--- title: "aquila vs lantern" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aquila-network-aquila-vs-lanterndata-lantern" tools: ["aquila-network-aquila", "lanterndata-lantern"] --- # aquila vs lantern *GraphCanon updated Aug 22, 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 lantern if lantern is an extension for PostgreSQL written in Rust, providing capabilities for approximate nearest neighbor search tailored for AI applications. [aquila](https://aquila.network) reports 379 GitHub stars, 26 forks, and 13 open issues, last pushed May 6, 2024. [lantern](https://lantern.dev) has 889 stars, 67 forks, and 42 open issues, last pushed Dec 12, 2024. Figures are from public GitHub metadata via [aquila's repository](https://github.com/Aquila-Network/aquila) and [lantern's repository](https://github.com/lanterndata/lantern). | | [aquila](/tools/aquila-network-aquila.md) | [lantern](/tools/lanterndata-lantern.md) | | --- | --- | --- | | Tagline | Efficient Neural Search Engine | PostgreSQL vector database extension for building AI applications | | Stars | 379 | 889 | | Forks | 26 | 67 | | Open issues | 13 | 42 | | 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. | Lantern is an extension for PostgreSQL written in Rust, providing capabilities for approximate nearest neighbor search tailored for AI applications. | | Persona | - | - | | Runtime | - | - | | License | - | AGPL-3.0, allowing free use and modification but requiring derivative works to be open-sourced as well. | | 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) | [lantern](/tools/lanterndata-lantern.md) | | --- | --- | --- | | Days since push | 817d | 618d | | Open issues (now) | 13 | 42 | | Stars delta | Unknown | 0 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/aquila-network-aquila/trust.md) | [trust report](/tools/lanterndata-lantern/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: lantern - **Adopt for:** Lantern is an extension for PostgreSQL written in Rust, providing capabilities for approximate nearest neighbor search tailored for AI applications. - **License detail:** AGPL-3.0, allowing free use and modification but requiring derivative works to be open-sourced as well. ## Choose when ### Choose aquila if… - aquila is primarily HTML; lantern is Rust. - Tags unique to aquila: embedding, faiss, 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 ### Choose lantern if… - lantern is primarily Rust; aquila is HTML. - Tags unique to lantern: ai, ann, data-science, embeddings. - When you need to perform vector database operations integrated with a PostgreSQL environment ## 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 lantern - Avoid when an open-source license like AGPL-3.0 might interfere with proprietary or closed-source projects - Not suitable if you require direct support for non-vector indexing operations outside ANN capabilities ## Common questions ### What is the difference between aquila and lantern? aquila: Efficient Neural Search Engine. lantern: PostgreSQL vector database extension for building AI applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose aquila over lantern? Choose aquila over lantern when aquila is primarily HTML; lantern is Rust; Tags unique to aquila: embedding, faiss, 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 choose lantern over aquila? Choose lantern over aquila when lantern is primarily Rust; aquila is HTML; Tags unique to lantern: ai, ann, data-science, embeddings; When you need to perform vector database operations integrated with a PostgreSQL environment. ### 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 lantern? Avoid when an open-source license like AGPL-3.0 might interfere with proprietary or closed-source projects Not suitable if you require direct support for non-vector indexing operations outside ANN capabilities ### Is aquila or lantern more popular on GitHub? lantern has more GitHub stars (889 vs 379). Stars measure visibility, not whether either tool fits your constraints. ### Are aquila and lantern open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to aquila or lantern? GraphCanon lists graph-backed alternatives at [aquila alternatives](/tools/aquila-network-aquila/alternatives) and [lantern alternatives](/tools/lanterndata-lantern/alternatives) ([aquila markdown twin](/tools/aquila-network-aquila/alternatives.md), [lantern markdown twin](/tools/lanterndata-lantern/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-lanterndata-lantern.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aquila or lantern? aquila: Dormant. lantern: 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 lantern? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aquila trust report](/tools/aquila-network-aquila/trust); [lantern trust report](/tools/lanterndata-lantern/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/_