--- title: "aquila vs voy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aquila-network-aquila-vs-tantaraio-voy" tools: ["aquila-network-aquila", "tantaraio-voy"] --- # aquila vs voy *GraphCanon updated Aug 23, 2026* ## Verdict Pick aquila if aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches; pick voy if voy specializes in Webassembly-based vector similarity searches, coded in Rust, with support for k-d-trees and nearest-neighbor searching. [aquila](https://aquila.network) reports 379 GitHub stars, 26 forks, and 13 open issues, last pushed May 6, 2024. [voy](https://www.npmjs.com/package/voy-search) has 1.1k stars, 41 forks, and 22 open issues, last pushed Sep 20, 2023. Figures are from public GitHub metadata via [aquila's repository](https://github.com/Aquila-Network/aquila) and [voy's repository](https://github.com/tantaraio/voy). | | [aquila](/tools/aquila-network-aquila.md) | [voy](/tools/tantaraio-voy.md) | | --- | --- | --- | | Tagline | Efficient Neural Search Engine | A WASM vector similarity search written in Rust | | Stars | 379 | 1,069 | | Forks | 26 | 41 | | Open issues | 13 | 22 | | Language | HTML | Rust | | Adopt for | Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. | Voy specializes in Webassembly-based vector similarity searches, coded in Rust, with support for k-d-trees and nearest-neighbor searching. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aquila](/tools/aquila-network-aquila.md) | [voy](/tools/tantaraio-voy.md) | | --- | --- | --- | | Days since push | 817d | 1067d | | Open issues (now) | 13 | 22 | | Stars delta | Unknown | +4 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/aquila-network-aquila/trust.md) | [trust report](/tools/tantaraio-voy/trust.md) | ## Decision facts: aquila - **Adopt for:** Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. ## Decision facts: voy - **Adopt for:** Voy specializes in Webassembly-based vector similarity searches, coded in Rust, with support for k-d-trees and nearest-neighbor searching. ## Choose when ### Choose aquila if… - aquila is primarily HTML; voy is Rust. - Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors. - Also covers Data & Retrieval. - When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary ### Choose voy if… - voy is primarily Rust; aquila is HTML. - Tags unique to voy: k-d-tree, rust, similarity-search, vector-search. - When you require a Rust implementation of WebAssembly for embedding in web applications or for secure sandboxed execution on the server-side. ## When NOT to use aquila - If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration - In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide ## When NOT to use voy - If high availability and extensive fault tolerance features are required, as Voy focuses primarily on vector similarity searches rather than system-wide reliability enhancements. - When your project demands integration with existing large-scale SQL database systems, since Voy is specialized for a specific type of search operation. ## Common questions ### What is the difference between aquila and voy? aquila: Efficient Neural Search Engine. voy: A WASM vector similarity search written in Rust. See the comparison table for live GitHub stats and shared categories. ### When should I choose aquila over voy? Choose aquila over voy when aquila is primarily HTML; voy is Rust; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; Also covers Data & Retrieval; When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary. ### When should I choose voy over aquila? Choose voy over aquila when voy is primarily Rust; aquila is HTML; Tags unique to voy: k-d-tree, rust, similarity-search, vector-search; When you require a Rust implementation of WebAssembly for embedding in web applications or for secure sandboxed execution on the server-side. ### When should I avoid aquila? If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide ### When should I avoid voy? If high availability and extensive fault tolerance features are required, as Voy focuses primarily on vector similarity searches rather than system-wide reliability enhancements. When your project demands integration with existing large-scale SQL database systems, since Voy is specialized for a specific type of search operation. ### Is aquila or voy more popular on GitHub? voy has more GitHub stars (1,069 vs 379). Stars measure visibility, not whether either tool fits your constraints. ### Are aquila and voy open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to aquila or voy? GraphCanon lists graph-backed alternatives at [aquila alternatives](/tools/aquila-network-aquila/alternatives) and [voy alternatives](/tools/tantaraio-voy/alternatives) ([aquila markdown twin](/tools/aquila-network-aquila/alternatives.md), [voy markdown twin](/tools/tantaraio-voy/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/aquila-network-aquila-vs-tantaraio-voy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aquila or voy? aquila: Dormant. voy: Dormant. 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 aquila and voy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aquila trust report](/tools/aquila-network-aquila/trust); [voy trust report](/tools/tantaraio-voy/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aquila-network-aquila`](/api/graphcanon/graph?tool=aquila-network-aquila) - 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/_