---
title: "infinity vs rushdb"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/infiniflow-infinity-vs-rush-db-rushdb"
tools: ["infiniflow-infinity", "rush-db-rushdb"]
---

# infinity vs rushdb

*GraphCanon updated Oct 4, 2026*

## Verdict

Pick infinity if infiniflow/infinity is an AI-native database for LLM applications, offering fast hybrid search capabilities for dense vector, sparse vector, tensor, and full-text data; pick rushdb if rushDB is a graph plus vector database for AI agents running code in TypeScript, needing no schema or migrations but leveraging Neo4j underneath.

[infinity](https://infiniflow.org) reports 4.7k GitHub stars, 445 forks, and 129 open issues, last pushed Sep 9, 2026. [rushdb](https://rushdb.com) has 323 stars, 26 forks, and 20 open issues, last pushed Aug 31, 2026. Figures are from public GitHub metadata via [infinity's repository](https://github.com/infiniflow/infinity) and [rushdb's repository](https://github.com/rush-db/rushdb).

| | [infinity](/tools/infiniflow-infinity.md) | [rushdb](/tools/rush-db-rushdb.md) |
| --- | --- | --- |
| Tagline | AI-native database for LLM applications with fast hybrid search capabilities | Graph and vector database for AI agents with zero schema required |
| Stars | 4,709 | 323 |
| Forks | 445 | 26 |
| Open issues | 129 | 20 |
| Language | C++ | TypeScript |
| Adopt for | Infiniflow/infinity is an AI-native database for LLM applications, offering fast hybrid search capabilities for dense vector, sparse vector, tensor, and full-text data. | RushDB is a graph plus vector database for AI agents running code in TypeScript, needing no schema or migrations but leveraging Neo4j underneath. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | - |
| Categories | Data & Retrieval, Vector Databases | AI Agents, Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [infinity](/tools/infiniflow-infinity.md) | [rushdb](/tools/rush-db-rushdb.md) |
| --- | --- | --- |
| Days since push | 8d | 19d |
| Open issues (now) | 129 | 20 |
| Stars delta | +85 (30d) | +4 (30d) |
| Open issues delta | +63 (30d) | +2 (30d) |
| Full report | [trust report](/tools/infiniflow-infinity/trust.md) | [trust report](/tools/rush-db-rushdb/trust.md) |

## Decision facts: infinity

- **Pricing:** freemium - The software is free and open-source under the Apache-2.0 license, but users may incur costs related to hosting and running Docker containers.
- **Requirements:** Min 4 GB RAM; Requires Docker; Requires Docker for deployment, with specific setup instructions for Linux, MacOS, and Windows with WSL2.
- **Adopt for:** Infiniflow/infinity is an AI-native database for LLM applications, offering fast hybrid search capabilities for dense vector, sparse vector, tensor, and full-text data.
- **License detail:** Apache-2.0

## Decision facts: rushdb

- **Adopt for:** RushDB is a graph plus vector database for AI agents running code in TypeScript, needing no schema or migrations but leveraging Neo4j underneath.

## Choose when

### Choose infinity if…

- infinity is primarily C++; rushdb is TypeScript.
- Pricing: The software is free and open-source under the Apache-2.0 license, but users may incur costs related to hosting and running Docker containers..
- Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment, with specific setup instructions for Linux, MacOS, and Windows with WSL2..
- Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20.
- Also covers Data & Retrieval.
- When you need a database that supports fast hybrid search for dense vector, sparse vector, tensor, and full-text data, specifically tailored for LLM applications.

### Choose rushdb if…

- rushdb is primarily TypeScript; infinity is C++.
- Tags unique to rushdb: ai-agents, embeddings, graph-database, neo4j.
- Also covers AI Agents.
- You require a memory layer for your AI agent that integrates seamlessly with TypeScript-based applications

## When NOT to use infinity

- Avoid using Infinity if your project is constrained by the requirement to use a language other than C++ for database operations, as Infinity is primarily developed in C++.
- Do not use Infinity if your deployment environment does not support Docker or if you are working in a Windows environment without WSL2, as the setup instructions are specific to Docker and Linux/MacOS

## When NOT to use rushdb

- If you need full control over database schema migrations, as RushDB intentionally does not support this
- For environments where the use of Neo4j underlying technology is restricted or not preferred

## Common questions

### What is the difference between infinity and rushdb?

infinity: AI-native database for LLM applications with fast hybrid search capabilities. rushdb: Graph and vector database for AI agents with zero schema required. See the comparison table for live GitHub stats and shared categories.

### When should I choose infinity over rushdb?

Choose infinity over rushdb when infinity is primarily C++; rushdb is TypeScript; Pricing: The software is free and open-source under the Apache-2.0 license, but users may incur costs related to hosting and running Docker containers.; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment, with specific setup instructions for Linux, MacOS, and Windows with WSL2.; Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20; Also covers Data & Retrieval; When you need a database that supports fast hybrid search for dense vector, sparse vector, tensor, and full-text data, specifically tailored for LLM applications.

### When should I choose rushdb over infinity?

Choose rushdb over infinity when rushdb is primarily TypeScript; infinity is C++; Tags unique to rushdb: ai-agents, embeddings, graph-database, neo4j; Also covers AI Agents; You require a memory layer for your AI agent that integrates seamlessly with TypeScript-based applications.

### When should I avoid infinity?

Avoid using Infinity if your project is constrained by the requirement to use a language other than C++ for database operations, as Infinity is primarily developed in C++. Do not use Infinity if your deployment environment does not support Docker or if you are working in a Windows environment without WSL2, as the setup instructions are specific to Docker and Linux/MacOS

### When should I avoid rushdb?

If you need full control over database schema migrations, as RushDB intentionally does not support this For environments where the use of Neo4j underlying technology is restricted or not preferred

### Is infinity or rushdb more popular on GitHub?

infinity has more GitHub stars (4,709 vs 323). Stars measure visibility, not whether either tool fits your constraints.

### Are infinity and rushdb open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to infinity or rushdb?

GraphCanon lists graph-backed alternatives at [infinity alternatives](/tools/infiniflow-infinity/alternatives) and [rushdb alternatives](/tools/rush-db-rushdb/alternatives) ([infinity markdown twin](/tools/infiniflow-infinity/alternatives.md), [rushdb markdown twin](/tools/rush-db-rushdb/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/infiniflow-infinity-vs-rush-db-rushdb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, infinity or rushdb?

infinity: Active. rushdb: 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 infinity and rushdb?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [infinity trust report](/tools/infiniflow-infinity/trust); [rushdb trust report](/tools/rush-db-rushdb/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=infiniflow-infinity`](/api/graphcanon/graph?tool=infiniflow-infinity)
- 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/_