Softwr

Machine Learning & Data Science · head to head

Milvus vs Anaconda

Milvus logo

Milvus

Machine Learning & Data Science

Open-source vector database for scalable similarity search

From
Free
Rated
-
Full reviewWebsite
Anaconda logo

Anaconda

Machine Learning & Data Science

The world's most popular data science platform

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Milvus vector dimensions are capped at 32,768; Anaconda dependency resolution slower than pip due to SAT solver complexity
  • They diverge on capability: Milvus covers Billion-scale vectors, Anaconda covers Conda package manager.

Where they differ

Only the attributes on which Milvus and Anaconda actually diverge.

Attributes where Milvus and Anaconda differ
AttributeMilvusAnaconda
Pricing modelfreemiumUnknown
PlatformsLinux, Mac, Windows, WebWindows, macOS, Linux, Web/Cloud
Founded20172012

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

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 Anaconda

  • Conda package manager
  • Environment management
  • 1500+ packages
  • Navigator GUI
  • Cross-platform support
  • Jupyter
  • VS Code
  • PyCharm

Both cover

  • Linux support
  • Mac support
  • Windows support

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 Anaconda
  • Storing and querying embeddings for retrieval augmented generationnot Anaconda
  • Similarity search over images, audio or text at scalenot Anaconda

Anaconda

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

Anaconda

  • Dependency resolution slower than pip due to SAT solver complexity
  • Not all PyPI packages available through default Anaconda repository
  • Requires paid licenses for organizations with 200+ employees
  • Larger disk footprint than minimal Python installations

Pricing, plan by plan

Milvus

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

Anaconda

Free
  • FreeFree
    • 600+ pre-installed packages
    • Anaconda Navigator
    • 5GB cloud storage
  • Starter$15/month
    • 10GB cloud storage per user
    • Professional development environment
    • Team workspace controls
  • Business$50/month
    • Automated vulnerability scanning
    • Audit trails
    • Enterprise SSO

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.
Milvus review

Choose Anaconda if

  • You need conda package manager.
  • You want to start without paying.
  • You work on Windows, macOS, Linux, Web/Cloud.
  • You also want environment management.
Anaconda review

Questions people ask

Is Milvus or Anaconda better?
Neither clearly leads. Milvus starts at Free and Anaconda at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Milvus or Anaconda?
Milvus starts at Free and Anaconda at Free.
Does Milvus or Anaconda run on more platforms?
Milvus runs on Linux, Mac, Windows, Web. Anaconda runs on Windows, macOS, Linux, Web/Cloud.
Can I use Milvus for free?
Both have a free tier, so you can try either at no cost before committing.
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 Anaconda is typically brought in for.
What can Milvus do that Anaconda cannot?
Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. Anaconda covers Conda package manager, Environment management, 1500+ packages, Navigator GUI. Both handle Linux support, Mac support, Windows support.

Answered from the vendors’ own pages

Anaconda: Does Anaconda have a free version?

Yes. Anaconda Distribution is free and includes 600+ pre-installed data science packages, Navigator, and 5GB of cloud storage. Organizations with 200+ employees must use paid plans unless they qualify for academic or non-profit exemptions.

Source
Anaconda: What is the difference between Anaconda Distribution and Miniconda?

Anaconda Distribution includes 600+ pre-installed packages optimized for data science out of the box. Miniconda is lightweight with only conda, Python, and essential packages, requiring manual installation of additional libraries.

Source
Anaconda: Does Anaconda integrate with VS Code?

Yes. Anaconda environments can be activated in VS Code, and you can run Jupyter Notebooks directly. Both JupyterLab and conda can be managed through the VS Code Jupyter extension.

Source
Anaconda: What platforms does Anaconda support?

Anaconda runs on Windows, macOS, and Linux, with cloud-based deployment options. Anaconda Notebooks provides a cloud-based JupyterLab environment requiring no local installation.

Source
Anaconda: Do all PyPI packages work with Anaconda?

Not all PyPI packages are available through Anaconda's default conda repository. When a package is unavailable in conda, you can install it from conda-forge or pip as an alternative.

Source
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Milvus

More on Anaconda

Keep looking

Other head to heads