--- title: "zvec vs aquila" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaba-zvec-vs-aquila-network-aquila" tools: ["alibaba-zvec", "aquila-network-aquila"] --- # zvec vs aquila *GraphCanon updated Aug 18, 2026* ## Verdict Pick zvec if zvec is a highly performant, in-process vector database with support across multiple languages; pick aquila if aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. [zvec](https://zvec.org) reports 15k GitHub stars, 977 forks, and 62 open issues, last pushed Aug 17, 2026. [aquila](https://aquila.network) has 379 stars, 26 forks, and 13 open issues, last pushed May 6, 2024. Figures are from public GitHub metadata via [zvec's repository](https://github.com/alibaba/zvec) and [aquila's repository](https://github.com/Aquila-Network/aquila). | | [zvec](/tools/alibaba-zvec.md) | [aquila](/tools/aquila-network-aquila.md) | | --- | --- | --- | | Tagline | A lightweight, lightning-fast, in-process vector database | Efficient Neural Search Engine | | Stars | 15,455 | 379 | | Forks | 977 | 26 | | Open issues | 62 | 13 | | Language | C++ | HTML | | Adopt for | zvec is a highly performant, in-process vector database with support across multiple languages. | Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [zvec](/tools/alibaba-zvec.md) | [aquila](/tools/aquila-network-aquila.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 817d | | Open issues (now) | 62 | 13 | | Stars delta | +361 (30d) | Unknown | | Open issues delta | -5 (30d) | Unknown | | Full report | [trust report](/tools/alibaba-zvec/trust.md) | [trust report](/tools/aquila-network-aquila/trust.md) | ## Decision facts: zvec - **Pricing:** freemium - Open-source under Apache-2.0 license; free to use and modify for personal or commercial purposes. - **Requirements:** Min 1 GB RAM; Minimum RAM requirement corresponds to recommended system resources for optimal performance without overburdening the host environment. - **Adopt for:** zvec is a highly performant, in-process vector database with support across multiple languages. ## 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. ## Choose when ### Choose zvec if… - zvec is primarily C++; aquila is HTML. - Pricing: Open-source under Apache-2.0 license; free to use and modify for personal or commercial purposes.. - Requirements: Min 1 GB RAM; Minimum RAM requirement corresponds to recommended system resources for optimal performance without overburdening the host environment.. - Tags unique to zvec: agent-skills, db, embedded, hnsw. - Ideal for applications that require ultra-fast searching capabilities within an embedded solution. ### Choose aquila if… - aquila is primarily HTML; zvec is C++. - Tags unique to aquila: approximate-nearest-neighbor-search, embedding, feature-vectors, image-search. - 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 NOT to use zvec - Not recommended if your project requires Python versions outside of 3.10-3.14 for its Python SDK. - If you need a distributed vector database that operates across multiple nodes or services, zvec’s in-process and embedded nature may be restrictive. - Consider alternatives if Zvec's current language support (Python, Node.js, Go, Rust, Dart/Flutter) does not align with the languages used in your project. ## 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 ## Common questions ### What is the difference between zvec and aquila? zvec: A lightweight, lightning-fast, in-process vector database. aquila: Efficient Neural Search Engine. See the comparison table for live GitHub stats and shared categories. ### When should I choose zvec over aquila? Choose zvec over aquila when zvec is primarily C++; aquila is HTML; Pricing: Open-source under Apache-2.0 license; free to use and modify for personal or commercial purposes.; Requirements: Min 1 GB RAM; Minimum RAM requirement corresponds to recommended system resources for optimal performance without overburdening the host environment.; Tags unique to zvec: agent-skills, db, embedded, hnsw; Ideal for applications that require ultra-fast searching capabilities within an embedded solution. ### When should I choose aquila over zvec? Choose aquila over zvec when aquila is primarily HTML; zvec is C++; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, feature-vectors, image-search; 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 avoid zvec? Not recommended if your project requires Python versions outside of 3.10-3.14 for its Python SDK. If you need a distributed vector database that operates across multiple nodes or services, zvec’s in-process and embedded nature may be restrictive. Consider alternatives if Zvec's current language support (Python, Node.js, Go, Rust, Dart/Flutter) does not align with the languages used in your project. ### 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 ### Is zvec or aquila more popular on GitHub? zvec has more GitHub stars (15,455 vs 379). Stars measure visibility, not whether either tool fits your constraints. ### Are zvec and aquila open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to zvec or aquila? GraphCanon lists graph-backed alternatives at [zvec alternatives](/tools/alibaba-zvec/alternatives) and [aquila alternatives](/tools/aquila-network-aquila/alternatives) ([zvec markdown twin](/tools/alibaba-zvec/alternatives.md), [aquila markdown twin](/tools/aquila-network-aquila/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/alibaba-zvec-vs-aquila-network-aquila.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, zvec or aquila? zvec: Very active. aquila: 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 zvec and aquila? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [zvec trust report](/tools/alibaba-zvec/trust); [aquila trust report](/tools/aquila-network-aquila/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alibaba-zvec`](/api/graphcanon/graph?tool=alibaba-zvec) - 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/_