--- title: "databerry vs grafbase" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gmpetrov-databerry-vs-grafbase-grafbase" tools: ["gmpetrov-databerry", "grafbase-grafbase"] --- # databerry vs grafbase *GraphCanon updated Aug 15, 2026* ## Verdict Pick databerry if suitable for users looking to develop custom LLM agents without coding expertise; pick grafbase if grafbase, an enterprise-grade GraphQL Federation Gateway in Rust and WebAssembly for integrating AI models via API. [databerry](https://chaindesk.ai) reports 3.0k GitHub stars, 420 forks, and 166 open issues, last pushed Jun 17, 2024. [grafbase](https://the-guild.dev/graphql/hive/blog/acquired-grafbase) has 1.2k stars, 71 forks, and 13 open issues, last pushed Jul 1, 2026. Figures are from public GitHub metadata via [databerry's repository](https://github.com/gmpetrov/databerry) and [grafbase's repository](https://github.com/grafbase/grafbase). | | [databerry](/tools/gmpetrov-databerry.md) | [grafbase](/tools/grafbase-grafbase.md) | | --- | --- | --- | | Tagline | The no-code platform for building custom LLM Agents | GraphQL Federation Gateway for AI APIs in Rust and WebAssembly | | Stars | 2,965 | 1,230 | | Forks | 420 | 71 | | Open issues | 166 | 13 | | Language | - | Rust | | Adopt for | Suitable for users looking to develop custom LLM agents without coding expertise. | Grafbase, an enterprise-grade GraphQL Federation Gateway in Rust and WebAssembly for integrating AI models via API. | | Persona | - | - | | Runtime | - | - | | License | - | MPL-2.0 | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [databerry](/tools/gmpetrov-databerry.md) | [grafbase](/tools/grafbase-grafbase.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 788d | 25d | | Open issues (now) | 166 | 13 | | Stars delta | +4 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/gmpetrov-databerry/trust.md) | [trust report](/tools/grafbase-grafbase/trust.md) | ## Decision facts: databerry - **Adopt for:** Suitable for users looking to develop custom LLM agents without coding expertise. ## Decision facts: grafbase - **Hosting:** self hosted - Grafbase operates as a self-hosted solution, giving users full control over their GraphQL gateway and associated services. - **Adopt for:** Grafbase, an enterprise-grade GraphQL Federation Gateway in Rust and WebAssembly for integrating AI models via API. ## Choose when ### Choose databerry if… - Tags unique to databerry: aichatbot, chatbot, llm, no-code. - Also covers AI Agents. - When you have non-technical team members who need to craft and deploy specific AI chatbot functionalities. ### Choose grafbase if… - Grafbase operates as a self-hosted solution, giving users full control over their GraphQL gateway and associated services. - Tags unique to grafbase: api, graphql, rust, webassembly. - You require an enterprise-level GraphQL gateway with support for Rust and WebAssembly to integrate advanced AI APIs. ## When NOT to use databerry - If you are a seasoned developer looking for customizable control over agent functions beyond no-code capabilities. - In scenarios requiring integration with complex, non-standard APIs or systems that cannot be managed on a no-code platform. ## When NOT to use grafbase - You do not require advanced federation capabilities or specific use of Rust and WebAssembly in your GraphQL implementation. - If your project has limited scalability needs and can suffice with simpler, monolithic GraphQL service solutions. - When seeking a platform with broader language support rather than focusing primarily on Rust and WebAssembly. ## Common questions ### What is the difference between databerry and grafbase? databerry: The no-code platform for building custom LLM Agents. grafbase: GraphQL Federation Gateway for AI APIs in Rust and WebAssembly. See the comparison table for live GitHub stats and shared categories. ### When should I choose databerry over grafbase? Choose databerry over grafbase when Tags unique to databerry: aichatbot, chatbot, llm, no-code; Also covers AI Agents; When you have non-technical team members who need to craft and deploy specific AI chatbot functionalities. ### When should I choose grafbase over databerry? Choose grafbase over databerry when Grafbase operates as a self-hosted solution, giving users full control over their GraphQL gateway and associated services; Tags unique to grafbase: api, graphql, rust, webassembly; You require an enterprise-level GraphQL gateway with support for Rust and WebAssembly to integrate advanced AI APIs. ### When should I avoid databerry? If you are a seasoned developer looking for customizable control over agent functions beyond no-code capabilities. In scenarios requiring integration with complex, non-standard APIs or systems that cannot be managed on a no-code platform. ### When should I avoid grafbase? You do not require advanced federation capabilities or specific use of Rust and WebAssembly in your GraphQL implementation. If your project has limited scalability needs and can suffice with simpler, monolithic GraphQL service solutions. When seeking a platform with broader language support rather than focusing primarily on Rust and WebAssembly. ### Is databerry or grafbase more popular on GitHub? databerry has more GitHub stars (2,965 vs 1,230). Stars measure visibility, not whether either tool fits your constraints. ### Are databerry and grafbase open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to databerry or grafbase? GraphCanon lists graph-backed alternatives at [databerry alternatives](/tools/gmpetrov-databerry/alternatives) and [grafbase alternatives](/tools/grafbase-grafbase/alternatives) ([databerry markdown twin](/tools/gmpetrov-databerry/alternatives.md), [grafbase markdown twin](/tools/grafbase-grafbase/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/gmpetrov-databerry-vs-grafbase-grafbase.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, databerry or grafbase? databerry: Dormant. grafbase: 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 databerry and grafbase? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [databerry trust report](/tools/gmpetrov-databerry/trust); [grafbase trust report](/tools/grafbase-grafbase/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=gmpetrov-databerry`](/api/graphcanon/graph?tool=gmpetrov-databerry) - 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/_