--- title: "aquila vs vespa" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aquila-network-aquila-vs-vespa-engine-vespa" tools: ["aquila-network-aquila", "vespa-engine-vespa"] --- # aquila vs vespa *GraphCanon updated Aug 18, 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 vespa if vespa: A Java-based, scalable AI search platform for real-time vector and general data retrieval. [aquila](https://aquila.network) reports 379 GitHub stars, 26 forks, and 13 open issues, last pushed May 6, 2024. [vespa](https://vespa.ai) has 7.1k stars, 732 forks, and 250 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [aquila's repository](https://github.com/Aquila-Network/aquila) and [vespa's repository](https://github.com/vespa-engine/vespa). | | [aquila](/tools/aquila-network-aquila.md) | [vespa](/tools/vespa-engine-vespa.md) | | --- | --- | --- | | Tagline | Efficient Neural Search Engine | The AI search platform | | Stars | 379 | 7,054 | | Forks | 26 | 732 | | Open issues | 13 | 250 | | Language | HTML | Java | | Adopt for | Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches. | Vespa: A Java-based, scalable AI search platform for real-time vector and general data retrieval. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aquila](/tools/aquila-network-aquila.md) | [vespa](/tools/vespa-engine-vespa.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 817d | 0d | | Open issues (now) | 13 | 250 | | Stars delta | Unknown | +34 (30d) | | Open issues delta | Unknown | +7 (30d) | | Full report | [trust report](/tools/aquila-network-aquila/trust.md) | [trust report](/tools/vespa-engine-vespa/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: vespa - **Adopt for:** Vespa: A Java-based, scalable AI search platform for real-time vector and general data retrieval. ## Choose when ### Choose aquila if… - aquila is primarily HTML; vespa is Java. - Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors. - 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 vespa if… - vespa is primarily Java; aquila is HTML. - Tags unique to vespa: ai, big-data, java, machine-learning. - Real-time indexing is critical ## 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 vespa - Prefer solutions with lower setup complexity - Team lacks Java expertise or prefers alternative languages - Require no real-time capabilities and can rely on batch processing ## Common questions ### What is the difference between aquila and vespa? aquila: Efficient Neural Search Engine. vespa: The AI search platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose aquila over vespa? Choose aquila over vespa when aquila is primarily HTML; vespa is Java; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; 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 vespa over aquila? Choose vespa over aquila when vespa is primarily Java; aquila is HTML; Tags unique to vespa: ai, big-data, java, machine-learning; Real-time indexing is critical. ### 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 vespa? Prefer solutions with lower setup complexity Team lacks Java expertise or prefers alternative languages Require no real-time capabilities and can rely on batch processing ### Is aquila or vespa more popular on GitHub? vespa has more GitHub stars (7,054 vs 379). Stars measure visibility, not whether either tool fits your constraints. ### Are aquila and vespa open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to aquila or vespa? GraphCanon lists graph-backed alternatives at [aquila alternatives](/tools/aquila-network-aquila/alternatives) and [vespa alternatives](/tools/vespa-engine-vespa/alternatives) ([aquila markdown twin](/tools/aquila-network-aquila/alternatives.md), [vespa markdown twin](/tools/vespa-engine-vespa/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-vespa-engine-vespa.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aquila or vespa? aquila: Dormant. vespa: Very 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 aquila and vespa? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aquila trust report](/tools/aquila-network-aquila/trust); [vespa trust report](/tools/vespa-engine-vespa/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/_