--- title: "arcadedb vs awadb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arcadedata-arcadedb-vs-awa-ai-awadb" tools: ["arcadedata-arcadedb", "awa-ai-awadb"] --- # arcadedb vs awadb *GraphCanon updated Aug 21, 2026* ## Verdict Pick arcadedb if use ArcadeDB if you require a multi-model database system supporting a variety of query languages and vector embeddings for AI applications; pick awadb if awaDB is an AI-native database for embedding vectors, offering real-time indexing with millisecond latency and no manual operations. [arcadedb](https://arcadedb.com) reports 1.1k GitHub stars, 134 forks, and 95 open issues, last pushed Aug 21, 2026. [awadb](https://ljeagle.github.io/awadb) has 175 stars, 16 forks, and 4 open issues, last pushed Nov 4, 2024. Figures are from public GitHub metadata via [arcadedb's repository](https://github.com/ArcadeData/arcadedb) and [awadb's repository](https://github.com/awa-ai/awadb). | | [arcadedb](/tools/arcadedata-arcadedb.md) | [awadb](/tools/awa-ai-awadb.md) | | --- | --- | --- | | Tagline | ArcadeDB Multi-Model Database supports Vector Embeddings | AI Native Database for embedding vectors | | Stars | 1,096 | 175 | | Forks | 134 | 16 | | Open issues | 95 | 4 | | Language | Java | C++ | | Adopt for | Use ArcadeDB if you require a multi-model database system supporting a variety of query languages and vector embeddings for AI applications. | AwaDB is an AI-native database for embedding vectors, offering real-time indexing with millisecond latency and no manual operations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | This tool uses an Apache-2.0 license, allowing free use and modification for both commercial and non-commercial purposes, provided that the copyright notice is retained. | | Categories | Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [arcadedb](/tools/arcadedata-arcadedb.md) | [awadb](/tools/awa-ai-awadb.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 636d | | Open issues (now) | 95 | 4 | | Stars delta | +61 (30d) | Unknown | | Open issues delta | +24 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/arcadedata-arcadedb/trust.md) | [trust report](/tools/awa-ai-awadb/trust.md) | ## Decision facts: arcadedb - **Adopt for:** Use ArcadeDB if you require a multi-model database system supporting a variety of query languages and vector embeddings for AI applications. ## Decision facts: awadb - **Requirements:** Requires Docker - **Adopt for:** AwaDB is an AI-native database for embedding vectors, offering real-time indexing with millisecond latency and no manual operations. - **License detail:** This tool uses an Apache-2.0 license, allowing free use and modification for both commercial and non-commercial purposes, provided that the copyright notice is retained. ## Choose when ### Choose arcadedb if… - arcadedb is primarily Java; awadb is C++. - Tags unique to arcadedb: arcadedb, database, dbms, distributed. - arcadedb ships Docker support for self-hosted deployment. - When building systems that need to support SQL, Cypher, Gremlin, HTTP/JSON, MongoDB, or Redis interfaces simultaneously. ### Choose awadb if… - awadb is primarily C++; arcadedb is Java. - Requirements: Requires Docker. - Tags unique to awadb: ai-native, aigc, chatgpt, embedding-vectors. - When you prioritize ease of use without the need to define complex schemas or manage vector indexing details manually. ## When NOT to use arcadedb - If your project strictly requires the specific functionalities and history of OrientDB that ArcadeDB may not fully replicate despite being a conceptual fork. - When you need a database system that exclusively focuses on one model, as ArcadeDB's multi-model nature might introduce complexity without necessary benefits. ## When NOT to use awadb - When the requirement is for a database that can also function seamlessly on Windows without docker deployment complexities. - If you need extensive customization of vector embedding processes beyond what AwaDB offers with its default integrations like SentenceTransformer. ## Common questions ### What is the difference between arcadedb and awadb? arcadedb: ArcadeDB Multi-Model Database supports Vector Embeddings. awadb: AI Native Database for embedding vectors. See the comparison table for live GitHub stats and shared categories. ### When should I choose arcadedb over awadb? Choose arcadedb over awadb when arcadedb is primarily Java; awadb is C++; Tags unique to arcadedb: arcadedb, database, dbms, distributed; arcadedb ships Docker support for self-hosted deployment; When building systems that need to support SQL, Cypher, Gremlin, HTTP/JSON, MongoDB, or Redis interfaces simultaneously. ### When should I choose awadb over arcadedb? Choose awadb over arcadedb when awadb is primarily C++; arcadedb is Java; Requirements: Requires Docker; Tags unique to awadb: ai-native, aigc, chatgpt, embedding-vectors; When you prioritize ease of use without the need to define complex schemas or manage vector indexing details manually. ### When should I avoid arcadedb? If your project strictly requires the specific functionalities and history of OrientDB that ArcadeDB may not fully replicate despite being a conceptual fork. When you need a database system that exclusively focuses on one model, as ArcadeDB's multi-model nature might introduce complexity without necessary benefits. ### When should I avoid awadb? When the requirement is for a database that can also function seamlessly on Windows without docker deployment complexities. If you need extensive customization of vector embedding processes beyond what AwaDB offers with its default integrations like SentenceTransformer. ### Is arcadedb or awadb more popular on GitHub? arcadedb has more GitHub stars (1,096 vs 175). Stars measure visibility, not whether either tool fits your constraints. ### Are arcadedb and awadb open source? Yes - both are open-source projects on GitHub (arcadedb: Apache-2.0, awadb: Apache-2.0). ### Where can I find alternatives to arcadedb or awadb? GraphCanon lists graph-backed alternatives at [arcadedb alternatives](/tools/arcadedata-arcadedb/alternatives) and [awadb alternatives](/tools/awa-ai-awadb/alternatives) ([arcadedb markdown twin](/tools/arcadedata-arcadedb/alternatives.md), [awadb markdown twin](/tools/awa-ai-awadb/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/arcadedata-arcadedb-vs-awa-ai-awadb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, arcadedb or awadb? arcadedb: Very active. awadb: Dormant. 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 awadb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arcadedb trust report](/tools/arcadedata-arcadedb/trust); [awadb trust report](/tools/awa-ai-awadb/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/_