--- title: "oasysdb vs redis" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/edwinkys-oasysdb-vs-redis-redis" tools: ["edwinkys-oasysdb", "redis-redis"] --- # oasysdb vs redis *GraphCanon updated Jul 11, 2026* ## Verdict Pick oasysdb when oasysdb is primarily Rust; redis is C; pick redis when redis is primarily C; oasysdb is Rust. [oasysdb](https://github.com/edwinkys/oasysdb) reports 375 GitHub stars, 14 forks, and 0 open issues, last pushed Nov 29, 2024. [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 [oasysdb's repository](https://github.com/edwinkys/oasysdb) and [redis's repository](https://github.com/redis/redis). | | [oasysdb](/tools/edwinkys-oasysdb.md) | [redis](/tools/redis-redis.md) | | --- | --- | --- | | Tagline | In-memory vector store with efficient read and write performance for semantic caching and retrieval system. Redis for Semantic Caching. | Redis is a preferred cache, data structure server, and document & vector query engine for real-time applications. | | Stars | 375 | 75,394 | | Forks | 14 | 24,718 | | Open issues | 0 | 2,867 | | Language | Rust | C | | 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. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Data & Retrieval, Evaluation & Observability, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oasysdb](/tools/edwinkys-oasysdb.md) | [redis](/tools/redis-redis.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 589d | 0d | | Open issues (now) | 0 | 2.9k | | Owner type | User | Organization | | Full report | [trust report](/tools/edwinkys-oasysdb/trust.md) | [trust report](/tools/redis-redis/trust.md) | ## 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 oasysdb if… - oasysdb is primarily Rust; redis is C. - License: oasysdb is Apache-2.0, redis is Other. - Tags unique to oasysdb: approximate-nearest-neighbors, ivfpq, mysql, postgresql. - Also covers Evaluation & Observability. ### Choose redis if… - redis is primarily C; oasysdb is Rust. - License: redis is Other, oasysdb 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 oasysdb - Last GitHub push was 590 days ago (dormant maintenance, Nov 29, 2024). Validate activity before betting a new project on oasysdb. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## 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 oasysdb and redis? oasysdb: In-memory vector store with efficient read and write performance for semantic caching and retrieval system. Redis for Semantic Caching.. 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 oasysdb over redis? Choose oasysdb over redis when oasysdb is primarily Rust; redis is C; License: oasysdb is Apache-2.0, redis is Other; Tags unique to oasysdb: approximate-nearest-neighbors, ivfpq, mysql, postgresql; Also covers Evaluation & Observability. ### When should I choose redis over oasysdb? Choose redis over oasysdb when redis is primarily C; oasysdb is Rust; License: redis is Other, oasysdb 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 oasysdb? Last GitHub push was 590 days ago (dormant maintenance, Nov 29, 2024). Validate activity before betting a new project on oasysdb. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### 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 oasysdb or redis more popular on GitHub? redis has more GitHub stars (75,394 vs 375). Stars measure visibility, not whether either tool fits your constraints. ### Are oasysdb and redis open source? Yes - both are open-source projects on GitHub (oasysdb: Apache-2.0, redis: Other). ### Where can I find alternatives to oasysdb or redis? GraphCanon lists graph-backed alternatives at [oasysdb alternatives](/tools/edwinkys-oasysdb/alternatives) and [redis alternatives](/tools/redis-redis/alternatives) ([oasysdb markdown twin](/tools/edwinkys-oasysdb/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/edwinkys-oasysdb-vs-redis-redis.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, oasysdb or redis? oasysdb: Dormant. 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 oasysdb and redis? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oasysdb trust report](/tools/edwinkys-oasysdb/trust); [redis trust report](/tools/redis-redis/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=edwinkys-oasysdb`](/api/graphcanon/graph?tool=edwinkys-oasysdb) - 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/_