Comparison
infinity vs rushdb
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.
Markdown twin · infinity alternatives · rushdb alternatives
GraphCanon updated Oct 4, 2026
8views this month
Trust & integrity
| Signal | infinity | rushdb |
|---|---|---|
| Maintenance | Active (8d since push) As of Sep 18, 2026 · github_public_v1 | Active (19d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Oct 4, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- infinity
- AI-native database for LLM applications with fast hybrid search capabilities
- rushdb
- Graph and vector database for AI agents with zero schema required
Stars
- infinity
- 4.7k
- rushdb
- 323
Forks
- infinity
- 445
- rushdb
- 26
Open issues
- infinity
- 129
- rushdb
- 20
Language
- infinity
- C++
- rushdb
- TypeScript
Adopt for
- infinity
- 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
- RushDB is a graph plus vector database for AI agents running code in TypeScript, needing no schema or migrations but leveraging Neo4j underneath.
Persona
- infinity
- -
- rushdb
- -
Runtime
- infinity
- -
- rushdb
- -
License
- infinity
- Apache-2.0
- rushdb
- -
Last pushed
- infinity
- Sep 9, 2026
- rushdb
- Aug 31, 2026
Categories
- infinity
- Data & Retrieval, Vector Databases
- rushdb
- AI Agents, Vector Databases
Trust and health
Days since push
- infinity
- 8d
- rushdb
- 19d
Open issues (now)
- infinity
- 129
- rushdb
- 20
Stars delta
- infinity
- +85 (30d)
- rushdb
- +4 (30d)
Open issues delta
- infinity
- +63 (30d)
- rushdb
- +2 (30d)
Full report
- infinity
- Trust report
- rushdb
- Trust report
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.
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
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (infiniflow/infinity) · observed Sep 20, 2026
- GitHub forks (infiniflow/infinity) · observed Sep 20, 2026
- Last push (infiniflow/infinity) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (rush-db/rushdb) · observed Sep 20, 2026
- GitHub forks (rush-db/rushdb) · observed Sep 20, 2026
- Last push (rush-db/rushdb) · observed Aug 31, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Oct 4, 2026
GitHub stars on cards: infinity 4.7k · rushdb 323 (synced Sep 20, 2026).
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 and rushdb alternatives (infinity markdown twin, rushdb markdown twin), 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 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; rushdb trust report.