server
Open source
free (OSS) + Zilliz Cloud

Milvus

Distributed vector database designed for billion-scale workloads. Compute-storage separation, GPU-accelerated index builds, multi-tenant from the ground up. The pick when you've outgrown Qdrant single-node.

By Fredoline Eruo·Last verified May 6, 2026·30,000 GitHub stars

Overview

Distributed vector database designed for billion-scale workloads. Compute-storage separation, GPU-accelerated index builds, multi-tenant from the ground up. The pick when you've outgrown Qdrant single-node.

Stack & relationships

How Milvus relates to other entries in the catalog — recommended pairings, alternatives, dependencies, and edges to avoid. Each edge carries a one-line operator note from our editorial team.

Milvus ↔ ecosystem

Works with

  • Works with
    AnythingLLM

    Production-scale vector store. Wire it when you're past the LanceDB scaling ceiling.

Alternatives

  • Competes with
    Qdrant

    Qdrant is single-node-friendly and fast to deploy; Milvus is the heavy-duty distributed option for the 100M+ vector scale.

  • Alternative to
    Qdrant

    Milvus targets 100M+ vector scale with distributed deployment; Qdrant is single-node-friendly. Switch from Qdrant to Milvus only when you've outgrown single-node.

Pros

  • Genuinely scales to 10B+ vectors
  • GPU index acceleration
  • Multi-tenancy built in

Cons

  • Operationally heavy — Kubernetes recommended
  • Overkill for under 100M vectors

Compatibility

Operating systems
Linux
Docker
Kubernetes
GPU backends
NVIDIA CUDA (optional acceleration)
LicenseOpen source · free (OSS) + Zilliz Cloud

Get Milvus

Frequently asked

Is Milvus free?

Milvus has a paid tier (free (OSS) + Zilliz Cloud). Check the pricing page for current terms.

What operating systems does Milvus support?

Milvus supports Linux, Docker, Kubernetes.

Which GPUs work with Milvus?

Milvus supports NVIDIA CUDA (optional acceleration). CPU-only inference is also possible but slow.

Reviewed by RunLocalAI Editorial. See our editorial policy for how we evaluate tools.