--- title: "doris vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-doris-vs-mintplex-labs-anything-llm" tools: ["apache-doris", "mintplex-labs-anything-llm"] --- # doris vs anything-llm *GraphCanon updated Aug 19, 2026* ## Verdict Pick doris if apache Doris is a real-time analytics and hybrid search database focused on enhancing AI agents through detailed observability and high-performance big data querying; pick anything-llm if self-hosted AI agent experience with robust deployment scripts across multiple environments. [doris](https://doris.apache.org) reports 16k GitHub stars, 3.9k forks, and 1.3k open issues, last pushed Aug 19, 2026. [anything-llm](https://anythingllm.com) has 65k stars, 7.1k forks, and 319 open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [doris's repository](https://github.com/apache/doris) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [doris](/tools/apache-doris.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Real-time analytics and hybrid search database for AI agents | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 15,796 | 64,716 | | Forks | 3,913 | 7,132 | | Open issues | 1,257 | 319 | | Language | C++ | JavaScript | | Adopt for | Apache Doris is a real-time analytics and hybrid search database focused on enhancing AI agents through detailed observability and high-performance big data querying. | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [doris](/tools/apache-doris.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 1.3k | 319 | | Stars delta | +164 (30d) | +1.4k (30d) | | Open issues delta | +150 (30d) | +2 (30d) | | Full report | [trust report](/tools/apache-doris/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: doris - **Adopt for:** Apache Doris is a real-time analytics and hybrid search database focused on enhancing AI agents through detailed observability and high-performance big data querying. ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Choose when ### Choose doris if… - doris is primarily C++; anything-llm is JavaScript. - License: doris is Apache-2.0, anything-llm is MIT. - Tags unique to doris: agent, ai, bigquery, database. - Also covers Evaluation & Observability. - When you need a system that offers both real-time analytics capabilities and robust search features specifically designed for AI systems, enabling immediate responses to dynamic data changes. ### Choose anything-llm if… - anything-llm is primarily JavaScript; doris is C++. - License: anything-llm is MIT, doris is Apache-2.0. - Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm. - Also covers Inference & Serving. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ## When NOT to use doris - If there are strict compliance requirements around third-party dependencies that might not align with the Apache 2.0 License, considering disabling certain features in Doris can be a workaround but is - When an open-source database solution without real-time analytics and hybrid search capabilities meets your needs more efficiently or cost-effectively; Doris's niche focus may result in unnecessary b - If you require immediate compliance with all third-party license requirements without the potential need for feature tweaking, as some components of Apache Doris might necessitate disabling certain of ## When NOT to use anything-llm - Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. - Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ## Common questions ### What is the difference between doris and anything-llm? doris: Real-time analytics and hybrid search database for AI agents. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories. ### When should I choose doris over anything-llm? Choose doris over anything-llm when doris is primarily C++; anything-llm is JavaScript; License: doris is Apache-2.0, anything-llm is MIT; Tags unique to doris: agent, ai, bigquery, database; Also covers Evaluation & Observability; When you need a system that offers both real-time analytics capabilities and robust search features specifically designed for AI systems, enabling immediate responses to dynamic data changes. ### When should I choose anything-llm over doris? Choose anything-llm over doris when anything-llm is primarily JavaScript; doris is C++; License: anything-llm is MIT, doris is Apache-2.0; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I avoid doris? If there are strict compliance requirements around third-party dependencies that might not align with the Apache 2.0 License, considering disabling certain features in Doris can be a workaround but is When an open-source database solution without real-time analytics and hybrid search capabilities meets your needs more efficiently or cost-effectively; Doris's niche focus may result in unnecessary b If you require immediate compliance with all third-party license requirements without the potential need for feature tweaking, as some components of Apache Doris might necessitate disabling certain of ### When should I avoid anything-llm? Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ### Is doris or anything-llm more popular on GitHub? anything-llm has more GitHub stars (64,716 vs 15,796). Stars measure visibility, not whether either tool fits your constraints. ### Are doris and anything-llm open source? Yes - both are open-source projects on GitHub (doris: Apache-2.0, anything-llm: MIT). ### Where can I find alternatives to doris or anything-llm? GraphCanon lists graph-backed alternatives at [doris alternatives](/tools/apache-doris/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([doris markdown twin](/tools/apache-doris/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/apache-doris-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, doris or anything-llm? doris: Very active. anything-llm: 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 doris and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [doris trust report](/tools/apache-doris/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-doris`](/api/graphcanon/graph?tool=apache-doris) - 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/_