--- title: "qdrant vs redis" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/qdrant-qdrant-vs-redis-redis" tools: ["qdrant-qdrant", "redis-redis"] --- # qdrant vs redis *GraphCanon updated Jul 11, 2026* ## Verdict Pick qdrant if high-performance vector database with support for distributed deployment; pick redis if redis is an in-memory database designed as a versatile cache and data structure store with advanced features such as JSON operations and vector searches, making it suitable for real-time applications. [qdrant](https://qdrant.tech) reports 33k GitHub stars, 2.5k forks, and 631 open issues, last pushed Jul 11, 2026. [redis](http://redis.io) has 75k stars, 25k forks, and 2.9k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [qdrant's repository](https://github.com/qdrant/qdrant) and [redis's repository](https://github.com/redis/redis). | | [qdrant](/tools/qdrant-qdrant.md) | [redis](/tools/redis-redis.md) | | --- | --- | --- | | Tagline | High-performance, massive-scale Vector Database and Vector Search Engine | Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications. | | Stars | 33,143 | 75,394 | | Forks | 2,483 | 24,718 | | Open issues | 631 | 2,867 | | Language | Rust | C | | Adopt for | High-performance vector database with support for distributed deployment. | Redis is an in-memory database designed as a versatile cache and data structure store with advanced features such as JSON operations and vector searches, making it suitable for real-time applications. | | Persona | - | - | | Runtime | - | - | | License | Qdrant is available under the Apache License 2.0. | Other | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [qdrant](/tools/qdrant-qdrant.md) | [redis](/tools/redis-redis.md) | | --- | --- | --- | | Open issues (now) | 631 | 2.9k | | Full report | [trust report](/tools/qdrant-qdrant/trust.md) | [trust report](/tools/redis-redis/trust.md) | ## 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. ## Decision facts: redis - **Adopt for:** Redis is an in-memory database designed as a versatile cache and data structure store with advanced features such as JSON operations and vector searches, making it suitable for real-time applications. ## Choose when ### Choose qdrant if… - qdrant is primarily Rust; redis is C. - License: qdrant is Apache-2.0, redis is Other. - 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. - - When scalability and performance are paramount in handling large-scale embeddings. ### Choose redis if… - redis is primarily C; qdrant is Rust. - License: redis is Other, qdrant is Apache-2.0. - Tags unique to redis: cache, caching, database, in-memory. - You need high-speed access to frequently used data due to Redis's in-memory nature. ## 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. ## When NOT to use redis - Your project has limited memory resources since Redis relies on in-memory storage, which could lead to high costs or operational challenges with large datasets. - You prioritize persistence over speed; while Redis offers persistence options, its primary design is for real-time access and not robust disk-based backup solutions like traditional SQL databases. - Your application workload does not benefit from the fast read/write capabilities and rich data structure support offered by Redis, possibly implying that a less specialized database would suffice. ## Common questions ### What is the difference between qdrant and redis? qdrant: High-performance, massive-scale Vector Database and Vector Search Engine. redis: Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications.. See the comparison table for live GitHub stats and shared categories. ### When should I choose qdrant over redis? Choose qdrant over redis when qdrant is primarily Rust; redis is C; License: qdrant is Apache-2.0, redis is Other; 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; - When scalability and performance are paramount in handling large-scale embeddings. ### When should I choose redis over qdrant? Choose redis over qdrant when redis is primarily C; qdrant is Rust; License: redis is Other, qdrant is Apache-2.0; Tags unique to redis: cache, caching, database, in-memory; You need high-speed access to frequently used data due to Redis's in-memory nature. ### 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. ### When should I avoid redis? Your project has limited memory resources since Redis relies on in-memory storage, which could lead to high costs or operational challenges with large datasets. You prioritize persistence over speed; while Redis offers persistence options, its primary design is for real-time access and not robust disk-based backup solutions like traditional SQL databases. Your application workload does not benefit from the fast read/write capabilities and rich data structure support offered by Redis, possibly implying that a less specialized database would suffice. ### Is qdrant or redis more popular on GitHub? redis has more GitHub stars (75,394 vs 33,143). Stars measure visibility, not whether either tool fits your constraints. ### Are qdrant and redis open source? Yes - both are open-source projects on GitHub (qdrant: Apache-2.0, redis: Other). ### Where can I find alternatives to qdrant or redis? GraphCanon lists graph-backed alternatives at [qdrant alternatives](/tools/qdrant-qdrant/alternatives) and [redis alternatives](/tools/redis-redis/alternatives) ([qdrant markdown twin](/tools/qdrant-qdrant/alternatives.md), [redis markdown twin](/tools/redis-redis/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/qdrant-qdrant-vs-redis-redis.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, qdrant or redis? qdrant: Very active. redis: 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 qdrant and redis? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [qdrant trust report](/tools/qdrant-qdrant/trust); [redis trust report](/tools/redis-redis/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=qdrant-qdrant`](/api/graphcanon/graph?tool=qdrant-qdrant) - 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/_