keys resolve at insert time. Salary and payroll history residing in Flectra's payroll module (typically Odoo Enterprise on the source) is not migrated because it requires a separate payroll configuration on the destination Odoo instance.

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.

Flectra logo

Flectra gotchas

High

XML-RPC API format requires non-standard serialization

High

No official migration utility or dedicated export tooling

Medium

Community edition lacks functional support and hosting

Medium

Large imports can trigger timeouts without batching

Odoo ERP logo

Odoo ERP gotchas

High

No rollback for CSV imports

High

External ID conflicts on re-import

Medium

Many2many field encoding in CSV imports

Medium

Large export timeouts require batching

Medium

Version schema drift between Odoo releases

Pair-specific challenges

  • Flectra XML-RPC adapter requires custom client implementation

    Flectra's External API uses XML-RPC encoded requests (execute_kw calls with XML payloads) while Odoo's standard import path is either XML-RPC or JSON-RPC. Most modern integration tooling does not natively support XML-RPC, meaning every read from Flectra must route through a custom adapter layer we build. We implement an XML-RPC client in the migration engine that handles method call serialisation, session authentication (db/uid/password flow), and response parsing, keeping the rest of our pipeline format-agnostic. Without this adapter, no data can be extracted from Flectra programmatically.

  • No Flectra-to-Odoo migration script; custom discovery required

    Flectra provides no vendor-supported export utility or dedicated migration path to Odoo. Every migration must be built from Flectra's XML-RPC API or CSV export primitives. We run a discovery script against Flectra's ir.model.fields endpoint to enumerate every standard and custom field (x_ prefixed) across all installed modules, producing a complete field map before any data extraction begins. Custom Flectra modules without Odoo equivalents are flagged in the discovery report as post-migration cleanup items.

  • Flectra Community edition has no vendor upgrade or support path

    Flectra Community edition does not include official support, version upgrades, or a security patch SLA from FlectraHQ. Customers migrating from Community who encounter API inconsistencies or schema drift due to unpatched versions must resolve these independently. We handle this by running a schema-introspection step against the customer's specific Flectra instance before designing the migration map, rather than assuming a standard Flectra schema.

  • Large invoice and order batches risk XML-RPC timeout without chunking

    Flectra's XML-RPC endpoint does not expose a bulk import endpoint; standard create() calls process one record per request. Importing 5,000+ invoices or 10,000+ order lines via individual XML-RPC calls risks HTTP timeouts and rate-limit errors. We chunk large record sets into batches of 100-200 records per XML-RPC call, implement retry logic with exponential backoff, and checkpoint progress so that a timeout does not require restarting the entire batch from the beginning.

  • Flectra modules incompatible with Odoo require post-migration rebuild

    Custom modules developed specifically for Flectra's forked codebase will not load in standard Odoo without porting. Any Flectra-specific custom module is flagged during discovery and excluded from the migration scope. We deliver a written inventory of each incompatible module with its Flectra-specific code references and a note that the module requires either porting to the target Odoo version or replacement with an Odoo-native equivalent from the Odoo AppStore.

Migration approach

Six steps for a successful Flectra to Odoo ERP data migration

  1. Discovery and schema introspection

    We connect to the customer's Flectra instance via XML-RPC using database credentials and uid authentication. We run a discovery script that calls ir.model.fields and ir.model across all installed modules, enumerating every standard and custom field (x_ prefixed), their types, required flags, and the ir.model.relation table for relational metadata. This produces a complete field map and object dependency graph for the migration. We also capture the installed Flectra version (Community vs Professional) to adjust scope for any Enterprise-only features.

  2. Custom XML-RPC adapter development

    We implement a Flectra XML-RPC client adapter in the migration engine that handles session authentication (common/authenticate), method calls (execute_kw), and XML response parsing. The adapter exposes a record-batch extraction interface that the migration engine calls with model name, domain filter, and offset-limit pagination. The adapter is instance-specific because Flectra Community edition API behaviour may vary by version and installed module set.

  3. Schema alignment and destination field map

    We compare the Flectra field map against the target Odoo ERP instance's ir.model.fields to identify field names that differ, field types that require casting (e.g., Flectra selection fields mapped to Odoo many2one), and any Flectra fields with no Odoo equivalent. Custom x_ fields are marked for Odoo custom field creation before migration begins. We design the insert dependency order using the relational graph so that parent records are created before any child record that references them.

