--- title: "paradedb vs postgresml" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/paradedb-paradedb-vs-postgresml-postgresml" tools: ["paradedb-paradedb", "postgresml-postgresml"] --- # paradedb vs postgresml *GraphCanon updated Aug 18, 2026* ## Verdict Pick paradedb if paradeDB is an extension to PostgreSQL designed for integrating full-text search, vector retrieval, and aggregation functionalities; pick postgresml if postgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries. [paradedb](https://paradedb.com) reports 9.1k GitHub stars, 424 forks, and 205 open issues, last pushed Aug 2, 2026. [postgresml](https://postgresml.org) has 6.8k stars, 365 forks, and 149 open issues, last pushed Jul 1, 2025. Figures are from public GitHub metadata via [paradedb's repository](https://github.com/paradedb/paradedb) and [postgresml's repository](https://github.com/postgresml/postgresml). | | [paradedb](/tools/paradedb-paradedb.md) | [postgresml](/tools/postgresml-postgresml.md) | | --- | --- | --- | | Tagline | One Postgres for your application data, full-text search, vector retrieval, and aggregations. | Postgres with GPUs for ML/AI apps | | Stars | 9,117 | 6,817 | | Forks | 424 | 365 | | Open issues | 205 | 149 | | Language | Rust | Rust | | Adopt for | ParadeDB is an extension to PostgreSQL designed for integrating full-text search, vector retrieval, and aggregation functionalities. | PostgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [paradedb](/tools/paradedb-paradedb.md) | [postgresml](/tools/postgresml-postgresml.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 412d | | Open issues (now) | 205 | 149 | | Stars delta | Unknown | +3 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/paradedb-paradedb/trust.md) | [trust report](/tools/postgresml-postgresml/trust.md) | ## 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. ## Decision facts: postgresml - **Adopt for:** PostgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries. ## Choose when ### Choose paradedb if… - License: paradedb is AGPL-3.0, postgresml is MIT. - 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). ### Choose postgresml if… - License: postgresml is MIT, paradedb is AGPL-3.0. - Tags unique to postgresml: ai, ann, approximate-nearest-neighbor-search, classification. - Also covers Model Training. - Requires integration of machine learning tasks directly within PostgreSQL queries ## 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. ## When NOT to use postgresml - Teams not utilizing or unwilling to migrate to PostgreSQL databases - Applications where GPU access is limited, thus constraining ML capabilities ## Common questions ### What is the difference between paradedb and postgresml? paradedb: One Postgres for your application data, full-text search, vector retrieval, and aggregations.. postgresml: Postgres with GPUs for ML/AI apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose paradedb over postgresml? Choose paradedb over postgresml when License: paradedb is AGPL-3.0, postgresml is MIT; 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 choose postgresml over paradedb? Choose postgresml over paradedb when License: postgresml is MIT, paradedb is AGPL-3.0; Tags unique to postgresml: ai, ann, approximate-nearest-neighbor-search, classification; Also covers Model Training; Requires integration of machine learning tasks directly within PostgreSQL queries. ### 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. ### When should I avoid postgresml? Teams not utilizing or unwilling to migrate to PostgreSQL databases Applications where GPU access is limited, thus constraining ML capabilities ### Is paradedb or postgresml more popular on GitHub? paradedb has more GitHub stars (9,117 vs 6,817). Stars measure visibility, not whether either tool fits your constraints. ### Are paradedb and postgresml open source? Yes - both are open-source projects on GitHub (paradedb: AGPL-3.0, postgresml: MIT). ### Where can I find alternatives to paradedb or postgresml? GraphCanon lists graph-backed alternatives at [paradedb alternatives](/tools/paradedb-paradedb/alternatives) and [postgresml alternatives](/tools/postgresml-postgresml/alternatives) ([paradedb markdown twin](/tools/paradedb-paradedb/alternatives.md), [postgresml markdown twin](/tools/postgresml-postgresml/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/paradedb-paradedb-vs-postgresml-postgresml.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, paradedb or postgresml? paradedb: Very active. postgresml: 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 paradedb and postgresml? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [paradedb trust report](/tools/paradedb-paradedb/trust); [postgresml trust report](/tools/postgresml-postgresml/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=paradedb-paradedb`](/api/graphcanon/graph?tool=paradedb-paradedb) - 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/_