Self-Hosted PLM in 2026: DocDokuPLM vs OdooPLM vs GitPLM Compared

A 15-engineer hardware team gets quoted $38,000 per year for a commercial PLM seat bundle, then discovers the CAD connector is a separate line item. That is the moment self-hosting starts to look attractive: the data model behind product lifecycle management is not exotic — parts, revisions, bills of materials, documents, change requests — and three open-source projects now cover it without a per-seat meter.

This guide compares the three PLM/PDM platforms that are actually deployable on your own hardware in 2026: DocDokuPLM, OdooPLM, and GitPLM. Every star count, commit date, and version noted below was pulled live from GitHub on 2026-09-30.

TL;DR — Quick Verdict

• Want the most complete classic PDM suite (documents + BOM + change management + 3D viewer)? Pick DocDokuPLM — but accept that upstream development stalled in 2021 and you will own the fork.
• Already running Odoo for ERP or accounting? Pick OdooPLM. It bolts revisioned BOMs, CAD integrations and an engineering workflow onto an Odoo 19 instance you already trust, and it is the most actively maintained of the three.
• Hardware startup living in Git, especially electronics? Pick GitPLM. Your bill of materials becomes text in a repository, and reviews, diffs and approvals use tooling your engineers already understand.

Two smaller projects are worth knowing: nanoPLM (73⭐, FreeCAD-native, aimed at small machine builders) and PLMore (57⭐, actively pushed on 2026-09-28).

Comparison Table

All five are self-hostable. Licence-wise they split between copyleft and permissive models, so check each repository’s terms before shipping a commercial product on top — the important part for most teams is that none of them charge per concurrent engineer.

Scenario Decision Matrix

DocDokuPLM — The Complete Suite Nobody Maintains

DocDokuPLM is the most feature-complete open-source PDM platform: parts and product structures, versioned document management with check-in/check-out, bills of materials, change requests and change orders, workflows, requirements, and configurable 3D viewers for STEP and IGES files. It is a Java EE application backed by PostgreSQL and Elasticsearch, deployed behind Payara.

The repository ships a Docker deployment directory, so the fastest path is to clone and bring up the bundled stack:

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git clone https://github.com/docdoku/docdoku-plm.git
cd docdoku-plm/docdoku-plm-docker
# edit the environment file for your hostname, ports and passwords
docker compose up -d

The alternative is the classic enterprise route: build the WAR artifact and deploy it to a servlet container, then point it at your own PostgreSQL and Elasticsearch instances. That gives you control over backups and tuning, at the cost of a heavier operational surface — two datastores plus an application server.

The elephant in the room: the last upstream push to docdoku/docdoku-plm landed on 2021-05-10. The separate server repository has also been quiet since 2023. DocDokuPLM is not abandoned in the sense that it is broken — it is stable, documented, and deployed in production — but you should treat adoption as forking a finished product, not joining a growing community. Budget for one engineer who can read Java, and pin your Elasticsearch version explicitly.

OdooPLM — PLM Inside the ERP You Already Run

OdooPLM is a module family from Omnia that adds PLM behaviour to Odoo: revisioned bills of materials, engineering change workflows, CAD file management and a browser-based 3D viewer. Its differentiator is the CAD connectors — the repository explicitly targets SolidWorks, Inventor, SolidEdge and AutoCAD workflows, which is rare in open-source PLM and is usually the exact thing that forces teams into a commercial suite.

Because it is an Odoo module, deployment is ordinary Odoo deployment. A minimal Compose file for Odoo 19 plus PostgreSQL looks like this:

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services:
  db:
    image: postgres:16
    environment:
      - POSTGRES_DB=postgres
      - POSTGRES_USER=odoo
      - POSTGRES_PASSWORD=change-me
    volumes:
      - odoo-db:/var/lib/postgresql/data
  odoo:
    image: odoo:19
    depends_on:
      - db
    ports:
      - "8069:8069"
    environment:
      - HOST=db
      - USER=odoo
      - PASSWORD=change-me
    volumes:
      - odoo-data:/var/lib/odoo
      - ./addons:/mnt/extra-addons
volumes:
  odoo-db:
  odoo-data:

Then drop the module into the addons directory and install it:

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git clone -b 19.0 https://github.com/OmniaGit/odooplm ./addons/odooplm
docker compose restart odoo
# In Odoo: Apps → Update Apps List → search "PLM" → Install

The maintenance picture is the mirror image of DocDokuPLM: OdooPLM was pushed as recently as 2026-09-30, with branches tracking Odoo major versions. The trade-off is the Odoo treadmill — upgrading your ERP becomes a prerequisite for upgrading your PLM, and a module that lags an Odoo release can hold your whole stack back. Keep the PLM module and the Odoo core on the same version train and you will be fine; treat them as independently upgradable and you will not.

