--- title: "seatunnel vs FastGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-seatunnel-vs-labring-fastgpt" tools: ["apache-seatunnel", "labring-fastgpt"] --- # seatunnel vs FastGPT *GraphCanon updated Aug 22, 2026* ## Verdict Pick seatunnel if seaTunnel is a powerful, Apache-licensed Java tool for seamless and scalable data integration across various modes – batch and streaming. It supports CDC and can be deployed in high-performance environments; pick FastGPT if fastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG. [seatunnel](https://seatunnel.apache.org/) reports 9.6k GitHub stars, 2.4k forks, and 684 open issues, last pushed Aug 21, 2026. [FastGPT](https://fastgpt.io) has 29k stars, 7.3k forks, and 165 open issues, last pushed Aug 16, 2026. Figures are from public GitHub metadata via [seatunnel's repository](https://github.com/apache/seatunnel) and [FastGPT's repository](https://github.com/labring/FastGPT). | | [seatunnel](/tools/apache-seatunnel.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Tagline | SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool. | A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems | | Stars | 9,570 | 29,366 | | Forks | 2,366 | 7,264 | | Open issues | 684 | 165 | | Language | Java | TypeScript | | Adopt for | SeaTunnel is a powerful, Apache-licensed Java tool for seamless and scalable data integration across various modes – batch and streaming. It supports CDC and can be deployed in high-performance environments. | FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Data & Retrieval | AI Agents, Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [seatunnel](/tools/apache-seatunnel.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Open issues (now) | 684 | 165 | | Stars delta | +70 (30d) | +360 (30d) | | Open issues delta | +86 (30d) | +7 (30d) | | Full report | [trust report](/tools/apache-seatunnel/trust.md) | [trust report](/tools/labring-fastgpt/trust.md) | ## Decision facts: seatunnel - **Adopt for:** SeaTunnel is a powerful, Apache-licensed Java tool for seamless and scalable data integration across various modes – batch and streaming. It supports CDC and can be deployed in high-performance environments. ## Decision facts: FastGPT - **Adopt for:** FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable ## Choose when ### Choose seatunnel if… - seatunnel is primarily Java; FastGPT is TypeScript. - License: seatunnel is Apache-2.0, FastGPT is Other. - Tags unique to seatunnel: apache, batch, cdc, change-data-capture. - - When you need to handle both offline (batch) and real-time data processing within the same workflow. ### Choose FastGPT if… - FastGPT is primarily TypeScript; seatunnel is Java. - License: FastGPT is Other, seatunnel is Apache-2.0. - Tags unique to FastGPT: agent, claude, deepseek, llm. - Also covers AI Agents, LLM Frameworks. - You prioritize ease of setup and configuration for advanced AI applications. ## When NOT to use seatunnel - - For projects that do not require the scalability and performance enhancements provided by SeaTunnel; opt for it exclusively when handling large-scale or mission-critical data flows. - - If your project already extensively uses another Apache tool with tightly integrated components, switching to SeaTunnel might introduce unnecessary complexity. ## When NOT to use FastGPT - If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. - When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. - Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models. ## Common questions ### What is the difference between seatunnel and FastGPT? seatunnel: SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.. FastGPT: A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose seatunnel over FastGPT? Choose seatunnel over FastGPT when seatunnel is primarily Java; FastGPT is TypeScript; License: seatunnel is Apache-2.0, FastGPT is Other; Tags unique to seatunnel: apache, batch, cdc, change-data-capture; - When you need to handle both offline (batch) and real-time data processing within the same workflow. ### When should I choose FastGPT over seatunnel? Choose FastGPT over seatunnel when FastGPT is primarily TypeScript; seatunnel is Java; License: FastGPT is Other, seatunnel is Apache-2.0; Tags unique to FastGPT: agent, claude, deepseek, llm; Also covers AI Agents, LLM Frameworks; You prioritize ease of setup and configuration for advanced AI applications. ### When should I avoid seatunnel? - For projects that do not require the scalability and performance enhancements provided by SeaTunnel; opt for it exclusively when handling large-scale or mission-critical data flows. - If your project already extensively uses another Apache tool with tightly integrated components, switching to SeaTunnel might introduce unnecessary complexity. ### When should I avoid FastGPT? If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models. ### Is seatunnel or FastGPT more popular on GitHub? FastGPT has more GitHub stars (29,366 vs 9,570). Stars measure visibility, not whether either tool fits your constraints. ### Are seatunnel and FastGPT open source? Yes - both are open-source projects on GitHub (seatunnel: Apache-2.0, FastGPT: Other). ### Where can I find alternatives to seatunnel or FastGPT? GraphCanon lists graph-backed alternatives at [seatunnel alternatives](/tools/apache-seatunnel/alternatives) and [FastGPT alternatives](/tools/labring-fastgpt/alternatives) ([seatunnel markdown twin](/tools/apache-seatunnel/alternatives.md), [FastGPT markdown twin](/tools/labring-fastgpt/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-seatunnel-vs-labring-fastgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, seatunnel or FastGPT? seatunnel: Very active. FastGPT: 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 seatunnel and FastGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [seatunnel trust report](/tools/apache-seatunnel/trust); [FastGPT trust report](/tools/labring-fastgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-seatunnel`](/api/graphcanon/graph?tool=apache-seatunnel) - 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/_