Machine Learning · head to head
Kubeflow vs Passbolt

Passbolt
Cybersecurity
Open-source password manager for teams with self-hosted or cloud deployment
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Kubeflow complex installation and configuration requiring Kubernetes expertise, upgrade paths between versions need manual CRD migrations; Passbolt pro Edition requires a minimum of 10 users, making it costlier for very small teams.
- They diverge on capability: Kubeflow covers ML pipelines, Passbolt covers Password sharing and folders.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Kubeflow and Passbolt actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Kubeflow
- ML pipelines
- Training operators
- Model serving
- Jupyter notebooks
- Hyperparameter tuning
- Kubernetes
- TensorFlow
- PyTorch
Only in Passbolt
- Password sharing and folders
- Groups and role-based access
- Browser extensions and CLI
- Open API
- LDAP provisioning and SSO
- Activity audit log
What people use each for
The jobs each tool is most often brought in to do.
Kubeflow
- Machine learningnot Passbolt
- Data analysisnot Passbolt
- Model trainingnot Passbolt
- Predictive analyticsnot Passbolt
Passbolt
- Self-hosting a team password manager for data sovereigntynot Kubeflow
- Provisioning vault access from an existing LDAP/AD directorynot Kubeflow
- Sharing credentials across engineering or IT teams via folders and groupsnot Kubeflow
- Automating credential retrieval through the CLI or open APInot Kubeflow
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Kubeflow
- Complex installation and configuration requiring Kubernetes expertise, upgrade paths between versions need manual CRD migrations
- Resource-intensive infrastructure with minimal installs consuming significant CPU and memory
- Limited multi-tenancy support and multi-cloud setup leaves users largely on their own
- No native CI/CD integration, requiring custom glue code for versioning and automated deployments
- Debugging jobs and monitoring workloads often requires dropping down into raw Kubernetes commands
Passbolt
- Pro Edition requires a minimum of 10 users, making it costlier for very small teams.
- Community Edition lacks SSO and LDAP provisioning, which many organizations need for onboarding at scale.
- Self-hosting the Community Edition requires infrastructure and maintenance effort compared to fully managed competitors.
- Enterprise-tier support and HA consulting require custom, quote-based pricing rather than transparent rates.
Pricing, plan by plan
Kubeflow
FreeNo published plan breakdown. See the Kubeflow review.
Passbolt
Free- Community EditionFree
- Unlimited users
- Password sharing and folders
- Role-based access control
- Pro Edition$4.9/month
- Minimum 10 users, billed annually
- LDAP/AD provisioning
- Single sign-on
- Enterprise Edition$undefined/month
- High availability and disaster recovery consulting
- White-glove migration
- Custom feature development
Which should you pick?
Choose Kubeflow if
- You need ml pipelines.
- You want to start without paying.
- You work on Kubernetes.
- You also want training operators.
Choose Passbolt if
- You need password sharing and folders.
- You want to start without paying.
- You work on web, windows, mac, linux, api.
- You also want groups and role-based access.
Questions people ask
- Is Kubeflow or Passbolt better?
- Neither clearly leads. Kubeflow starts at Free and Passbolt at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Kubeflow or Passbolt?
- Kubeflow starts at Free and Passbolt at Free.
- Does Kubeflow or Passbolt run on more platforms?
- Kubeflow runs on Kubernetes. Passbolt runs on web, windows, mac, linux, api.
- Can I use Kubeflow for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Kubeflow best used for?
- Kubeflow is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Passbolt is typically brought in for.
- What can Kubeflow do that Passbolt cannot?
- Kubeflow covers ML pipelines, Training operators, Model serving, Jupyter notebooks. Passbolt covers Password sharing and folders, Groups and role-based access, Browser extensions and CLI, Open API.
Answered from the vendors’ own pages
Kubeflow: Is Kubeflow free to use?
Yes, Kubeflow is free and open-source under Apache License 2.0. However, you pay for the underlying Kubernetes infrastructure, which typically costs $500 to $5,000 per month depending on scale and cloud provider.
SourcePassbolt: Is Passbolt free to use?
Yes. The Community Edition is free forever with unlimited users, including password sharing, folders, groups, role-based access, browser extensions, a CLI, and an open API.
SourceKubeflow: Do I need Kubernetes expertise to use Kubeflow?
Kubeflow requires significant Kubernetes and DevOps expertise. The installation deploys dozens of services and CRDs, often requiring manual configuration and troubleshooting. Data scientists typically need to convert scripts to containerized components.
SourcePassbolt: What does the Pro Edition cost and add?
Pro Edition costs $4.90 per user per month billed annually, with a 10-user minimum, and adds LDAP/AD provisioning, single sign-on, account recovery escrow, activity audit logs, and next-business-day support.
SourceKubeflow: What platforms can Kubeflow run on?
Kubeflow runs on any Kubernetes-compliant cluster, including on-premise, AWS, Azure, Google Cloud, and hybrid environments. This multi-cloud portability is one of its key advantages over managed alternatives.
SourcePassbolt: What license is Passbolt distributed under?
All Passbolt editions, including Pro and Enterprise, are distributed under the AGPL v3 open-source license.
SourceKubeflow: How does Kubeflow compare to managed services like SageMaker?
Kubeflow offers multi-cloud portability and lower long-term costs but requires more operational overhead. SageMaker provides a fully managed experience with better UI and less infrastructure work, but creates vendor lock-in to AWS.
SourceRelated pages
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- Passbolt vs Azure Machine Learning
- Passbolt vs AWS SageMaker
- Passbolt vs Google Vertex AI
- Passbolt vs MLflow
- Passbolt vs Pachyderm
- Passbolt vs Seldon
- Passbolt vs DVC
- Passbolt vs DataRobot
- Passbolt vs Comet ML
- Passbolt vs Dataiku
- Passbolt vs Weights & Biases
- Passbolt vs Domino Data Lab
- Passbolt vs Orange
- Passbolt vs RapidMiner
- Passbolt vs Ray
- Passbolt vs Amazon Redshift ML
- Passbolt vs Bitwarden
- Passbolt vs LastPass
- Passbolt vs authentik
- Passbolt vs 1Password
- Passbolt vs Authelia
- Passbolt vs Enpass
- Passbolt vs HashiCorp Vault
- Passbolt vs Infisical
- Passbolt vs Norton 360
- Passbolt vs Semgrep
- Passbolt vs Trivy
- Passbolt vs Chainguard
- Passbolt vs Trulioo
- Passbolt vs Unit21
- Passbolt vs Veracode
- Passbolt vs Very Good Security
- Passbolt vs VIVOTEK VAST Security Station
- Passbolt vs Windscribe

