--- title: "databerry vs restheart" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gmpetrov-databerry-vs-softinstigate-restheart" tools: ["gmpetrov-databerry", "softinstigate-restheart"] --- # databerry vs restheart *GraphCanon updated Aug 16, 2026* ## Verdict Pick databerry if suitable for users looking to develop custom LLM agents without coding expertise; pick restheart if rESTHeart provides an HTTP RESTful API for MongoDB, suiting needs that require lightweight data retrieval, GraphQL support and WebSocket capabilities. [databerry](https://chaindesk.ai) reports 3.0k GitHub stars, 420 forks, and 166 open issues, last pushed Jun 17, 2024. [restheart](https://restheart.org) has 881 stars, 177 forks, and 20 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [databerry's repository](https://github.com/gmpetrov/databerry) and [restheart's repository](https://github.com/SoftInstigate/restheart). | | [databerry](/tools/gmpetrov-databerry.md) | [restheart](/tools/softinstigate-restheart.md) | | --- | --- | --- | | Tagline | The no-code platform for building custom LLM Agents | The Agent-Ready Backend for MongoDB | | Stars | 2,965 | 881 | | Forks | 420 | 177 | | Open issues | 166 | 20 | | Language | - | Java | | Adopt for | Suitable for users looking to develop custom LLM agents without coding expertise. | RESTHeart provides an HTTP RESTful API for MongoDB, suiting needs that require lightweight data retrieval, GraphQL support and WebSocket capabilities. | | Persona | - | - | | Runtime | - | - | | License | - | AGPL-3.0 | | Categories | AI Agents, Developer Tools | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [databerry](/tools/gmpetrov-databerry.md) | [restheart](/tools/softinstigate-restheart.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 788d | 0d | | Open issues (now) | 166 | 20 | | 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/softinstigate-restheart/trust.md) | ## Decision facts: databerry - **Adopt for:** Suitable for users looking to develop custom LLM agents without coding expertise. ## Decision facts: restheart - **Adopt for:** RESTHeart provides an HTTP RESTful API for MongoDB, suiting needs that require lightweight data retrieval, GraphQL support and WebSocket capabilities. ## Choose when ### Choose databerry if… - Tags unique to databerry: ai, aichatbot, chatbot, llm. - Also covers Developer Tools. - When you have non-technical team members who need to craft and deploy specific AI chatbot functionalities. ### Choose restheart if… - Tags unique to restheart: ai-agents, data-persistence, database, docker. - Also covers Data & Retrieval. - restheart ships Docker support for self-hosted deployment. - When integrating with AI agents that need direct access to MongoDB via a RESTful interface ## 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 restheart - If fine-grained control over database operations beyond simple CRUD is required, as RESTHeart adheres strictly to HTTP methods - When proprietary licensing must be avoided since RESTHeart uses AGPL-3.0, which may affect derivative work distribution ## Common questions ### What is the difference between databerry and restheart? databerry: The no-code platform for building custom LLM Agents. restheart: The Agent-Ready Backend for MongoDB. See the comparison table for live GitHub stats and shared categories. ### When should I choose databerry over restheart? Choose databerry over restheart when Tags unique to databerry: ai, aichatbot, chatbot, llm; Also covers Developer Tools; When you have non-technical team members who need to craft and deploy specific AI chatbot functionalities. ### When should I choose restheart over databerry? Choose restheart over databerry when Tags unique to restheart: ai-agents, data-persistence, database, docker; Also covers Data & Retrieval; restheart ships Docker support for self-hosted deployment; When integrating with AI agents that need direct access to MongoDB via a RESTful interface. ### 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 restheart? If fine-grained control over database operations beyond simple CRUD is required, as RESTHeart adheres strictly to HTTP methods When proprietary licensing must be avoided since RESTHeart uses AGPL-3.0, which may affect derivative work distribution ### Is databerry or restheart more popular on GitHub? databerry has more GitHub stars (2,965 vs 881). Stars measure visibility, not whether either tool fits your constraints. ### Are databerry and restheart open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to databerry or restheart? GraphCanon lists graph-backed alternatives at [databerry alternatives](/tools/gmpetrov-databerry/alternatives) and [restheart alternatives](/tools/softinstigate-restheart/alternatives) ([databerry markdown twin](/tools/gmpetrov-databerry/alternatives.md), [restheart markdown twin](/tools/softinstigate-restheart/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-softinstigate-restheart.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, databerry or restheart? databerry: Dormant. restheart: 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 databerry and restheart? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [databerry trust report](/tools/gmpetrov-databerry/trust); [restheart trust report](/tools/softinstigate-restheart/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/_