GitPLM — BOMs as Text, Reviews as Pull Requests

GitPLM takes the opposite architectural bet: the PLM is the repository. Your bill of materials lives as CSV or YAML in Git, tool configuration lives in a file next to it, and derived artifacts are regenerated on demand. There is no database, no Elasticsearch, no application server — which means backups are git clone, access control is your forge’s access control, and an engineering change is a pull request with a reviewable diff.

It is distributed as a self-contained Go binary with no runtime dependencies:

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go install github.com/git-plm/gitplm@latest
# or download a release binary for your platform

git clone git@your-forge.example.com:hw/controller-board.git
cd controller-board
gitplm update     # regenerate derived BOM artifacts from the source CSV

This model is unbeatable for electronics: schematics, fabrication outputs and BOM line items are all diffable text, so an ECO becomes “review these 14 changed lines” instead of “compare two PDFs”. It is also fragile in exactly one predictable way — binary CAD files bloat a Git repository permanently. Keep STEP and native CAD files in a document vault (or Git LFS with a clear retention policy) and let GitPLM own the bill of materials and its derived outputs.

Pitfalls, Migration Notes and Performance Traps

These are the issues that actually bite teams in the first six months, ranked by how expensive they are to fix later:

1. Back up the file vault, not just the database. In DocDokuPLM and OdooPLM the metadata lives in PostgreSQL but the documents and CAD files live on disk (and in object storage, if you configured it). A nightly pg_dump alone restores an empty-looking PLM. Test a full restore quarterly.
2. Elasticsearch version pinning. DocDokuPLM’s search layer is sensitive to major-version drift. Pin the image tag and never let an unattended upgrade move it.
3. Binary files in Git are permanent. A single 200 MB STEP file committed and later deleted still lives in history forever. If you go the GitPLM route, add an ignore rule for CAD binaries before the first commit.
4. Change workflows need a human process, not just software. Both DocDokuPLM and OdooPLM ship ECO/ECR objects, but an open change order with no reviewer assigned is just a database row. Define who signs off before you enable the workflow, or engineers will route around it.
5. Do not skip SSO and TLS. PLM systems hold your entire intellectual property portfolio — mechanical designs, supplier data, cost breakdowns. Put the instance behind a reverse proxy with real certificates and wire it to your identity provider from day one.
6. Plan the export before you import. Every one of these tools can export BOMs and documents; none of them can import another vendor’s proprietary database dump. If you may switch later, insist on plain-text exports (CSV/YAML) as part of your initial migration.

FAQ

Is self-hosted PLM good enough to replace SolidWorks PDM or Teamcenter?

For document management, BOM structures, revision control and change workflows: yes, for the majority of small and mid-size hardware teams. What you will miss is deep native CAD integration inside the CAD application itself, enterprise-grade supplier collaboration portals, and vendor support contracts. If your engineers live inside a CAD add-in all day, expect friction; if they work from a browser and a BOM spreadsheet, the switch is usually painless.

Which one should a 10-engineer hardware startup choose?

Start with GitPLM if your team is comfortable in Git and your product is electrical or electromechanical — the cost of adoption is nearly zero and the diff-based review model is genuinely better than a commercial PDM for BOM changes. Choose OdooPLM if you already run Odoo, because the marginal cost of one more module is tiny compared to standing up new infrastructure. Choose nanoPLM if you are a machining shop that already models in FreeCAD.

DocDokuPLM has not been updated since 2021 — is it dead?

Upstream development has effectively stopped, but the software is mature and still widely deployed. Treat it as a stable frozen product: it will keep running, security patches are your responsibility, and if you need a feature you will implement it yourself. That is an acceptable trade for a complete PDM suite, but it is not acceptable if you expect a vendor-style roadmap.

Can I manage CAD files in Git instead of a PLM database?

You can, but not for large binaries. Text formats (KiCad schematics, Gerber metadata, CSV BOMs) work beautifully in Git. Native CAD assemblies and STEP files do not — Git stores every version forever, so a few hundred revisions of a moderately complex assembly can push a repository past the size where clones become painful. The pragmatic split is: BOM and derived text in Git, binary CAD in a document vault or LFS.

How do I migrate between these three later?

Export BOMs as CSV or YAML, export documents as files plus a metadata sidecar (part number, revision, status, owner), and keep a mapping table of IDs. Rebuilding relationships between parts, documents and changes is the expensive part of any migration, so prefer the tool whose data you can dump in plain text from day one. Also relevant: our digital asset management comparison covers the document-vault side in more depth, and if you plan to host the Git repository yourself, the lightweight self-hosted Git platforms comparison is the right starting point. Teams that need an inventory of the hardware these systems describe should also read our self-hosted CMDB guide.

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