---
title: "seatunnel vs dify"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/apache-seatunnel-vs-langgenius-dify"
tools: ["apache-seatunnel", "langgenius-dify"]
---

# seatunnel vs dify

*GraphCanon updated Oct 4, 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 dify if dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments.

[seatunnel](https://seatunnel.apache.org/) reports 9.7k GitHub stars, 2.4k forks, and 740 open issues, last pushed Sep 20, 2026. [dify](https://dify.ai) has 156k stars, 25k forks, and 1.1k open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [seatunnel's repository](https://github.com/apache/seatunnel) and [dify's repository](https://github.com/langgenius/dify).

| | [seatunnel](/tools/apache-seatunnel.md) | [dify](/tools/langgenius-dify.md) |
| --- | --- | --- |
| Tagline | SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool. | Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace. |
| Stars | 9,657 | 156,243 |
| Forks | 2,416 | 24,675 |
| Open issues | 740 | 1,103 |
| 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. | Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Other |
| Categories | Data & Retrieval | AI Agents, Data & Retrieval, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [seatunnel](/tools/apache-seatunnel.md) | [dify](/tools/langgenius-dify.md) |
| --- | --- | --- |
| Open issues (now) | 740 | 1.1k |
| Stars delta | +157 (30d) | +4.5k (30d) |
| Open issues delta | +142 (30d) | +172 (30d) |
| Full report | [trust report](/tools/apache-seatunnel/trust.md) | [trust report](/tools/langgenius-dify/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: dify

- **Adopt for:** Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments.

## Choose when

### Choose seatunnel if…

- seatunnel is primarily Java; dify is TypeScript.
- License: seatunnel is Apache-2.0, dify 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 dify if…

- dify is primarily TypeScript; seatunnel is Java.
- License: dify is Other, seatunnel is Apache-2.0.
- Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow.
- Also covers AI Agents, Developer Tools.
- When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.

## 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 dify

- If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool.
- When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites.
- If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.

## Common questions

### What is the difference between seatunnel and dify?

seatunnel: SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.. dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. See the comparison table for live GitHub stats and shared categories.

### When should I choose seatunnel over dify?

Choose seatunnel over dify when seatunnel is primarily Java; dify is TypeScript; License: seatunnel is Apache-2.0, dify 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 dify over seatunnel?

Choose dify over seatunnel when dify is primarily TypeScript; seatunnel is Java; License: dify is Other, seatunnel is Apache-2.0; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers AI Agents, Developer Tools; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.

### 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 dify?

If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.

### Is seatunnel or dify more popular on GitHub?

dify has more GitHub stars (156,243 vs 9,657). Stars measure visibility, not whether either tool fits your constraints.

### Are seatunnel and dify open source?

Yes - both are open-source projects on GitHub (seatunnel: Apache-2.0, dify: Other).

### Where can I find alternatives to seatunnel or dify?

GraphCanon lists graph-backed alternatives at [seatunnel alternatives](/tools/apache-seatunnel/alternatives) and [dify alternatives](/tools/langgenius-dify/alternatives) ([seatunnel markdown twin](/tools/apache-seatunnel/alternatives.md), [dify markdown twin](/tools/langgenius-dify/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-langgenius-dify.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, seatunnel or dify?

seatunnel: Very active. dify: 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 dify?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [seatunnel trust report](/tools/apache-seatunnel/trust); [dify trust report](/tools/langgenius-dify/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/_
