--- title: "dingo vs infinity" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dingodb-dingo-vs-infiniflow-infinity" tools: ["dingodb-dingo", "infiniflow-infinity"] --- # dingo vs infinity *GraphCanon updated Aug 21, 2026* ## Verdict Pick dingo if dingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search; pick infinity if designed for high-speed hybrid searches in LLM applications, infinity supports dense vector, sparse vector, tensor, and full-text data types. [dingo](https://www.dingodb.com) reports 1.7k GitHub stars, 265 forks, and 8 open issues, last pushed Jul 10, 2026. [infinity](https://infiniflow.org) has 4.7k stars, 437 forks, and 64 open issues, last pushed Aug 17, 2026. Figures are from public GitHub metadata via [dingo's repository](https://github.com/dingodb/dingo) and [infinity's repository](https://github.com/infiniflow/infinity). | | [dingo](/tools/dingodb-dingo.md) | [infinity](/tools/infiniflow-infinity.md) | | --- | --- | --- | | Tagline | A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data | AI-native database for LLM applications offering fast hybrid search capabilities. | | Stars | 1,701 | 4,675 | | Forks | 265 | 437 | | Open issues | 8 | 64 | | Language | Java | C++ | | Adopt for | DingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search. | Designed for high-speed hybrid searches in LLM applications, infinity supports dense vector, sparse vector, tensor, and full-text data types. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dingo](/tools/dingodb-dingo.md) | [infinity](/tools/infiniflow-infinity.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 42d | 3d | | Open issues (now) | 8 | 64 | | Stars delta | +2 (30d) | +51 (30d) | | Open issues delta | 0 (30d) | -2 (30d) | | Full report | [trust report](/tools/dingodb-dingo/trust.md) | [trust report](/tools/infiniflow-infinity/trust.md) | ## 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. ## Decision facts: infinity - **Adopt for:** Designed for high-speed hybrid searches in LLM applications, infinity supports dense vector, sparse vector, tensor, and full-text data types. ## Choose when ### Choose dingo if… - dingo is primarily Java; infinity is C++. - Tags unique to dingo: embedding-search, embedding-store, key-value-distributed-store, mysql-compatibility. - You need a unified SQL interface for vector queries on diverse data types ### Choose infinity if… - infinity is primarily C++; dingo is Java. - Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20. - When your application requires rapid hybrid search capabilities across multiple data types including tensors and full texts. ## 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 ## When NOT to use infinity - If your project does not benefit from fast hybrid search features or if you prefer not to use an AI-native database solution. - When support for only dense vectors is sufficient, and the added complexity of supporting tensors and full texts is unnecessary. ## Common questions ### What is the difference between dingo and infinity? dingo: A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data. infinity: AI-native database for LLM applications offering fast hybrid search capabilities.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dingo over infinity? Choose dingo over infinity when dingo is primarily Java; infinity is C++; Tags unique to dingo: embedding-search, embedding-store, key-value-distributed-store, mysql-compatibility; You need a unified SQL interface for vector queries on diverse data types. ### When should I choose infinity over dingo? Choose infinity over dingo when infinity is primarily C++; dingo is Java; Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20; When your application requires rapid hybrid search capabilities across multiple data types including tensors and full texts. ### 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 ### When should I avoid infinity? If your project does not benefit from fast hybrid search features or if you prefer not to use an AI-native database solution. When support for only dense vectors is sufficient, and the added complexity of supporting tensors and full texts is unnecessary. ### Is dingo or infinity more popular on GitHub? infinity has more GitHub stars (4,675 vs 1,701). Stars measure visibility, not whether either tool fits your constraints. ### Are dingo and infinity open source? Yes - both are open-source projects on GitHub (dingo: Apache-2.0, infinity: Apache-2.0). ### Where can I find alternatives to dingo or infinity? GraphCanon lists graph-backed alternatives at [dingo alternatives](/tools/dingodb-dingo/alternatives) and [infinity alternatives](/tools/infiniflow-infinity/alternatives) ([dingo markdown twin](/tools/dingodb-dingo/alternatives.md), [infinity markdown twin](/tools/infiniflow-infinity/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/dingodb-dingo-vs-infiniflow-infinity.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dingo or infinity? dingo: Steady. infinity: 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 dingo and infinity? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dingo trust report](/tools/dingodb-dingo/trust); [infinity trust report](/tools/infiniflow-infinity/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dingodb-dingo`](/api/graphcanon/graph?tool=dingodb-dingo) - 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/_