--- title: "meilisearch vs redis" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/meilisearch-meilisearch-vs-redis-redis" tools: ["meilisearch-meilisearch", "redis-redis"] --- # meilisearch vs redis *GraphCanon updated Jul 11, 2026* ## Verdict Pick meilisearch if meilisearch is a Rust-based, lightning-fast hybrid search engine that integrates easily into web and mobile applications. It supports both full-text and vector searches; 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. [meilisearch](https://www.meilisearch.com) reports 58k GitHub stars, 2.6k forks, and 310 open issues, last pushed Jul 9, 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 [meilisearch's repository](https://github.com/meilisearch/meilisearch) and [redis's repository](https://github.com/redis/redis). | | [meilisearch](/tools/meilisearch-meilisearch.md) | [redis](/tools/redis-redis.md) | | --- | --- | --- | | Tagline | A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. | Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications. | | Stars | 58,493 | 75,394 | | Forks | 2,607 | 24,718 | | Open issues | 310 | 2,867 | | Language | Rust | C | | Adopt for | Meilisearch is a Rust-based, lightning-fast hybrid search engine that integrates easily into web and mobile applications. It supports both full-text and vector searches. | 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 | Other | Other | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [meilisearch](/tools/meilisearch-meilisearch.md) | [redis](/tools/redis-redis.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 310 | 2.9k | | Full report | [trust report](/tools/meilisearch-meilisearch/trust.md) | [trust report](/tools/redis-redis/trust.md) | ## Decision facts: meilisearch - **Adopt for:** Meilisearch is a Rust-based, lightning-fast hybrid search engine that integrates easily into web and mobile applications. It supports both full-text and vector searches. ## 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 meilisearch if… - meilisearch is primarily Rust; redis is C. - Tags unique to meilisearch: ai, api, app-search, enterprise-search. - meilisearch ships Docker support for self-hosted deployment. - - You require fast integration capabilities for your web or mobile application, as Meilisearch offers flexible deployment options. ### Choose redis if… - redis is primarily C; meilisearch is Rust. - Tags unique to redis: cache, caching, in-memory, json. - You need high-speed access to frequently used data due to Redis's in-memory nature. ## When NOT to use meilisearch - - When you specifically need language support for a large number of languages beyond what Meilisearch currently offers, as some specialized multilingual search engines might handle more languages nimb - - If your application does not require real-time search-as-you-type or typo tolerance features which can add overhead and may slow down performance in less demanding scenarios. ## 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 meilisearch and redis? meilisearch: A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.. 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 meilisearch over redis? Choose meilisearch over redis when meilisearch is primarily Rust; redis is C; Tags unique to meilisearch: ai, api, app-search, enterprise-search; meilisearch ships Docker support for self-hosted deployment; - You require fast integration capabilities for your web or mobile application, as Meilisearch offers flexible deployment options. ### When should I choose redis over meilisearch? Choose redis over meilisearch when redis is primarily C; meilisearch is Rust; Tags unique to redis: cache, caching, in-memory, json; You need high-speed access to frequently used data due to Redis's in-memory nature. ### When should I avoid meilisearch? - When you specifically need language support for a large number of languages beyond what Meilisearch currently offers, as some specialized multilingual search engines might handle more languages nimb - If your application does not require real-time search-as-you-type or typo tolerance features which can add overhead and may slow down performance in less demanding scenarios. ### 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 meilisearch or redis more popular on GitHub? redis has more GitHub stars (75,394 vs 58,493). Stars measure visibility, not whether either tool fits your constraints. ### Are meilisearch and redis open source? Yes - both are open-source projects on GitHub (meilisearch: Other, redis: Other). ### Where can I find alternatives to meilisearch or redis? GraphCanon lists graph-backed alternatives at [meilisearch alternatives](/tools/meilisearch-meilisearch/alternatives) and [redis alternatives](/tools/redis-redis/alternatives) ([meilisearch markdown twin](/tools/meilisearch-meilisearch/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/meilisearch-meilisearch-vs-redis-redis.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, meilisearch or redis? meilisearch: 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 meilisearch and redis? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [meilisearch trust report](/tools/meilisearch-meilisearch/trust); [redis trust report](/tools/redis-redis/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=meilisearch-meilisearch`](/api/graphcanon/graph?tool=meilisearch-meilisearch) - 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/_