Milvus vs Qdrant
Comparing architecture, runtime limits, open-source licenses, and monthly costs for autonomous agent pipelines.
Detailed Specifications & Compatibility Matrix
Extracted directly from GitHub REST API & official developer documentation
| Technical Feature / Metric | Milvus | Qdrant |
|---|---|---|
| Developer / Organization | LF AI & Data Foundation / Zilliz (Charles Xie) | Qdrant Solutions GmbH (Andre Zayarni & Andrey Vasnetsov) |
| Open-Source Engine | ✓ Open Source (Apache-2.0) | ✓ Open Source (Apache-2.0) |
| GitHub Stars (Repo/SDK) | ★ 46,477 GitHub Stars | ★ 35,242 GitHub Stars |
| Core Repository Language | Go | Rust |
| Supported SDK Clients | ||
| Self-Hosted Deployment | ✓ Supported | ✓ Supported |
| Docker / Container Ready | ✓ Official Image | ✓ Official Image |
| Model Context Protocol (MCP) | ✓ Native MCP | ✓ Native MCP |
| Billing Architecture | hybrid | hybrid |
| Developer Free Tier | ✓ Yes $100 in credits on Zilliz Cloud + unlimited self-hosted | ✓ Yes Permanent 1GB cluster on Qdrant Cloud + unlimited self-hosted |
| Entry Paid Tier (Monthly) | $65 USD / mo | $25 USD / mo |
| Pricing & Cost Architecture | 100% Free and open-source under Apache-2.0. Zilliz Cloud (fully managed Milvus) provides a free starter cluster with production managed tiers starting at $65/mo. | 100% Free and open-source under Apache-2.0 for self-hosting. Qdrant Cloud provides a perpetual 1GB free cluster; production dedicated managed clusters start at $25/mo. |
| Key Engineering Insight | Graduated as a top-tier open-source project under the Linux Foundation (LF AI & Data); powers similarity search across collections exceeding tens of billions of embeddings in Fortune 500 banks. | Engineered from scratch in Rust with SIMD hardware optimizations to prevent unpredictable garbage collection pauses that plague Java- and C++-based vector engines. |
Strengths & Trade-Offs
Objective engineering evaluation of both platforms
Milvus Evaluation
Key Advantages
- ✓ Engineered specifically for massive enterprise scale: partitions and queries billions of high-dimensional vectors
- ✓ Disaggregated storage-and-compute architecture leveraging cloud object storage (S3/MinIO) and message brokers
- ✓ Hardware-accelerated indexing with GPU support (cuVS / RAFT) for rapid index construction on massive datasets
Limitations & Trade-Offs
- ✕ High deployment and operational complexity: distributed mode requires Kubernetes, etcd, Pulsar/Kafka, and MinIO
- ✕ Substantial architectural overhead for lightweight single-agent prototypes with fewer than 500,000 vectors
Qdrant Evaluation
Key Advantages
- ✓ Written in Rust with native SIMD instruction support, delivering ultra-high search throughput and low tail latencies
- ✓ Full payload-based metadata filtering with comprehensive payload indexing without search degradation
- ✓ Permissive Apache-2.0 open-source license with official Docker images, Kubernetes Helm charts, and cloud clusters
Limitations & Trade-Offs
- ✕ Self-hosting multi-node distributed clusters requires operational tuning of RAM, disk cache, and snapshots
- ✕ Configuring scalar quantization thresholds requires testing to balance memory reduction against recall accuracy
Source Quotes
Direct excerpts from official documentation backing our extracted specifications
Milvus Documentation Proof
"Zilliz Cloud standard dedicated clusters begin at $65/month."
"Free community cluster available on Zilliz Cloud + $100 compute credit."
"Apache 2.0 open source project with Milvus Operator for Kubernetes."
Qdrant Documentation Proof
"Managed Qdrant Cloud dedicated clusters begin at $25/month."
"Free 1GB cluster available on Qdrant Cloud forever."
"100% open source under Apache 2.0 with official Docker and Kubernetes manifests."
Frequently Asked Questions: Milvus vs Qdrant
Architectural trade-offs and decision criteria
Is Milvus or Qdrant cheaper for developers?
Milvus has a starting price of $65/mo (hybrid), while Qdrant starts at $25/mo (hybrid). Milvus includes a free tier ($100 in credits on Zilliz Cloud + unlimited self-hosted). Qdrant offers a free tier (Permanent 1GB cluster on Qdrant Cloud + unlimited self-hosted).
Can I self-host Milvus and Qdrant in my own infrastructure?
Milvus is self-hostable under the Apache-2.0 license. In comparison, Qdrant is available for self-hosting with Apache-2.0 licensing.
Do Milvus and Qdrant support the Model Context Protocol (MCP)?
Milvus has native support for MCP servers. Qdrant fully supports Model Context Protocol integrations.
Which programming languages have official SDKs for Milvus vs Qdrant?
Milvus provides official SDKs in: python, java, go, typescript. Meanwhile, Qdrant supports: rust, python, typescript, go.