Machine Learning · head to head
Milvus vs Valkey

Milvus
Machine Learning
Open-source vector database for scalable similarity search
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Milvus vector dimensions are capped at 32,768; Valkey younger project, so its track record is short even though the codebase is not
- They diverge on capability: Milvus covers Billion-scale vectors, Valkey covers Redis-compatible.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Milvus and Valkey 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 Milvus
- Billion-scale vectors
- Multiple index types
- GPU acceleration
- Hybrid search
- Data partitioning
- PyTorch
- TensorFlow
- Hugging Face
Only in Valkey
- Redis-compatible
- BSD licensed
- Rich data structures
- Replication and persistence
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 Valkey
- Storing and querying embeddings for retrieval augmented generationnot Valkey
- Similarity search over images, audio or text at scalenot Valkey
Valkey
- Continuing on a permissively licensed in-memory store after the Redis licence changenot Milvus
- Caching and session storage where a foundation-governed project is a procurement requirementnot Milvus
- Migrating from Redis without rewriting application codenot 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
Valkey
- Younger project, so its track record is short even though the codebase is not
- Divergence from Redis grows over time, so compatibility is strongest near the fork point and weakens as both evolve
- Ecosystem tooling and documentation still frequently assume Redis, leaving translation work
Pricing, plan by plan
Milvus
Free- Open SourceFree
- Full features
- Self-hosted
- Community support
- Zilliz CloudFree
- Managed service
- Free tier available
Valkey
Free- ValkeyFree
- Full functionality
- Self-hosted
- No usage limits
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 Valkey if
- You need redis-compatible.
- You want to start without paying.
- You work on Linux, macOS, Docker, Self-hosted.
- You also want bsd licensed.
Questions people ask
- Is Milvus or Valkey better?
- Neither clearly leads. Milvus starts at Free and Valkey at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Milvus or Valkey?
- Milvus starts at Free and Valkey at Free.
- Does Milvus or Valkey run on more platforms?
- Milvus runs on Linux, Mac, Windows, Web. Valkey runs on Linux, macOS, Docker, 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 Valkey is typically brought in for.
- What can Milvus do that Valkey cannot?
- Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence.
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.
SourceValkey: Is Valkey free?
Yes, BSD-licensed open source under the Linux Foundation.
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.
SourceValkey: Why does Valkey exist?
Redis changed its licence away from BSD in 2024. Valkey is the community fork continuing under permissive terms, backed by AWS, Google Cloud and Oracle among others.
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.
SourceValkey: Can I switch from Redis to Valkey?
At the fork point it is drop-in compatible with existing clients and data. The further both projects move from that point, the more you should verify the specific features you use.
Related pages
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- Valkey vs Google Vertex AI
- Valkey vs AWS SageMaker
- Valkey vs Azure Machine Learning
- Valkey vs DataRobot
- Valkey vs Pinecone
- Valkey vs Weaviate
- Valkey vs Ray
- Valkey vs Fal AI
- Valkey vs Jupyter
- Valkey vs Keras
- Valkey vs LangChain
- Valkey vs Weights & Biases
- Valkey vs Alteryx
- Valkey vs Anaconda
- Valkey vs Domino Data Lab
- Valkey vs DVC
- Valkey vs Semantic Kernel
- Valkey vs Dragonfly
- Valkey vs Memcached
- Valkey vs MariaDB
- Valkey vs Aiven
- Valkey vs Redpanda
- Valkey vs Timeplus
- Valkey vs PostgreSQL
- Valkey vs Apache Kafka
- Valkey vs RabbitMQ
- Valkey vs Meilisearch
- Valkey vs NATS
- Valkey vs DataGrip
- Valkey vs Estuary
- Valkey vs Apache Airflow
- Valkey vs Apache Pinot
- Valkey vs Apache Pulsar
- Valkey vs Cassandra
- Valkey vs CouchDB

