# Dust vs Postgres Sandbox Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Postgres Sandbox records 445 monthly visits with -17.3% growth and Free pricing. | Metric | [Dust](https://openaitools.app/tool/dust) | [Postgres Sandbox](https://openaitools.app/tool/postgres-sandbox) | | :--- | :--- | :--- | | Website URL | https://dust.tt | https://postgres.new | | Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Developer Tools, AI Assistant, AI Code Assistant | | Pricing Model | Contact for Pricing | Free | | Monthly Visits | 547,217 | 445 | | MoM Growth Rate | +1.8% | -17.3% | | Primary Market | France | Argentina | | Direct Visits | 456,919 | 183 | | Review Score | 4.4 | 4.5 | | Saved Count | 5 | 0 | | 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) ## Postgres Sandbox Postgres Sandbox, available at postgres.new, takes an idea that sounds unlikely and makes it work: a real PostgreSQL database running entirely inside your browser. It is built on PGlite, a full build of PostgreSQL compiled to WebAssembly, so there is nothing to install and no server to configure. The moment you start writing SQL, a new database is created for you automatically. Around that core it adds a set of tools for getting things done quickly. An AI assistant helps turn natural-language requests into SQL and to reason about queries, which is valuable when you are sketching a schema or exploring unfamiliar data. You can import CSV files and query them immediately, generate charts from results, and draw ER diagrams to see how tables relate. Because the engine is genuine Postgres, the SQL semantics match what you would get on a real server, which makes the sandbox a natural place to prototype schemas, test a tricky query, teach SQL, or experiment with semantic search and RAG-style retrieval. It is best understood as a fast, disposable workspace rather than persistent production infrastructure — data lives in the browser rather than on a managed database. **Pricing & Plans:** Free. Postgres Sandbox runs in the browser at no cost — there is no install, no account requirement mentioned and no paid tier advertised. Just open the page and a PostgreSQL database is created as you start writing SQL. - **Instant in-browser Postgres:** A new PostgreSQL database is created automatically in your browser via PGlite — no server, no installation, no configuration. - **AI SQL generation:** An AI assistant helps generate and reason about SQL from natural-language prompts, lowering the barrier for schema and query work. - **CSV import:** Load CSV data and start querying it directly, which makes the sandbox handy for quick analysis and data exploration. - **Charts and ER diagrams:** Turn query results into charts and draw ER diagrams to visualise table relationships within the same workspace. - **Semantic search and RAG:** Explore RAG and semantic-search style workflows against your data, using the sandbox to prototype AI data features. - **Real Postgres semantics:** Because it is real PostgreSQL, SQL you write here behaves like SQL you write on a server, so results transfer. **Strengths:** Runs real PostgreSQL with no install or server setup; AI assistance lowers the learning curve for SQL; CSV import, charts, ER diagrams and semantic search in one place; Genuinely free and instant to try in the browser **Limitations:** Data lives in the browser session, so it is not a persistent production database; Persistent storage depends on browser/IndexedDB and can be cleared; Not a substitute for a managed Postgres server for real applications; AI-generated SQL should still be reviewed before running [Profile (Markdown)](https://openaitools.app/tool/postgres-sandbox.md) ## Frequently Asked Questions ### How do Dust and Postgres Sandbox compare in monthly traffic? Dust has 547,217 monthly visits, while Postgres Sandbox has 445. 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%; Postgres Sandbox has -17.3%. ### 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. Postgres Sandbox: Free. Free. Postgres Sandbox runs in the browser at no cost — there is no install, no account requirement mentioned and no paid tier advertised. Just open the page and a PostgreSQL database is created as you start writing SQL. ## 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 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) | | 4 | [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) | | 5 | [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) | | 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 | [Convex](https://openaitools.app/tool/convex) | 390,417 | -18.7% | Freemium, Paid | Reactive TypeScript backend with database, functions and AI gateway | [.md](https://openaitools.app/tool/convex.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 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Delivers enterprise-grade conversational AI and workflow automation, but focuses more heavily on customer service and enterprise contact centers. | [.md](https://openaitools.app/tool/kore-ai.md) | --- Source: https://openaitools.app/compare/dust-vs-postgres-sandbox More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)