# Dust vs Rerun

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Rerun records 54,018 monthly visits with -23.7% growth and Free pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Rerun](https://openaitools.app/tool/rerun) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://rerun.io |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Developer Tools, Log Management, AI For Data Analytics, AI Monitor |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 547,217 | 54,018 |
| MoM Growth Rate | +1.8% | -23.7% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 24,880 |
| Review Score | 4.4 | 4.6 |
| Saved Count | 5 | 1 |
| 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)

## Rerun

Rerun is an open-source SDK and visualizer built for multi-rate, multimodal data, and it markets itself as the data layer for physical AI. Engineers use it to log sensor streams, computer-vision outputs, 3D transforms, and time-series metrics from the first recording through to large-scale review. Because it is a flexible framework rather than a locked platform, teams can extend the viewer with their own views and tools at each stage of the pipeline.

The SDK ships with Python, Rust, and C++ APIs, so it fits into existing robotics and perception stacks without a rewrite. Data is stored as column-chunks in rrd files, which supports full dataframe or SQL queries over any recording, down into the columns, time ranges, and values inside it rather than only metadata.

Beyond the free tooling, Rerun offers Rerun Hub, a production backend that catalogs recordings, indexes byte ranges, and turns object stores into a queryable, streamable foundation. Hub supports running transforms on the edge or close to the data and streaming datasets directly to GPUs for training without an export step.

**Pricing & Plans:** The Rerun SDK and viewer are open source and free to use. Rerun also offers Rerun Hub, a production backend, whose pricing is arranged separately with the team. Check the Rerun website and GitHub repository for current terms.

- **Multimodal data visualization:** Log, store, and view images, point clouds, 3D transforms, and time series together in one viewer.
- **Open-source logging SDK:** Record multi-rate, multimodal data as column-chunks in rrd files, or convert from other formats.
- **Query and transform:** Run full dataframe or SQL queries over robotics data, down into columns, time ranges, and values.
- **Edge and stream transforms:** Add derived columns and evolve schemas without breaking history, on the edge or near the data.
- **Rerun Hub backend:** A hosted backend with catalog, byte-range indexing, and retrieval that turns object stores into a queryable dataset.

**Strengths:** Open-source core with permissive use across research and production; Handles multimodal and multi-rate data in one viewer; APIs for Python, Rust, and C++; Query and transform data without an export step

**Limitations:** Requires coding in Rust, Python, or C++ to get full value; The hosted Rerun Hub backend is a newer, additional product beyond the free SDK; Visualization work is aimed at engineering teams, not general business users; Advanced production features assume existing logging pipelines

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

## Frequently Asked Questions

### How do Dust and Rerun compare in monthly traffic?

Dust has 547,217 monthly visits, while Rerun has 54,018. 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%; Rerun has -23.7%.

### 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. Rerun: Free. The Rerun SDK and viewer are open source and free to use. Rerun also offers Rerun Hub, a production backend, whose pricing is arranged separately with the team. Check the Rerun website and GitHub repository for current terms.

## 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 | [Datadog](https://openaitools.app/tool/datadog) | 5,175,760 | -4.8% | Freemium, Free Trial, Paid, Contact for Pricing, Free | Unified observability, security and incident response for cloud-scale engineering teams | [.md](https://openaitools.app/tool/datadog.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 | [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) |
| 8 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.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 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |

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Source: https://openaitools.app/compare/dust-vs-rerun

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