  4. Sandbox migration and reconciliation

    We run a full migration into the customer's Odoo Sandbox (or a clean Odoo instance if no sandbox is available) using production-like data volume. The customer's administrator reviews record counts, spot-checks 20-30 records across each object for data integrity, and validates that the Odoo decimal precision, currency rounding, and date formats match the source. Any mapping corrections, field type adjustments, or custom field additions are applied before production migration begins.

  5. Production migration in dependency order

    We run production migration in insert dependency order: res.partner companies first (to satisfy parent_id lookups), then individual contacts; product.template before product.product variants; sale.order before sale.order.line; account.move invoices before invoice lines; project.project before project.task with recursive parent-child ordering; hr.employee after department and job positions. Each phase emits a row-count reconciliation report before the next phase begins. Large phases (invoices, order lines) use chunked XML-RPC batches with checkpoint logging.

  6. Cutover, validation, and module rebuild handoff

    We freeze Flectra writes during the cutover window, run a final delta migration of any records modified during the migration period, then enable Odoo ERP as the system of record. We deliver a written inventory of any Flectra-specific custom modules that require porting or replacement, the full automation rule list requiring Odoo server action rebuild, and a custom field index mapping every Flectra x_ field to its Odoo equivalent. We support a one-week hypercare window for reconciliation issues. Workflows, automation rules, and scheduled server actions do not migrate as code; these are handed off for the customer's Odoo administrator or a certified Odoo partner to rebuild.

Platform deep dives

Context on both ends of the pair

Flectra logo

Flectra

Source

Strengths

  • Community edition is free with no per-user licensing cost, removing financial barrier to adoption.
  • On-premise hosting option provides full data sovereignty for regulated-industry customers.
  • Modular architecture means customers deploy only the modules they need, reducing system complexity.
  • XML-RPC External API allows programmatic data access across all business objects via standard ORM methods.
  • Open-source codebase can be audited and extended by the customer's own developers without vendor dependency.

Weaknesses

  • Community edition receives no security patches or version upgrades from the vendor, creating long-term maintenance risk.
  • XML-RPC API is less widely documented and supported by third-party integration tools compared to REST alternatives.
  • Smaller community and partner ecosystem than Odoo means fewer pre-built modules and fewer implementation consultants.
  • Performance on large datasets (100k+ records) is not optimised without significant infrastructure tuning.
  • Version upgrade path for on-premise installations requires manual testing of all custom modules for compatibility.
Odoo ERP logo

Odoo ERP

Destination

Strengths

  • Modular architecture with 80+ apps sharing one database — add Sales, Accounting, Inventory, and Manufacturing incrementally.
  • Free Community edition for self-hosting with no per-user license cost, backed by an active open-source community.
  • Per-user pricing starting around $24.90/month on Standard, significantly lower than comparable ERPs like NetSuite or SAP.
  • Automatic workflow propagation across modules — a confirmed sales order updates inventory, triggers invoicing, and posts accounting entries without manual steps.
  • Odoo.sh provides a managed cloud hosting environment with CI/CD for custom module deployment and staging databases.

Weaknesses

  • Performance suffers under heavy customization — large implementations with many active modules require dedicated optimization.
  • No single-click migration between Odoo major versions; each release introduces ORM changes, deprecated API calls, and schema revisions requiring manual adaptation.
  • Per-user and per-module licensing costs can escalate unpredictably for growing teams adding multiple apps.
  • Steep learning curve with hundreds of configuration options across dozens of modules creates adoption friction and training requirements.
  • Support tiers on Enterprise have inconsistent response times, pushing some customers toward alternatives with more reliable SLAs.

Complexity grading

How hard is this migration?

Standard ERP 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 Flectra and Odoo ERP.

  • 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

    Flectra: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Flectra to Odoo ERP 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 Flectra to Odoo ERP data migrations

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

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Most migrations land between two and four weeks for accounts under 20,000 contacts, 5,000 orders, and 5,000 invoices with no custom Flectra modules requiring compatibility review. Migrations with large invoice histories (over 50,000 records), multiple custom Flectra modules, or a Flectra version more than two minor releases behind current Odoo move to six to ten weeks because of XML-RPC adapter development, schema introspection overhead, and the recursive parent-record sequencing required by the Odoo ORM.

Adjacent paths

Related migrations to explore

Ready when you are

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