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Machine Learning · head to head

Milvus vs Minitab

Milvus logo

Milvus

Machine Learning

Open-source vector database for scalable similarity search

From
Free
Rated
-
Minitab logo

Minitab

Machine Learning

Statistical software for quality engineering, and the tool Six Sigma training is written around

From
$2394/year
Rated
-

The short version

  • Only Milvus has a free tier, so it costs nothing to try first.
  • Each has a real cost: Milvus vector dimensions are capped at 32,768; Minitab licensing is a per named user subscription, so an organisation where fifty engineers each need it twice a quarter pays fifty full seats for people who open it eight times a year.
  • They diverge on capability: Milvus covers Billion-scale vectors, Minitab covers Control charts.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Milvus and Minitab actually diverge.

Attributes where Milvus and Minitab differ
AttributeMilvusMinitab
Starting priceFree$2394/year
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsLinux, Mac, Windows, WebMac, Windows, Web
Founded20171972

Identical on both: user rating (Not yet rated), category (Machine Learning).

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 Milvus

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

Only in Minitab

  • Control charts
  • Process capability analysis
  • Measurement systems analysis
  • Design of experiments
  • Classical statistics
  • Assistant
  • Predictive Analytics module
  • Desktop and browser access

What people use each for

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

Milvus

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

Minitab

  • Six Sigma and process improvement projects where the training materials and internal procedures already assume Minitabnot Milvus
  • Producing capability and gage studies as evidence for a customer audit or a regulatory submissionnot Milvus
  • Design of experiments on a production process, run by an engineer who will not be writing codenot Milvus
  • Quality departments that need credible statistics without hiring a statistician or a data scientistnot Milvus

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

Minitab

  • Licensing is a per named user subscription, so an organisation where fifty engineers each need it twice a quarter pays fifty full seats for people who open it eight times a year.
  • Analyses are recorded as a project file and a session log rather than as code, so reviewing what somebody did means reading output instead of reading a script, and reproducing it a year later depends on the same version still being installed.
  • The machine learning capability is a separately licensed module with a fixed set of tree-based methods, so it is neither included in the base price nor competitive with what a Python user has for nothing.
  • There is no deployment path in the statistical product, so putting a model into a running process means buying Minitab Model Ops as another product or reimplementing the model somewhere else entirely.
  • Data handling is worksheet-shaped and held in memory, so anything past a few million rows means preparing the extract in another tool first, and joins and reshaping are clumsy compared with SQL or pandas.

Pricing, plan by plan

Milvus

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

Minitab

$2394/year
  • Solution Center Core$2394/year
    • Marked as Most Popular
    • Best for quality professionals
    • Minitab Dashboards
  • Solution Center Analytics$2593.5/year
    • Best for analytics professionals
    • Includes predictive analytics capabilities
    • Minitab Dashboards
  • Solution Center Copilot$2793/year
    • All-in-one platform for operational excellence
    • Includes AI-powered insights
    • Minitab Dashboards

Which should you pick?

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.

Choose Minitab if

  • You need control charts.
  • You work on Mac, Windows, Web.
  • You also want process capability analysis.

Questions people ask

Is Milvus or Minitab better?
Neither clearly leads. Milvus starts at Free and Minitab at $2394/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Milvus or Minitab?
Milvus has a free tier; the other does not. Paid plans start at Free for Milvus and $2394/year for Minitab.
Does Milvus or Minitab run on more platforms?
Milvus runs on Linux, Mac, Windows, Web. Minitab runs on Mac, Windows, Web.
Can I use Milvus for free?
Yes. Milvus has a free tier, so you can try it without paying. Minitab starts at $2394/year.
What is Milvus best used for?
Milvus is most often used for self hosting a vector database for semantic search, storing and querying embeddings for retrieval augmented generation, similarity search over images, audio or text at scale. Of those, self hosting a vector database for semantic search and storing and querying embeddings for retrieval augmented generation are not what Minitab is typically brought in for.
What can Milvus do that Minitab cannot?
Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. Minitab covers Control charts, Process capability analysis, Measurement systems analysis, Design of experiments.

Answered from the vendors’ own pages

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
Minitab: Does Minitab run on macOS?

The installed desktop application is Windows. Mac users work through the browser version, which is included with the subscription but is not identical in every feature.

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
Minitab: Is it machine learning software?

Not primarily. It is a statistics package for quality and process work. Predictive modelling exists in a separate Predictive Analytics module and is limited to tree-based methods.

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
Minitab: Can I buy a perpetual licence?

The current offer is subscription based. Older perpetual licences exist in the field but are not the way the product is sold now.

Minitab: What is the difference between Minitab and Minitab Workspace or Engage?

Minitab Statistical Software does the analysis. Workspace and Engage are separate products for process mapping, project management and improvement programme governance, and are licensed separately.

Minitab: Can I automate it?

Only to a limited degree. There is a command language and integration options, but it is designed to be driven by a person through menus, not scheduled in a pipeline.

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