---
title: "dingo vs llm-app"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/dingodb-dingo-vs-pathwaycom-llm-app"
tools: ["dingodb-dingo", "pathwaycom-llm-app"]
---

# dingo vs llm-app

Neutral, constraint-first comparison with live GitHub stats.

| | [dingo](/tools/dingodb-dingo.md) | [llm-app](/tools/pathwaycom-llm-app.md) |
| --- | --- | --- |
| Tagline | Multi-modal vector database supporting unified SQL access to structured and unstructured data | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. |
| Stars | 1,701 | 59,097 |
| Forks | 264 | 1,431 |
| Open issues | 8 | 10 |
| Language | Java | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Categories | Data & Retrieval, Vector Databases | Data & Retrieval, LLM Frameworks |

---

**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/_