What it does
Core capabilities at a glance
- Billion-scale vector search in milliseconds
- Hybrid search (vector + scalar + full-text)
- GPU-accelerated indexing (IVF, HNSW, DiskANN)
- Distributed architecture with sharding and replication
- Multi-vector support with reranking
- Change data capture (CDC) for streaming data
Deep dive
The full breakdown - performance, comparisons, and setup
Milvus
Milvus is the vector database you reach for when you have billions of vectors and sub-100ms latency requirements. It was originally built at Zilliz and has become the standard for large-scale production vector search.
What it is
Milvus is a distributed vector database designed for billion-scale similarity search. It supports GPU-accelerated indexing, hybrid search (combining vector similarity with keyword/BM25), and comes with built-in sharding, replication, and change data capture.
How it stacks up
| Milvus | Qdrant | Chroma | Weaviate | |
|---|---|---|---|---|
| Scale | Billion plus | 100M plus | Under 10M | 100M plus |
| Distributed | Yes | Yes | No | Yes |
| GPU indexing | Yes | No | No | No |
| Hybrid search | Yes | No | No | Yes |
| Complexity | High | Medium | Low | Medium |
| Best for | Massive scale | Production RAG | Prototyping | All-in-one |
When to use something else
From the community
What users are saying
“I dont think any (maybe Milvus cool-aid drinkers) would disagree. I recently used Milvus(for the first time) it made sense because it was quick to implement, purpose built, and is working exactly as I intended. Doesn't mean Ill go around blindly using Milvus everywhere.”
“well it's apples and oranges. Why do people buy F150 instead of fitting things into the trunk of a Corolla? cuz they got a lot of stuff. For people who run thousands of QPS on billions of vectors, Milvus is a solid choice.”
“I have been playing with Milvus but as my use case evolves, I think PGVector may be a better fit . I currently store a lot of enriched data in PG and embeddings in Milvus. Consolidating them into one DB makes sense to me.”
Frequently asked
Quick answers to common questions
What is Milvus?
Milvus is a vector-db tool for local AI workloads. Cloud-native vector database for billion-scale AI similarity search with hybrid search capabilities.
Is Milvus free and open source?
Yes, Milvus has 46,420 GitHub stars and is licensed under Apache-2.0. You can self-host it for free on docker, linux.
What platforms does Milvus support?
Milvus runs on docker, linux.
What hardware do I need for Milvus?
The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. Milvus has 46,420 GitHub stars and an active community.
Does Milvus support GPU acceleration?
Milvus supports GPU acceleration via CUDA, Metal, or Vulkan depending on your platform. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.
What are the best alternatives to Milvus?
Popular alternatives include other vector-db tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.
How much does Milvus cost?
Milvus is freemium. Check the official website for current pricing.
Pairs well with
Complementary tools, models, and hardware