--- title: "crate vs qdrant" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/crate-crate-vs-qdrant-qdrant" tools: ["crate-crate", "qdrant-qdrant"] --- # crate vs qdrant *GraphCanon updated Aug 21, 2026* ## Verdict Pick crate if crateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing; pick qdrant if high-performance vector database with support for distributed deployment. [crate](https://cratedb.com/database) reports 4.4k GitHub stars, 608 forks, and 331 open issues, last pushed Aug 21, 2026. [qdrant](https://qdrant.tech) has 34k stars, 2.5k forks, and 652 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [crate's repository](https://github.com/crate/crate) and [qdrant's repository](https://github.com/qdrant/qdrant). | | [crate](/tools/crate-crate.md) | [qdrant](/tools/qdrant-qdrant.md) | | --- | --- | --- | | Tagline | Distributed and Scalable SQL Database for Near Real-Time Data Analysis | High-performance, massive-scale Vector Database and Vector Search Engine | | Stars | 4,424 | 33,629 | | Forks | 608 | 2,529 | | Open issues | 331 | 652 | | Language | Java | Rust | | Adopt for | CrateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing. | High-performance vector database with support for distributed deployment. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Qdrant is available under the Apache License 2.0. | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [crate](/tools/crate-crate.md) | [qdrant](/tools/qdrant-qdrant.md) | | --- | --- | --- | | Open issues (now) | 331 | 652 | | Stars delta | +8 (30d) | Unknown | | Open issues delta | +14 (30d) | Unknown | | Full report | [trust report](/tools/crate-crate/trust.md) | [trust report](/tools/qdrant-qdrant/trust.md) | ## Decision facts: crate - **Adopt for:** CrateDB is distinguished by its capability to manage massive data volumes in near real-time with PostgreSQL compatibility and Lucene-based indexing. ## Decision facts: qdrant - **Hosting:** self hosted - Qdrant supports self-hosted deployment along with a cloud option at https://cloud.qdrant.io/. - **Requirements:** - Distributed deployment with sharding and replication is supported.; - No specific minimum RAM requirement provided. Performance and resource use will depend on the scale of embedding collections. - **Adopt for:** High-performance vector database with support for distributed deployment. - **License detail:** Qdrant is available under the Apache License 2.0. ## Choose when ### Choose crate if… - crate is primarily Java; qdrant is Rust. - Tags unique to crate: analytics, big-data, cratedb, database. - - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally. ### Choose qdrant if… - qdrant is primarily Rust; crate is Java. - Qdrant supports self-hosted deployment along with a cloud option at https://cloud.qdrant.io/. - Requirements: - Distributed deployment with sharding and replication is supported.; - No specific minimum RAM requirement provided. Performance and resource use will depend on the scale of embedding collections.. - Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, knn-algorithm. - qdrant ships Docker support for self-hosted deployment. - - When scalability and performance are paramount in handling large-scale embeddings. ## When NOT to use crate - - Avoid if your application environment strictly mandates a specific type of database that isn’t PostgreSQL-compliant, and requires custom integrations. - - Not suitable for applications needing absolute transactional guarantees with strict ACID compliance at the expense of performance. ## When NOT to use qdrant - - Avoid if your project requires more traditional relational database features as Qdrant focuses exclusively on vectors. - - If minimalistic setup is crucial, since Qdrant's capability for distributed deployment may introduce complexity that is not necessary for smaller-scale applications. - - For use cases where non-Rust environments significantly limit the feasibility of integrating external tools. ## Common questions ### What is the difference between crate and qdrant? crate: Distributed and Scalable SQL Database for Near Real-Time Data Analysis. qdrant: High-performance, massive-scale Vector Database and Vector Search Engine. See the comparison table for live GitHub stats and shared categories. ### When should I choose crate over qdrant? Choose crate over qdrant when crate is primarily Java; qdrant is Rust; Tags unique to crate: analytics, big-data, cratedb, database; - When you require a SQL-compliant database with the flexibility of distributed architecture that can scale horizontally. ### When should I choose qdrant over crate? Choose qdrant over crate when qdrant is primarily Rust; crate is Java; Qdrant supports self-hosted deployment along with a cloud option at https://cloud.qdrant.io/; Requirements: - Distributed deployment with sharding and replication is supported.; - No specific minimum RAM requirement provided. Performance and resource use will depend on the scale of embedding collections.; Tags unique to qdrant: ai-search, embeddings-similarity, hnsw, knn-algorithm; qdrant ships Docker support for self-hosted deployment; - When scalability and performance are paramount in handling large-scale embeddings. ### When should I avoid crate? - Avoid if your application environment strictly mandates a specific type of database that isn’t PostgreSQL-compliant, and requires custom integrations. - Not suitable for applications needing absolute transactional guarantees with strict ACID compliance at the expense of performance. ### When should I avoid qdrant? - Avoid if your project requires more traditional relational database features as Qdrant focuses exclusively on vectors. - If minimalistic setup is crucial, since Qdrant's capability for distributed deployment may introduce complexity that is not necessary for smaller-scale applications. - For use cases where non-Rust environments significantly limit the feasibility of integrating external tools. ### Is crate or qdrant more popular on GitHub? qdrant has more GitHub stars (33,629 vs 4,424). Stars measure visibility, not whether either tool fits your constraints. ### Are crate and qdrant open source? Yes - both are open-source projects on GitHub (crate: Apache-2.0, qdrant: Apache-2.0). ### Where can I find alternatives to crate or qdrant? GraphCanon lists graph-backed alternatives at [crate alternatives](/tools/crate-crate/alternatives) and [qdrant alternatives](/tools/qdrant-qdrant/alternatives) ([crate markdown twin](/tools/crate-crate/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/crate-crate-vs-qdrant-qdrant.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, crate or qdrant? crate: 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 crate and qdrant? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [crate trust report](/tools/crate-crate/trust); [qdrant trust report](/tools/qdrant-qdrant/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=crate-crate`](/api/graphcanon/graph?tool=crate-crate) - 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/_