--- title: "MyScaleDB vs qdrant" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/myscale-myscaledb-vs-qdrant-qdrant" tools: ["myscale-myscaledb", "qdrant-qdrant"] --- # MyScaleDB vs qdrant *GraphCanon updated Sep 30, 2026* ## Verdict Pick MyScaleDB if myScaleDB is a ClickHouse-derived system designed to enhance performance for vector and full-text searches. It integrates SQL support with advanced features like embedding-based search and image search; pick qdrant if qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication. [MyScaleDB](https://myscale.com) reports 1.0k GitHub stars, 73 forks, and 10 open issues, last pushed Feb 5, 2025. [qdrant](https://qdrant.tech) has 35k stars, 2.7k forks, and 733 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [MyScaleDB's repository](https://github.com/myscale/MyScaleDB) and [qdrant's repository](https://github.com/qdrant/qdrant). | | [MyScaleDB](/tools/myscale-myscaledb.md) | [qdrant](/tools/qdrant-qdrant.md) | | --- | --- | --- | | Tagline | A @ClickHouse fork that supports high-performance vector search and full-text search. | High-performance, massive-scale Vector Database and Vector Search Engine for AI | | Stars | 1,043 | 34,655 | | Forks | 73 | 2,683 | | Open issues | 10 | 733 | | Language | C++ | Rust | | Adopt for | MyScaleDB is a ClickHouse-derived system designed to enhance performance for vector and full-text searches. It integrates SQL support with advanced features like embedding-based search and image search. | Qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Qdrant is available under the Apache License, Version 2.0, which is a permissive free software license. | | Categories | Data & Retrieval, Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [MyScaleDB](/tools/myscale-myscaledb.md) | [qdrant](/tools/qdrant-qdrant.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 592d | 0d | | Open issues (now) | 10 | 733 | | Stars delta | +6 (30d) | +1.0k (30d) | | Open issues delta | 0 (30d) | +81 (30d) | | Full report | [trust report](/tools/myscale-myscaledb/trust.md) | [trust report](/tools/qdrant-qdrant/trust.md) | ## Decision facts: MyScaleDB - **Adopt for:** MyScaleDB is a ClickHouse-derived system designed to enhance performance for vector and full-text searches. It integrates SQL support with advanced features like embedding-based search and image search. ## Decision facts: qdrant - **Pricing:** freemium - 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. - **Adopt for:** Qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication. - **License detail:** Qdrant is available under the Apache License, Version 2.0, which is a permissive free software license. ## Choose when ### Choose MyScaleDB if… - MyScaleDB is primarily C++; qdrant is Rust. - Tags unique to MyScaleDB: ann, big-data, embedding, llm. - Also covers Data & Retrieval. - - When your application requires both fast vector and full-text search capabilities within a single database system without compromising on performance. ### Choose qdrant if… - qdrant is primarily Rust; MyScaleDB is C++. - 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.. - Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, hybrid-search. - qdrant ships Docker support for self-hosted deployment. - When you need a scalable solution for vector search that supports distributed deployment with sharding and replication. ## When NOT to use MyScaleDB - - If your primary requirement is only standard relational data operations and does not include vector or full-text search capabilities, as MyScaleDB's strength lies in these specific areas. - - For cases where your application environment strictly avoids C++ based systems due to language-specific preferences or constraints. ## When NOT to use 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. ## Common questions ### What is the difference between MyScaleDB and qdrant? MyScaleDB: A @ClickHouse fork that supports high-performance vector search and full-text 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 MyScaleDB over qdrant? Choose MyScaleDB over qdrant when MyScaleDB is primarily C++; qdrant is Rust; Tags unique to MyScaleDB: ann, big-data, embedding, llm; Also covers Data & Retrieval; - When your application requires both fast vector and full-text search capabilities within a single database system without compromising on performance. ### When should I choose qdrant over MyScaleDB? Choose qdrant over MyScaleDB when qdrant is primarily Rust; MyScaleDB is C++; 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.; Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, hybrid-search; qdrant ships Docker support for self-hosted deployment; When you need a scalable solution for vector search that supports distributed deployment with sharding and replication. ### When should I avoid MyScaleDB? - If your primary requirement is only standard relational data operations and does not include vector or full-text search capabilities, as MyScaleDB's strength lies in these specific areas. - For cases where your application environment strictly avoids C++ based systems due to language-specific preferences or constraints. ### 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 MyScaleDB or qdrant more popular on GitHub? qdrant has more GitHub stars (34,655 vs 1,043). Stars measure visibility, not whether either tool fits your constraints. ### Are MyScaleDB and qdrant open source? Yes - both are open-source projects on GitHub (MyScaleDB: Apache-2.0, qdrant: Apache-2.0). ### Where can I find alternatives to MyScaleDB or qdrant? GraphCanon lists graph-backed alternatives at [MyScaleDB alternatives](/tools/myscale-myscaledb/alternatives) and [qdrant alternatives](/tools/qdrant-qdrant/alternatives) ([MyScaleDB markdown twin](/tools/myscale-myscaledb/alternatives.md), [qdrant markdown twin](/tools/qdrant-qdrant/alternatives.md)), 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](/compare/myscale-myscaledb-vs-qdrant-qdrant.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, MyScaleDB or qdrant? MyScaleDB: Dormant. 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 MyScaleDB and qdrant? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [MyScaleDB trust report](/tools/myscale-myscaledb/trust); [qdrant trust report](/tools/qdrant-qdrant/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=myscale-myscaledb`](/api/graphcanon/graph?tool=myscale-myscaledb) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_