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Machine Learning · head to head

Milvus vs Redpanda

Milvus logo

Milvus

Machine Learning

Open-source vector database for scalable similarity search

From
Free
Rated
-
Full reviewWebsite
Redpanda logo

Redpanda

Databases

Kafka-compatible streaming platform with no ZooKeeper or JVM

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Milvus vector dimensions are capped at 32,768; Redpanda the community edition is source-available rather than OSI open source, which matters for some procurement
  • They diverge on capability: Milvus covers Billion-scale vectors, Redpanda covers Kafka API compatible.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Milvus and Redpanda actually diverge.

Attributes where Milvus and Redpanda differ
AttributeMilvusRedpanda
Pricing modelfreemiumSource-available community edition with paid enterprise and cloud tiers
PlatformsLinux, Mac, Windows, WebLinux, Docker, Kubernetes, Self-hosted
CategoryMachine LearningDatabases
Founded2017Unknown

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 Milvus

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

Only in Redpanda

  • Kafka API compatible
  • No JVM or ZooKeeper
  • Thread-per-core
  • Built-in HTTP proxy and schema registry

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

Redpanda

  • Kafka workloads where the operational cost of running Kafka is the blockernot Milvus
  • Latency-sensitive streaming where tail latency mattersnot Milvus
  • Smaller teams wanting streaming without a dedicated platform groupnot 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

Redpanda

  • The community edition is source-available rather than OSI open source, which matters for some procurement
  • Kafka API compatibility is high but not total, and deep ecosystem tools can hit gaps
  • Smaller community than Kafka, so fewer people have solved your problem before
  • Some operational and tiered-storage features are enterprise-only

Pricing, plan by plan

Milvus

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

Redpanda

Free
  • CommunityFree
    • Kafka-compatible broker
    • Single binary
    • Community support

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 Redpanda if

  • You need kafka api compatible.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want no jvm or zookeeper.
Redpanda review

Questions people ask

Is Milvus or Redpanda better?
Neither clearly leads. Milvus starts at Free and Redpanda at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Milvus or Redpanda?
Milvus starts at Free and Redpanda at Free.
Does Milvus or Redpanda run on more platforms?
Milvus runs on Linux, Mac, Windows, Web. Redpanda runs on Linux, Docker, Kubernetes, Self-hosted.
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 Redpanda is typically brought in for.
What can Milvus do that Redpanda cannot?
Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. Redpanda covers Kafka API compatible, No JVM or ZooKeeper, Thread-per-core, Built-in HTTP proxy and schema registry.

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
Redpanda: Is Redpanda free?

A community edition is free and source-available. Enterprise features and Redpanda Cloud are paid, and the licence is not OSI open 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
Redpanda: Can I use my Kafka clients?

Yes. Redpanda implements the Kafka API, so existing clients and most tooling connect without changes.

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
Redpanda: Why remove ZooKeeper and the JVM?

Both are significant sources of Kafka’s operational burden — tuning, coordination and failure modes. Removing them is the core of Redpanda’s pitch.

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