--- title: "awadb vs dingo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/awa-ai-awadb-vs-dingodb-dingo" tools: ["awa-ai-awadb", "dingodb-dingo"] --- # awadb vs dingo *GraphCanon updated Aug 21, 2026* ## Verdict Pick awadb if awaDB is an AI-native database for embedding vectors, offering real-time indexing with millisecond latency and no manual operations; pick dingo if dingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search. [awadb](https://ljeagle.github.io/awadb) reports 175 GitHub stars, 16 forks, and 4 open issues, last pushed Nov 4, 2024. [dingo](https://www.dingodb.com) has 1.7k stars, 265 forks, and 8 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [awadb's repository](https://github.com/awa-ai/awadb) and [dingo's repository](https://github.com/dingodb/dingo). | | [awadb](/tools/awa-ai-awadb.md) | [dingo](/tools/dingodb-dingo.md) | | --- | --- | --- | | Tagline | AI Native Database for embedding vectors | A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data | | Stars | 175 | 1,701 | | Forks | 16 | 265 | | Open issues | 4 | 8 | | Language | C++ | Java | | Adopt for | AwaDB is an AI-native database for embedding vectors, offering real-time indexing with millisecond latency and no manual operations. | DingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search. | | Persona | - | - | | Runtime | - | - | | License | 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. | Apache-2.0 | | Categories | Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awadb](/tools/awa-ai-awadb.md) | [dingo](/tools/dingodb-dingo.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 636d | 42d | | Open issues (now) | 4 | 8 | | Stars delta | Unknown | +2 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/awa-ai-awadb/trust.md) | [trust report](/tools/dingodb-dingo/trust.md) | ## 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. ## Decision facts: dingo - **Adopt for:** DingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search. ## Choose when ### Choose awadb if… - awadb is primarily C++; dingo 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. ### Choose dingo if… - dingo is primarily Java; awadb is C++. - Tags unique to dingo: embedding-search, embedding-store, hybrid-search, key-value-distributed-store. - Also covers Data & Retrieval. - You need a unified SQL interface for vector queries on diverse data types ## 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. ## When NOT to use dingo - If your application strictly demands non-SQL interfaces for querying - When the Apache-2.0 license is incompatible with your project requirements ## Common questions ### What is the difference between awadb and dingo? awadb: AI Native Database for embedding vectors. dingo: A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data. See the comparison table for live GitHub stats and shared categories. ### When should I choose awadb over dingo? Choose awadb over dingo when awadb is primarily C++; dingo 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 choose dingo over awadb? Choose dingo over awadb when dingo is primarily Java; awadb is C++; Tags unique to dingo: embedding-search, embedding-store, hybrid-search, key-value-distributed-store; Also covers Data & Retrieval; You need a unified SQL interface for vector queries on diverse data types. ### 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. ### When should I avoid dingo? If your application strictly demands non-SQL interfaces for querying When the Apache-2.0 license is incompatible with your project requirements ### Is awadb or dingo more popular on GitHub? dingo has more GitHub stars (1,701 vs 175). Stars measure visibility, not whether either tool fits your constraints. ### Are awadb and dingo open source? Yes - both are open-source projects on GitHub (awadb: Apache-2.0, dingo: Apache-2.0). ### Where can I find alternatives to awadb or dingo? GraphCanon lists graph-backed alternatives at [awadb alternatives](/tools/awa-ai-awadb/alternatives) and [dingo alternatives](/tools/dingodb-dingo/alternatives) ([awadb markdown twin](/tools/awa-ai-awadb/alternatives.md), [dingo markdown twin](/tools/dingodb-dingo/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/awa-ai-awadb-vs-dingodb-dingo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awadb or dingo? awadb: Dormant. dingo: Steady. 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 awadb and dingo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awadb trust report](/tools/awa-ai-awadb/trust); [dingo trust report](/tools/dingodb-dingo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=awa-ai-awadb`](/api/graphcanon/graph?tool=awa-ai-awadb) - 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/_