milvus vs qdrant

Common questions

When would neither Qdrant nor Milvus be a suitable choice?

Neither Qdrant nor Milvus would be suitable if a project does not require vector similarity search or approximate nearest neighbor search capabilities. Additionally, if the project's requirements are better met by a non-vector database or a different type of database, these tools would not be appropriate.

What is the difference between milvus and qdrant?

milvus: Milvus is a high-performance, cloud-native vector database for scalable vector ANN search. qdrant: High-performance, massive-scale Vector Database and Vector Search Engine for AI. See the comparison table for live GitHub stats and shared categories.

When should I choose milvus over qdrant?

Choose milvus over qdrant when milvus is primarily Go; qdrant is Rust; Milvus is designed to be self-hosted and can be deployed in a cloud-native environment; Pricing: Milvus is free to use under the Apache-2.0 license, but additional services or support may come at a cost.; Requirements: Min 4 GB RAM; Requires Docker; Third-party dependencies must be installed before using Milvus.; Milvus is built with Go and requires a Go environment to run.; Qdrant is a high-performance vector database that serves similar purposes to Milvus, such as scaling vector search, but they are independent solutions; Tags unique to milvus: anns, cloud-native, diskann, distributed; Also covers Data & Retrieval; When you need a high-performance vector database that supports scalable approximate nearest neighbor search.

When should I choose qdrant over milvus?

Choose qdrant over milvus when qdrant is primarily Rust; milvus is Go; Pricing: Qdrant offers a free open-source version under the Apache License, with additional paid services available in the cloud.; Requirements: Min 2 GB RAM; Qdrant supports distributed deployment, which may require additional resources depending on the scale of deployment.; Qdrant is a high-performance vector database that serves similar purposes to Milvus, such as scaling vector search, but they are independent solutions; Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, hybrid-search; When you need a scalable solution for vector search that supports distributed deployment with sharding and replication.

When should I avoid milvus?

If your project does not require vector similarity search or approximate nearest neighbor search capabilities. When the project is not cloud-native and does not benefit from cloud-native optimizations. If the project's requirements are better met by a non-vector database or a different type of database. When the specific indexing techniques and performance characteristics of Milvus do not align with your project's needs.

When should I avoid qdrant?

If your project requires a database that is not built in Rust, and you have constraints against using Rust-based solutions. When you need a vector database that does not support distributed deployment, as Qdrant's strength lies in its scalability features.

Is milvus or qdrant more popular on GitHub?

milvus has more GitHub stars (46,152 vs 34,655). Stars measure visibility, not whether either tool fits your constraints.

Are milvus and qdrant open source?

Yes - both are open-source projects on GitHub (milvus: Apache-2.0, qdrant: Apache-2.0).

Where can I find alternatives to milvus or qdrant?

GraphCanon lists graph-backed alternatives at milvus alternatives and qdrant alternatives (milvus markdown twin, qdrant markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, milvus or qdrant?

milvus: Very active. qdrant: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for milvus and qdrant?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: milvus trust report; qdrant trust report.