--- title: "electric vs postgresml" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/electric-sql-electric-vs-postgresml-postgresml" tools: ["electric-sql-electric", "postgresml-postgresml"] --- # electric vs postgresml *GraphCanon updated Aug 19, 2026* ## Verdict Pick electric if electric is a platform facilitating data synchronization with Postgres via HTTP API or client integrations, leveraging CRDTs for conflict-free replicated data types; pick postgresml if postgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries. [electric](https://electric.ax) reports 10k GitHub stars, 366 forks, and 254 open issues, last pushed Aug 14, 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 [electric's repository](https://github.com/electric-sql/electric) and [postgresml's repository](https://github.com/postgresml/postgresml). | | [electric](/tools/electric-sql-electric.md) | [postgresml](/tools/postgresml-postgresml.md) | | --- | --- | --- | | Tagline | An agent platform built on sync. | Postgres with GPUs for ML/AI apps | | Stars | 10,327 | 6,817 | | Forks | 366 | 365 | | Open issues | 254 | 149 | | Language | TypeScript | Rust | | Adopt for | Electric is a platform facilitating data synchronization with Postgres via HTTP API or client integrations, leveraging CRDTs for conflict-free replicated data types. | PostgresML offers PostgreSQL with GPU acceleration for ML, distinguishing by its support of embedding operations directly into SQL queries. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, Model Training, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [electric](/tools/electric-sql-electric.md) | [postgresml](/tools/postgresml-postgresml.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 5d | 412d | | Open issues (now) | 254 | 149 | | Stars delta | +53 (30d) | +3 (30d) | | Open issues delta | -4 (30d) | 0 (30d) | | Full report | [trust report](/tools/electric-sql-electric/trust.md) | [trust report](/tools/postgresml-postgresml/trust.md) | ## Decision facts: electric - **Adopt for:** Electric is a platform facilitating data synchronization with Postgres via HTTP API or client integrations, leveraging CRDTs for conflict-free replicated data types. ## 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 electric if… - electric is primarily TypeScript; postgresml is Rust. - License: electric is Apache-2.0, postgresml is MIT. - Tags unique to electric: agent, agents, crdt, crdts. - Also covers AI Agents. - You require conflict-free replication for distributed systems where ensuring consistency and managing concurrent updates are critical. ### Choose postgresml if… - postgresml is primarily Rust; electric is TypeScript. - License: postgresml is MIT, electric is Apache-2.0. - Tags unique to postgresml: ai, ann, approximate-nearest-neighbor-search, classification. - Also covers Model Training, Vector Databases. - Requires integration of machine learning tasks directly within PostgreSQL queries ## When NOT to use electric - If your project does not involve handling concurrent updates across multiple nodes or needs minimal consistency guarantees since Electric's strength lies in its robust synchronization mechanisms. - For scenarios where the primary requirement is rapid data retrieval (read-heavy operations) from a central database without much need for distributed sync capabilities, as Electric might introduce an ## 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 electric and postgresml? electric: An agent platform built on sync.. postgresml: Postgres with GPUs for ML/AI apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose electric over postgresml? Choose electric over postgresml when electric is primarily TypeScript; postgresml is Rust; License: electric is Apache-2.0, postgresml is MIT; Tags unique to electric: agent, agents, crdt, crdts; Also covers AI Agents; You require conflict-free replication for distributed systems where ensuring consistency and managing concurrent updates are critical. ### When should I choose postgresml over electric? Choose postgresml over electric when postgresml is primarily Rust; electric is TypeScript; License: postgresml is MIT, electric is Apache-2.0; Tags unique to postgresml: ai, ann, approximate-nearest-neighbor-search, classification; Also covers Model Training, Vector Databases; Requires integration of machine learning tasks directly within PostgreSQL queries. ### When should I avoid electric? If your project does not involve handling concurrent updates across multiple nodes or needs minimal consistency guarantees since Electric's strength lies in its robust synchronization mechanisms. For scenarios where the primary requirement is rapid data retrieval (read-heavy operations) from a central database without much need for distributed sync capabilities, as Electric might introduce an ### 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 electric or postgresml more popular on GitHub? electric has more GitHub stars (10,327 vs 6,817). Stars measure visibility, not whether either tool fits your constraints. ### Are electric and postgresml open source? Yes - both are open-source projects on GitHub (electric: Apache-2.0, postgresml: MIT). ### Where can I find alternatives to electric or postgresml? GraphCanon lists graph-backed alternatives at [electric alternatives](/tools/electric-sql-electric/alternatives) and [postgresml alternatives](/tools/postgresml-postgresml/alternatives) ([electric markdown twin](/tools/electric-sql-electric/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/electric-sql-electric-vs-postgresml-postgresml.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, electric or postgresml? electric: 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 electric and postgresml? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [electric trust report](/tools/electric-sql-electric/trust); [postgresml trust report](/tools/postgresml-postgresml/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=electric-sql-electric`](/api/graphcanon/graph?tool=electric-sql-electric) - 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/_