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Machine Learning · head to head

Kubeflow vs Milvus

Kubeflow logo

Kubeflow

Machine Learning

Machine learning toolkit for Kubernetes

From
Free
Rated
-
Full reviewWebsite
Milvus logo

Milvus

Machine Learning

Open-source vector database for scalable similarity search

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Kubeflow complex installation and configuration requiring Kubernetes expertise, upgrade paths between versions need manual CRD migrations; Milvus vector dimensions are capped at 32,768
  • They diverge on capability: Kubeflow covers ML pipelines, Milvus covers Billion-scale vectors.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Kubeflow and Milvus actually diverge.

Attributes where Kubeflow and Milvus differ
AttributeKubeflowMilvus
Pricing modelUnknownfreemium
PlatformsKubernetesLinux, Mac, Windows, Web

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning), founded (2017).

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
  • XGBoost
  • MXNet

Only in Milvus

  • Billion-scale vectors
  • Multiple index types
  • GPU acceleration
  • Hybrid search
  • Data partitioning
  • Hugging Face
  • LangChain
  • LlamaIndex

Both cover

  • TensorFlow
  • PyTorch
  • Linux support

What people use each for

The jobs each tool is most often brought in to do.

Kubeflow

  • Machine learningnot Milvus
  • Data analysisnot Milvus
  • Model trainingnot Milvus
  • Predictive analyticsnot Milvus

Milvus

  • Self hosting a vector database for semantic searchnot Kubeflow
  • Storing and querying embeddings for retrieval augmented generationnot Kubeflow
  • Similarity search over images, audio or text at scalenot 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

Milvus

  • Vector dimensions are capped at 32,768
  • A collection is limited to 64 fields, 1,024 partitions and 16 shards
  • Only 1 index is allowed per field
  • Search returns at most 16,384 vectors as top-k, and nq is capped at 16,384
  • Input and output per RPC is capped at 64 MB for insert, search and query
  • VARCHAR values are limited to 65,535 characters
  • Data loaded into query nodes cannot exceed 90% of available memory
  • An instance supports at most 65,536 collections

Pricing, plan by plan

Kubeflow

Free

No published plan breakdown. See the Kubeflow review.

Milvus

Free
  • Open SourceFree
    • Full features
    • Self-hosted
    • Community support
  • Zilliz CloudFree
    • Managed service
    • Free tier available

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.
Kubeflow review

Choose Milvus if

  • You need billion-scale vectors.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want multiple index types.
Milvus review

Questions people ask

Is Kubeflow or Milvus better?
Neither clearly leads. Kubeflow starts at Free and Milvus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Kubeflow or Milvus?
Kubeflow starts at Free and Milvus at Free.
Does Kubeflow or Milvus run on more platforms?
Kubeflow runs on Kubernetes. Milvus runs on Linux, Mac, Windows, Web.
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 Milvus is typically brought in for.
What can Kubeflow do that Milvus cannot?
Kubeflow covers ML pipelines, Training operators, Model serving, Jupyter notebooks. Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. Both handle TensorFlow, PyTorch, Linux support.

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.

Source
Milvus: How much does Milvus cost?

Milvus is open-source and free to use and modify. The self-hosted version has no licensing cost. Zilliz Cloud (the managed SaaS version) does not publish pricing on the website.

Source
Kubeflow: 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.

Source
Milvus: Is there a free or open-source version of Milvus?

Yes, Milvus is fully open-source and available for free. Milvus Lite is a lightweight option for learning and prototyping that can be installed via pip.

Source
Kubeflow: 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.

Source
Milvus: Does Milvus offer a managed cloud service?

Yes, Zilliz Cloud is a fully managed Milvus cloud offering with serverless and dedicated cluster options. Pricing must be requested from the company as it is not listed on the public website.

Source
Kubeflow: 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.

Source
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