--- title: "arcadedb vs RediSearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arcadedata-arcadedb-vs-redisearch-redisearch" tools: ["arcadedata-arcadedb", "redisearch-redisearch"] --- # arcadedb vs RediSearch Neutral, constraint-first comparison with live GitHub stats. | | [arcadedb](/tools/arcadedata-arcadedb.md) | [RediSearch](/tools/redisearch-redisearch.md) | | --- | --- | --- | | Tagline | Multi Model DBMS Built for Extreme Performance | A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search, and aggregations. | | Stars | 1,006 | 6,171 | | Forks | 119 | 587 | | Open issues | 98 | 659 | | Language | Java | C | | Adopt for | ArcadeDB is a Multi-Model Database Management System that supports multiple data models (SQL, Cypher, Gremlin), and specializes in vector embeddings. Given its heritage as a conceptual fork of OrientDB and robust support | RediSearch is a module for Redis that offers powerful querying capabilities including full-text search, secondary indexing, fuzzy matching, and vector similarity searches. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [arcadedb](/tools/arcadedata-arcadedb.md) | [RediSearch](/tools/redisearch-redisearch.md) | | --- | --- | --- | | Open issues (now) | 98 | 659 | | Security scan | 1 medium (1 medium) | No lockfile | | Full report | [trust report](/tools/arcadedata-arcadedb/trust.md) | [trust report](/tools/redisearch-redisearch/trust.md) | **Typed relationship:** arcadedb _(alternative)_ RediSearch RediSearch provides full-text search and vector similarity search functionalities which overlap with ArcadeDB’s support for various models including vectors. ## Decision facts: arcadedb - **Adopt for:** ArcadeDB is a Multi-Model Database Management System that supports multiple data models (SQL, Cypher, Gremlin), and specializes in vector embeddings. Given its heritage as a conceptual fork of OrientDB and robust support ## Decision facts: RediSearch - **Adopt for:** RediSearch is a module for Redis that offers powerful querying capabilities including full-text search, secondary indexing, fuzzy matching, and vector similarity searches. ## Choose when ### Choose arcadedb if… - arcadedb is primarily Java; RediSearch is C. - License: arcadedb is Apache-2.0, RediSearch is Other. - RediSearch provides full-text search and vector similarity search functionalities which overlap with ArcadeDB’s support for various models including vectors. - Tags unique to arcadedb: distributed, docker, embedded, document. - You require seamless integration with various query languages such as SQL, Cypher, or Gremlin for querying different types of data. ### Choose RediSearch if… - RediSearch is primarily C; arcadedb is Java. - License: RediSearch is Other, arcadedb is Apache-2.0. - RediSearch provides full-text search and vector similarity search functionalities which overlap with ArcadeDB’s support for various models including vectors. - Tags unique to RediSearch: inverted-index, fulltext, vector-database, gis. - Also covers Data & Retrieval. - When you need to integrate advanced query features directly into your existing Redis setup without the overhead of managing another system. ## When NOT to use arcadedb - You are building an application that requires real-time processing capabilities and microsecond latencies, as ArcadeDB’s focus on vector embedding support and multi-model querying might not optimizeit ## When NOT to use RediSearch - For standalone deployments, as starting from Redis version 8, RediSearch becomes an integrated feature of Redis itself, making a separate installation unnecessary for new installations. - If you are operating on 32-bit systems because RediSearch explicitly states it does not support them anymore. - When your project necessitates integration with databases other than Redis as RediSearch is specifically designed to enhance and integrate within the Redis environment. ## Common questions ### What is the difference between arcadedb and RediSearch? arcadedb: Multi Model DBMS Built for Extreme Performance. RediSearch: A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search, and aggregations.. See the comparison table for live GitHub stats and shared categories. ### When should I choose arcadedb over RediSearch? Choose arcadedb over RediSearch when arcadedb is primarily Java; RediSearch is C; License: arcadedb is Apache-2.0, RediSearch is Other; RediSearch provides full-text search and vector similarity search functionalities which overlap with ArcadeDB’s support for various models including vectors; Tags unique to arcadedb: distributed, docker, embedded, document; You require seamless integration with various query languages such as SQL, Cypher, or Gremlin for querying different types of data. ### When should I choose RediSearch over arcadedb? Choose RediSearch over arcadedb when RediSearch is primarily C; arcadedb is Java; License: RediSearch is Other, arcadedb is Apache-2.0; RediSearch provides full-text search and vector similarity search functionalities which overlap with ArcadeDB’s support for various models including vectors; Tags unique to RediSearch: inverted-index, fulltext, vector-database, gis; Also covers Data & Retrieval; When you need to integrate advanced query features directly into your existing Redis setup without the overhead of managing another system. ### When should I avoid arcadedb? You are building an application that requires real-time processing capabilities and microsecond latencies, as ArcadeDB’s focus on vector embedding support and multi-model querying might not optimizeit ### When should I avoid RediSearch? For standalone deployments, as starting from Redis version 8, RediSearch becomes an integrated feature of Redis itself, making a separate installation unnecessary for new installations. If you are operating on 32-bit systems because RediSearch explicitly states it does not support them anymore. When your project necessitates integration with databases other than Redis as RediSearch is specifically designed to enhance and integrate within the Redis environment. ### Is arcadedb or RediSearch more popular on GitHub? RediSearch has more GitHub stars (6,171 vs 1,006). Stars measure visibility, not whether either tool fits your constraints. ### Are arcadedb and RediSearch open source? Yes - both are open-source projects on GitHub (arcadedb: Apache-2.0, RediSearch: Other). ### Where can I find alternatives to arcadedb or RediSearch? GraphCanon lists graph-backed alternatives at /tools/arcadedata-arcadedb/alternatives and /tools/redisearch-redisearch/alternatives (/tools/arcadedata-arcadedb/alternatives.md, /tools/redisearch-redisearch/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 /compare/arcadedata-arcadedb-vs-redisearch-redisearch.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, arcadedb or RediSearch? arcadedb: Very active. RediSearch: 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 arcadedb and RediSearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arcadedb: /tools/arcadedata-arcadedb/trust; RediSearch: /tools/redisearch-redisearch/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arcadedata-arcadedb`](/api/graphcanon/graph?tool=arcadedata-arcadedb) - 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/_