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HomeVector DatabasesCompareMilvus / Zilliz Cloud vs Qdrant
Updated May 13, 2026 · Independent Analysis

Milvus / Zilliz CloudvsQdrant

Capability Overview
Milvus / Zilliz Cloud logo - software comparison
4.4/5-0.1 vs Qdrant
Only in Milvus / Zilliz Cloud
  • Distributed Architecture
  • Billion-Scale Vectors
  • ANNS Algorithms (HNSW, IVF, DiskANN)
✓ Free plan5k+ users · est. 2017
Qdrant logo - software comparison
Qdrantvs Milvus / Zilliz Cloud
4.5/5+0.1 vs Milvus / Zilliz Cloud
Only in Qdrant
  • Written in Rust
  • HNSW Index
  • Sparse Vectors (BM25-compatible)
✓ Free plan3k+ users · est. 2021

Pricing Intelligence

Milvus / Zilliz Cloud logo - software comparison

Milvus / Zilliz Cloud Plans

Free tier available

Milvus Open Source0
Open Source
  • Full features
  • Apache 2.0
  • Community support
Zilliz Cloud Serverless
Custom
  • From $0.1/CU-hr
  • Managed Milvus
  • Auto-scaling
Enterprise
Custom
  • Dedicated clusters
  • SLA
  • Private VPC
Full Milvus / Zilliz Cloud Pricing Breakdown →
Qdrant logo - software comparison

Qdrant Plans

Free tier available

Open Source0
Open Source
  • Full features
  • Apache 2.0
  • Docker deployment
Qdrant Cloud
Custom
  • From $0.014/hr
  • Managed clusters
  • Free tier available
Enterprise
Custom
  • Private cloud
  • SSO
  • Dedicated support
Full Qdrant Pricing Breakdown →

Feature Matrix

1 differences found across 10 standardized features

Feature
Milvus / Zilliz Cloud
Qdrant
GPU Acceleration
Total (raw)
16
16

Pros & Cons Face-Off

Evaluative strengths and weaknesses — not feature lists

Pros
  • +CNCF project — battle-tested for billion-scale workloads
  • +GPU acceleration and DiskANN for cost-efficient large-scale search
  • +Distributed architecture with independent storage/compute scaling
  • +Multi-vector search supports complex AI use cases
Cons
  • Operational complexity — requires Kubernetes expertise for self-hosted
  • Overkill for small-scale RAG applications
Pros
  • +Top benchmark performance via Rust and quantization
  • +Named vectors enable multimodal and complex search patterns
  • +Binary quantization reduces memory 32x
  • +Excellent documentation and developer experience
Cons
  • Smaller managed cloud ecosystem than Pinecone
  • Newer company — fewer enterprise customer references

At a Glance

User Rating
4.4/5vs4.5/5
Milvus / Zilliz Cloud
Qdrant
Starting Price
Pay-per-usevsPay-per-use
Milvus / Zilliz Cloud
Qdrant
Feature Count
16 featuresvs16 features
Milvus / Zilliz Cloud
Qdrant
User Base
5vs3
Milvus / Zilliz Cloud
Qdrant

Frequently Asked Questions

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Authored by Oleh KemExpert verified·Updated May 13, 2026·Our methodology