# Dify vs Immuta

Dify records 819,691 monthly visits with -15% month-over-month growth and Freemium pricing. Immuta records 24,384 monthly visits with -65.7% growth and Contact for Pricing pricing.

| Metric | [Dify](https://openaitools.app/tool/dify-ai) | [Immuta](https://openaitools.app/tool/immuta) |
| :--- | :--- | :--- |
| Website URL | https://dify.ai | https://www.immuta.com |
| Categories | AI App Builder, AI Agent, AI Workflow, AI API | AI For Data Analytics, AI Productivity Tools, AI For Finance, AI Healthcare |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 819,691 | 24,384 |
| MoM Growth Rate | -15% | -65.7% |
| Primary Market | China | United States |
| Direct Visits | 470,604 | 8,319 |
| Review Score | 4.8 | 4.4 |
| Saved Count | 22 | 0 |
| Supported Platforms | Website | Website |

## Dify

Dify pairs a visual canvas with code-level control so both technical and non-technical teams can assemble AI applications and agents. Workflow Studio turns prompt logic into an inspectable execution graph of building blocks: retrieval, branching, tool calls, human-in-the-loop steps, and model calls. Agent builder lets you create agents by chatting or by configuring them directly, then run them as a standalone app, embed them into a website, or reuse them as a node inside a larger workflow.

A major part of the platform is context engineering. The Knowledge Pipeline lets you define repeatable ingestion flows for files, websites, online documents, and cloud drives, handling extraction, cleaning, chunking, indexing, and retrieval testing before a knowledge base is attached to agents or workflows. The Marketplace supplies model providers, tools, data sources, and MCP integrations that teams can install once and then reuse across many apps as approved plugins.

Dify ships in three deployment shapes: Dify Cloud (fully managed SaaS with workspace, logs, and scaling handled for you), Dify Enterprise (self-hosted or VPC deployment with SSO/SAML, RBAC, audit logs, Helm charts for Kubernetes, and enterprise support), and the open-source Community Edition, a source-available single-command Docker deployment with a large GitHub community. Published apps can be delivered as hosted web apps, API endpoints, embeds, or MCP-compatible tools, with logs, feedback, annotations, latency, and usage analytics to keep improving them after launch.

**Pricing & Plans:** Freemium model with a free cloud sandbox and free trial credits, paid Cloud plans that scale with team size, storage, logs, and usage, and a free open-source Community Edition. Dify Enterprise is quoted per deployment via sales.

- **Workflow Studio:** A visual canvas where retrieval, branching, tool calls, human review, and model steps form a visible, testable execution path you can debug and hand off.
- **Agent Builder:** Create agents through chat or manual configuration, give them skills, tools, and knowledge, then ship them as apps, embeds, or reusable nodes inside workflows.
- **Knowledge Pipeline:** Build repeatable ingestion pipelines for documents, sites, and drives, with extraction, cleaning, chunking, indexing, and retrieval testing before you go live.
- **Plugin Marketplace and MCP:** Install model providers, tools, data sources, and MCP integrations once and reuse approved plugins across every app in the workspace.
- **Flexible Deployment and Observability:** Run on managed Cloud, in your VPC, or self-hosted with Docker, and monitor published apps through logs, annotations, feedback, latency, and usage data.

**Strengths:** Combines a visual builder with code-level extensibility in one product; Three deployment options, including a free self-hosted Community Edition; Strong retrieval and knowledge pipeline tooling for RAG applications; Large plugin marketplace plus MCP support reduces integration work

**Limitations:** Self-hosted deployments require real infrastructure and maintenance effort; Complex multi-step workflows take time to learn and tune; Advanced enterprise governance features sit behind a sales-quoted plan

[Profile (Markdown)](https://openaitools.app/tool/dify-ai.md)

## Immuta

Immuta is an authorization layer that sits between the people and AI agents asking for data and the systems that hold it. Instead of approving access system by system, organizations define a single set of rules that the Immuta policy engine evaluates on every request — returning allow, mask, filter, deny or escalate in under a second. Policies are authored once in plain language and enforced natively inside warehouses, lakehouses, databases, cloud storage, APIs and SaaS applications, so nothing has to be copied and no per-system code has to be maintained.

The problem Immuta addresses is that data access has changed shape. People no longer search for a table and request it; they ask an AI assistant a question, and that assistant may request every table the task might touch. That shift moves request volume from a few per week to thousands per hour, and it turns the question itself into a risk, because an agent does not know which columns are sensitive. Immuta's Agentic Data Access gives humans and agents just-in-time, scoped permissions, records a purpose for each request, and masks sensitive columns such as personal data unless a legitimate exception applies.

The platform is organized into four modules on one engine — policy authoring and enforcement, request workflows and exceptions, agentic data access, and agentic compliance — and customers can adopt one and add the rest. The vendor's customers include banks, pharmaceutical companies, insurers and government agencies that need enforceable, auditable data governance. Because deployments are enterprise-scale and integration-heavy, Immuta is sold through a demo and scoping process rather than self-serve checkout.

**Pricing & Plans:** Contact for pricing. Immuta is sold as an enterprise platform (policy authoring, request workflows, agentic data access and compliance) with pricing quoted after a demo; no public list price.

- **Global policy authoring:** Define access rules in plain language, and Immuta compiles them into native controls inside your data infrastructure.
- **Sub-second decisioning:** The policy engine returns allow, mask, filter, deny or escalate for every request in under a second, at enterprise scale.
- **Request workflows and exceptions:** Route genuine exceptions to data owners with the purpose attached, while routine access resolves on its own.
- **Agentic Data Access:** Give humans and AI agents just-in-time, scoped permissions so assistants only reach the data their task needs.
- **Unified audit and compliance:** Audit, triage and prove compliance across every actor and data system from a unified record of decisions.

**Strengths:** One policy engine enforces access across warehouses, databases, storage, APIs and SaaS; Sub-second decisions keep AI agents and analysts unblocked; Strong audit trail for privacy and regulatory proof; Purpose-aware exception handling keeps humans in charge of genuine edge cases

**Limitations:** Pricing requires a demo and internal packaging decisions; Implementation is enterprise-scale, not a quick self-serve setup; Value comes mainly from organizations with many data systems and strict governance needs

[Profile (Markdown)](https://openaitools.app/tool/immuta.md)

## Frequently Asked Questions

### How do Dify and Immuta compare in monthly traffic?

Dify has 819,691 monthly visits, while Immuta has 24,384. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dify has a month-over-month growth rate of -15%; Immuta has -65.7%.

### How does pricing compare?

Dify: Freemium. Freemium model with a free cloud sandbox and free trial credits, paid Cloud plans that scale with team size, storage, logs, and usage, and a free open-source Community Edition. Dify Enterprise is quoted per deployment via sales. Immuta: Contact for Pricing. Contact for pricing. Immuta is sold as an enterprise platform (policy authoring, request workflows, agentic data access and compliance) with pricing quoted after a demo; no public list price.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | An open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining. | [.md](https://openaitools.app/tool/n8n.md) |
| 2 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 3 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | A self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration. | [.md](https://openaitools.app/tool/open-webui.md) |
| 4 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Provides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases. | [.md](https://openaitools.app/tool/llamaindex.md) |
| 5 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | An open-source automation platform combining visual flows with AI steps, though geared more towards general app integration. | [.md](https://openaitools.app/tool/activepieces.md) |
| 6 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines. | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 7 | [FlowHunt](https://openaitools.app/tool/flowhunt-io) | 186,190 | 0% | Free Trial, Paid | Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code. | [.md](https://openaitools.app/tool/flowhunt-io.md) |
| 8 | [Coze](https://openaitools.app/tool/coze) | 177,539 | -33.3% | Freemium | Provides an all-in-one visual workspace for building custom AI agents and publishing them to messaging platforms. | [.md](https://openaitools.app/tool/coze.md) |
| 9 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | An open-source AI workspace providing visual workflow builders for designing and governing agent systems. | [.md](https://openaitools.app/tool/sim-ai.md) |
| 10 | [Windward Maritime AI](https://openaitools.app/tool/windward-ai) | 128,777 | -38% | Contact for Pricing | All-source maritime intelligence powered by Maritime AI™ | [.md](https://openaitools.app/tool/windward-ai.md) |

---
Source: https://openaitools.app/compare/dify-ai-vs-immuta

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)