Dust vs Genspark
Side-by-side comparison of features, pricing, and ratings
Dust or Genspark: which should you choose?
| Dimension | Dust | Genspark |
|---|---|---|
| Primary job | Enterprise agents wired into Slack, Notion, Salesforce, Zendesk | Search synthesis plus an all-in-one creative and office suite |
| Pricing model | Freemium; credits vary by model and tool use, no rollover | Freemium; includes GenOffice, an open-source AI office suite |
| Integrations | 70+ connectors: Slack, Notion, GitHub, Salesforce, Zendesk, plus MCP | Google Workspace, Microsoft 365, Canva, Figma |
| Model choice | 20+ models per agent (GPT, Claude, Gemini, Mistral, DeepSeek) | Not disclosed; positioned as a unified workspace |
| Enterprise controls | Spaces segmentation, dual-layer permissions, SSO/SCIM, audit logs | Not listed; focuses on individual and small-team ease |
| Best fit | Ops teams with an owner to configure and maintain agents | Researchers, students, marketers, non-technical builders |
Pick Dust if agents need to act inside your company's real systems — Slack, Salesforce, Zendesk, GitHub — and you have an ops owner who will configure permissions, Spaces and SSO. Pick Genspark if the job is know-how work: cited research, decks, docs, podcasts and no-code internal tools, ideally on Google Workspace or Microsoft 365. If you cannot name the systems the agent must touch, Dust's setup cost is wasted and Genspark is the faster win.
Dust builds multiplayer AI agents that pull company context from 70+ connectors and act inside Slack, CRM and docs.
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Genspark is an agentic AI workspace that turns one prompt into cited research, a slide deck, a live dashboard or a working app.
Visit WebsiteWhat do real users say about Dust vs Genspark?
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Dust
86 mentions across 6 sources · 49% positive — mixed (weighted across 6 sources)
Hacker News, YouTube, Product Hunt, App Store, Stack Overflow, Lemmy
What users praise
- • 70+ native connectors (Slack, Notion, Salesforce, Zendesk, GitHub) let agents act on real company systems
- • Per-agent model choice across 20+ frontier and open-source models enables cost/quality tuning
- • Dual-layer permission model separates what agents access from who can use them
- • US or EU data residency plus SSO, SCIM and audit logs address enterprise governance needs
What frustrates them
- • No authentic community feedback exists in the scraped data to validate the tool's real-world reliability
- • Credits reset each period with no rollover, risking mid-month exhaustion for busy teams
- • Enterprise-only features (unlimited connectors, pooled credits, single-tenant) leave smaller tiers constrained
- • Name collision with games, novels and a messaging app makes independent research genuinely hard
Researched Sep 29, 2026
Genspark
92 mentions across 6 sources · 58% positive — mixed (weighted across 6 sources)
Hacker News, YouTube, Product Hunt, App Store, Bluesky, Lemmy
What users praise
- • Turns a single prompt into research, slides, dashboards or a working app
- • Gen-1 Slides praised by consultants for executive-ready presentation decks
- • Dashboard Generator converts plain English to auto-refreshing shareable dashboards
- • Model switching across GPT Image 2, Nano Banana, Claude Sonnet 5 and others
What frustrates them
- • Credits disappear on failed tasks, making real cost unpredictable
- • Support is unresponsive when credits or daily allowances go missing
- • Hundred free credits feel like a paywall rather than a real trial
- • Privacy policy offers little control over data collection compared to rivals
Researched Nov 7, 2026
Who should pick Dust, and who should pick Genspark?
- Support or sales ops leadPick: Dust
Ticket triage and account work need Zendesk, Salesforce and Slack connectors, per-team Spaces and audit logs — nothing Genspark's integration list covers.
- Security-conscious enterprise rolling AI out broadlyPick: Dust
Dual-layer permissions, Okta/Entra ID/Jumpcloud SSO, SCIM provisioning and audit logs are the controls needed before widening access.
- Analyst or student producing cited researchPick: Genspark
Sparkpages and deep research turn web results into cited summaries — faster than wiring connectors you do not have anyway.
- Marketer shipping decks, docs and videoPick: Genspark
AI Slides with Canva and Figma, AI Docs, AI Pods and Clip Genius keep production in one account instead of five subscriptions.
- Small team on Google Workspace wanting internal toolsPick: Genspark
AI Employee and Super Agents build no-code automations that sit naturally on Google Workspace, with no ops engineer required.
Frequently Asked Questions
Dust vs Genspark: which should you choose?
Pick Dust if agents need to act inside your company's real systems — Slack, Salesforce, Zendesk, GitHub — and you have an ops owner who will configure permissions, Spaces and SSO. Pick Genspark if the job is know-how work: cited research, decks, docs, podcasts and no-code internal tools, ideally on Google Workspace or Microsoft 365. If you cannot name the systems the agent must touch, Dust's setup cost is wasted and Genspark is the faster win.
Can Genspark agents reach my Slack or Salesforce data?
Its listed integrations are Google Workspace, Microsoft 365, Canva and Figma — Slack, Notion, Salesforce and Zendesk appear on Dust's connector list, including through MCP for systems Dust does not cover natively.
Do I need a technical owner to run Dust?
Effectively yes. The agent list, skills and permissions need configuration, and Dust itself names small non-technical teams without an ops owner as a poor fit.
Is Genspark only a search tool?
No. Beyond Sparkpage synthesis it ships AI Employee, Super Agents, AI Slides, AI Sheets, AI Docs, AI Pods, Clip Genius, AI Designer and an agentic AI Browser, and GenOffice extends it into office documents, spreadsheets and presentations.
What happens to unused Dust credits?
They do not roll over, and consumption varies by model and tool use — so model choice and trigger frequency directly change your monthly spend.
Which one handles real-time data like stock prices?
Neither is positioned for it. Genspark explicitly lists real-time data such as stock prices and live sports scores as a poor fit; Dust's focus is internal company systems.
Can Dust agents run without a human typing a prompt?
Yes — agents support scheduled and event-driven triggers and multi-agent orchestration, so work can start from a schedule or an event rather than a chat message.
Does either offer an open-source path?
Genspark launched GenOffice, described as the first open-source AI office suite with agentic workflows, and signed the Open Weights AI Letter in July 2026. Dust's agent platform is a hosted product.
How do I know either is paying off?
Dust tracks adoption, usage, costs and ROI with audit logs and usage analytics. Genspark publishes enterprise guidance on scaling agentic AI without letting cost outrun value, but ships no equivalent in-product ROI reporting in the data here.
What else are Dust and Genspark compared with?
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Analysis generated by our model pipeline from live data: