# Dust vs Orca-Tool Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Orca-Tool records 299 monthly visits with +149.2% growth and Free pricing. | Metric | [Dust](https://openaitools.app/tool/dust) | [Orca-Tool](https://openaitools.app/tool/orca-tool) | | :--- | :--- | :--- | | Website URL | https://dust.tt | https://orca-tool.com | | Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Diagram Generator, AI Assistant, AI Developer Tools, AI Design Generator | | Pricing Model | Contact for Pricing | Free | | Monthly Visits | 547,217 | 299 | | MoM Growth Rate | +1.8% | +149.2% | | Primary Market | France | Brazil | | Direct Visits | 456,919 | 122 | | Review Score | 4.4 | 4.1 | | Saved Count | 5 | 4 | | Supported Platforms | Website | Website | ## Dust Dust positions itself as 'multiplayer AI' for human-agent collaboration. Rather than giving each employee a private chatbot, it lets teams build agents that have shared access to company knowledge, connected tools, conversations and notifications, so work can move back and forth between people and AI. Agents can be reused across departments, and human review stays part of the loop where it matters. The platform's differentiator is context. According to Dust, most AI tools can retrieve a single Slack message or CRM record, whereas its agents pull context together across Slack, CRM, documents and other company systems to answer with the full picture and then act on it. Over 70 connectors cover messaging, calendars, CRM, file storage, project management, data and finance tools, and agents can reach MCP servers through the same gateway. Governance is a first-class feature. Dust offers a dual-layer permission model that separates what agents can access from who can use them, SCIM-synced groups, admin-gated overrides, audit logs and analytics for monitoring adoption, usage, cost and ROI. It is SOC 2 Type II certified, offers US or EU data residency and supports single-tenant deployment. Teams can build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and others, choosing the right model per workflow. The company says more than 3,000 organizations and 300,000+ agents run on the platform. **Pricing & Plans:** Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. - **Agents with company context:** Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses. - **70+ connectors and MCP support:** Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat. - **Model flexibility:** Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task. - **AI-native governance:** A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast. - **Multiplayer collaboration:** People and agents share context, tools and notifications, so cross-functional workflows run with reusable skills and human review built in. **Strengths:** Deep context gathering across 70+ enterprise connectors; Strong enterprise governance with permissions, audit logs and SOC 2 Type II; Model-agnostic: choose among 20+ frontier and open-source models; Shared, reusable agents that scale across departments **Limitations:** Pricing is sales-led, so costs are hard to estimate before a demo; Setting up connectors and permissions takes real admin work; Best value comes with broad rollout, which is a heavier commitment for small teams [Profile (Markdown)](https://openaitools.app/tool/dust.md) ## Orca-Tool Docker Compose files are powerful but unforgiving: indentation, service names, volumes, and dependency links all have to line up, and a long file quickly becomes hard to reason about. Orca takes the opposite approach and presents the same configuration as a visual map of containers and their connections, which is much easier to review and discuss with someone who does not read YAML fluently. The tool ships with starting points for the stack patterns most teams build first. You can begin from a blank diagram or from a template such as WordPress with MySQL, React with Express and MySQL, Nginx with PHP and MySQL, or a full Elasticsearch stack including Kibana, Logstash, and APM. From there you adjust services, add containers, and reorganise the layout while the file structure follows what you draw. Because it runs in the browser and works on plain Compose definitions, Orca fits well as a planning and teaching aid: it is a quick way to draft a new environment, to explain an existing one during onboarding, or to sanity-check a stack before committing it to a repository. It is positioned as a free tool with no account requirement implied by the product itself. **Pricing & Plans:** Orca-Tool is listed as a free tool. No paid tier or pricing page is published on the site, so there is no cost information to quote beyond its free availability. - **Visual Compose editor:** Represent services and their relationships as a diagram so the shape of a multi-container stack is readable without parsing YAML line by line. - **Ready-made stack templates:** Start from predefined setups including WordPress with MySQL, React with Express and MySQL, Nginx with PHP and MySQL, and an Elasticsearch stack with Kibana, Logstash, and APM. - **Blank canvas for custom stacks:** Begin with an empty diagram when your architecture does not match any template and assemble the services yourself. - **Graphical container orchestration overview:** See how containers, databases, and supporting components fit together before you run them, which helps catch missing links early. - **Browser-based, no install:** Work directly on the web app, which makes it convenient for quick drafts, demos, and explaining setups to teammates. **Strengths:** Makes multi-container architecture legible to people who do not read YAML fluently; Includes templates for the most common self-hosted and app stacks; Runs in the browser with nothing to install; Free to use, with no pricing page suggesting a paywall for core editing **Limitations:** Well suited to planning and documentation rather than heavy production orchestration management; Diagrams can become crowded once a stack grows to many services; Limited published documentation, so some behaviour has to be discovered by trying it [Profile (Markdown)](https://openaitools.app/tool/orca-tool.md) ## Frequently Asked Questions ### How do Dust and Orca-Tool compare in monthly traffic? Dust has 547,217 monthly visits, while Orca-Tool has 299. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Dust has a month-over-month growth rate of +1.8%; Orca-Tool has +149.2%. ### How does pricing compare? Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. Orca-Tool: Free. Orca-Tool is listed as a free tool. No paid tier or pricing page is published on the site, so there is no cost information to quote beyond its free availability. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | Provides a unified connected workspace for team documents and databases, but lacks Dust's advanced multi-source enterprise knowledge indexing. | [.md](https://openaitools.app/tool/t.md) | | 2 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Integrates deeply with CRM ecosystems to automate enterprise workflows, but is tightly bound to the Salesforce software suite. | [.md](https://openaitools.app/tool/salesforce-einstein.md) | | 3 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Offers robust enterprise-wide permission-aware search and knowledge management, but with less focus on custom multi-model agent workflows. | [.md](https://openaitools.app/tool/glean.md) | | 4 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Combines multi-model chat assistants and automated machine learning optimization, but with a heavier focus on data science pipelines. | [.md](https://openaitools.app/tool/abacus-ai.md) | | 5 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.md) | | 6 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) | | 7 | [Eraser](https://openaitools.app/tool/eraser) | 534,396 | -23.6% | Freemium, Paid, Contact for Pricing | AI diagrams and technical design docs built from your code and systems | [.md](https://openaitools.app/tool/eraser.md) | | 8 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at visual no-code web scraping and data automation pipelines, but lacks Dust's dedicated internal knowledge base architecture. | [.md](https://openaitools.app/tool/gumloop.md) | | 9 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and security orchestration, but requires more manual setup for custom AI agents. | [.md](https://openaitools.app/tool/tines.md) | | 10 | [Edraw.AI](https://openaitools.app/tool/edraw-ai) | 216,483 | -10.4% | Freemium, Free Trial, Paid | AI-powered visual collaboration for diagrams, mind maps, and charts | [.md](https://openaitools.app/tool/edraw-ai.md) | --- Source: https://openaitools.app/compare/dust-vs-orca-tool More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)