--- title: "aquila vs paradedb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aquila-network-aquila-vs-paradedb-paradedb" tools: ["aquila-network-aquila", "paradedb-paradedb"] --- # aquila vs paradedb *GraphCanon updated Aug 2, 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 paradedb if paradeDB is an extension to PostgreSQL designed for integrating full-text search, vector retrieval, and aggregation functionalities. [aquila](https://aquila.network) reports 379 GitHub stars, 26 forks, and 13 open issues, last pushed May 6, 2024. [paradedb](https://paradedb.com) has 9.1k stars, 424 forks, and 205 open issues, last pushed Aug 2, 2026. Figures are from public GitHub metadata via [aquila's repository](https://github.com/Aquila-Network/aquila) and [paradedb's repository](https://github.com/paradedb/paradedb). | | [aquila](/tools/aquila-network-aquila.md) | [paradedb](/tools/paradedb-paradedb.md) | | --- | --- | --- | | Tagline | Efficient Neural Search Engine | One Postgres for your application data, full-text search, vector retrieval, and aggregations. | | Stars | 379 | 9,117 | | Forks | 26 | 424 | | Open issues | 13 | 205 | | 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. | ParadeDB is an extension to PostgreSQL designed for integrating full-text search, vector retrieval, and aggregation functionalities. | | Persona | - | - | | Runtime | - | - | | License | - | AGPL-3.0 | | 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) | [paradedb](/tools/paradedb-paradedb.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 817d | 0d | | Open issues (now) | 13 | 205 | | Full report | [trust report](/tools/aquila-network-aquila/trust.md) | [trust report](/tools/paradedb-paradedb/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: paradedb - **Pricing:** freemium - ParadeDB Community is available under AGPL-3.0 for free, but commercial use may require contacting sales for enterprise licensing options. - **Requirements:** Requires Docker - **Adopt for:** ParadeDB is an extension to PostgreSQL designed for integrating full-text search, vector retrieval, and aggregation functionalities. ## Choose when ### Choose aquila if… - aquila is primarily HTML; paradedb is Rust. - 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 paradedb if… - paradedb is primarily Rust; aquila is HTML. - Pricing: ParadeDB Community is available under AGPL-3.0 for free, but commercial use may require contacting sales for enterprise licensing options.. - Requirements: Requires Docker. - Tags unique to paradedb: aggregations, analytics, bm25, database. - Use ParadeDB when you need a unified database solution that supports both transactional operations and analytical processing within the same environment (HTAP). ## 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 paradedb - Avoid using ParadeDB if your project strictly adheres to permissive licensing, as it is under AGPL-3.0 which imposes copyleft obligations. - Do not opt for ParadeDB when you specifically require a standalone full-text search solution like Elasticsearch that offers more specialized features out-of-the-box. - It may not be the best choice if your use case demands real-time processing of extremely high-speed data streams beyond its HTAP capabilities. ## Common questions ### What is the difference between aquila and paradedb? aquila: Efficient Neural Search Engine. paradedb: One Postgres for your application data, full-text search, vector retrieval, and aggregations.. See the comparison table for live GitHub stats and shared categories. ### When should I choose aquila over paradedb? Choose aquila over paradedb when aquila is primarily HTML; paradedb is Rust; 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 paradedb over aquila? Choose paradedb over aquila when paradedb is primarily Rust; aquila is HTML; Pricing: ParadeDB Community is available under AGPL-3.0 for free, but commercial use may require contacting sales for enterprise licensing options.; Requirements: Requires Docker; Tags unique to paradedb: aggregations, analytics, bm25, database; Use ParadeDB when you need a unified database solution that supports both transactional operations and analytical processing within the same environment (HTAP). ### 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 paradedb? Avoid using ParadeDB if your project strictly adheres to permissive licensing, as it is under AGPL-3.0 which imposes copyleft obligations. Do not opt for ParadeDB when you specifically require a standalone full-text search solution like Elasticsearch that offers more specialized features out-of-the-box. It may not be the best choice if your use case demands real-time processing of extremely high-speed data streams beyond its HTAP capabilities. ### Is aquila or paradedb more popular on GitHub? paradedb has more GitHub stars (9,117 vs 379). Stars measure visibility, not whether either tool fits your constraints. ### Are aquila and paradedb open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to aquila or paradedb? GraphCanon lists graph-backed alternatives at [aquila alternatives](/tools/aquila-network-aquila/alternatives) and [paradedb alternatives](/tools/paradedb-paradedb/alternatives) ([aquila markdown twin](/tools/aquila-network-aquila/alternatives.md), [paradedb markdown twin](/tools/paradedb-paradedb/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-paradedb-paradedb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aquila or paradedb? aquila: Dormant. paradedb: 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 paradedb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aquila trust report](/tools/aquila-network-aquila/trust); [paradedb trust report](/tools/paradedb-paradedb/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/_