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UsedBy.ai
2026 Comparison

Dust vs Duckle

Data-driven comparison based on 32+ enterprise adoption patterns

Higher Adoption
Dust

Dust

by Dust

25
Companies
Knowledge & Internal Search
Category
Duckle

Duckle

by Duckle

7
Companies
Knowledge & Internal Search
Category
Data Methodology: Adoption data is based on public tech stack disclosures, job postings, case studies, and verified enterprise reports analyzed by UsedBy.ai. Showing 32 verified enterprise adoptions. More data being indexed continuously.

Feature & Adoption Comparison

MetricDustDuckle
Enterprise Adoption
25 companies7 companies
Category
Knowledge & Internal SearchKnowledge & Internal Search
Pricing Model
FREEMIUMFREEMIUM
Free Trial
Website
Visit Visit
Decision Guide

Which One Should You Choose?

Based on real enterprise adoption patterns

Dust

Choose Dust if...

  • You want the most validated option (25+ enterprises)
Try Dust
Duckle

Choose Duckle if...

  • You're in DevTools & Infrastructure (43% of users are)
Try Duckle
UsedBy Exclusive Data

Industry Adoption Patterns

See which industries prefer each tool based on real adoption data

Dust

Dust by Industry

Fintech & Payments12%
HealthTech & Digital Health12%
Marketing Tech12%
Cybersecurity8%
Marketplace8%
Duckle

Duckle by Industry

Duckle is the go-to choice for DevTools & Infrastructure (43% of adopters)

DevTools & Infrastructure43%
Artificial Intelligence29%
Sales Tech & CRM14%
Fintech & Payments14%

Dust vs Duckle: Your Questions Answered

Dust has higher enterprise adoption with 25 companies using it, compared to 7 for Duckle. This suggests stronger market validation for Dust.
While our data doesn't show companies currently using both tools together, they serve similar purposes and could potentially complement each other.
Dust is particularly strong in Fintech & Payments (12% of adopters), while Duckle dominates in DevTools & Infrastructure (43%). Choose based on your industry's prevailing stack.
For startups, consider: Dust offers freemium pricing, while Duckle uses freemium pricing. Both are validated by enterprise use, ensuring scalability as you grow.

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