Clay
Dify
| Feature | Dify | |
|---|---|---|
| Pricing | Free / from $149/mo | Free / from $59/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.6 / 5 | 4.5 / 5 |
| Best For | sales-teams, growth-teams, agencies, outbound-heavy-companies | ai-builders, non-technical-teams, enterprises, developers |
| Founded | 2017 | 2023 |
| Data Enrichment | ✓ | ✗ |
| Ai Research | ✓ | ✗ |
| Waterfall Enrichment | ✓ | ✗ |
| Outreach Personalization | ✓ | ✗ |
| Crm Integration | ✓ | ✗ |
| List Building | ✓ | ✗ |
| Ai Messaging | ✓ | ✗ |
| Visual Orchestration | ✗ | ✓ |
| Rag Pipeline | ✗ | ✓ |
| Agent Mode | ✗ | ✓ |
| Multi Model | ✗ | ✓ |
| Knowledge Base | ✗ | ✓ |
| Api Access | ✗ | ✓ |
✓ Clay Pros
- Aggregates 75+ data sources in one waterfall enrichment
- AI research agent writes personalized outreach copy
- Flexible spreadsheet-like interface for data manipulation
- Integrates with all major CRMs and sequencing tools
✗ Clay Cons
- Expensive for small teams (starter at $149/mo)
- Learning curve for advanced data workflows
- Credit system can be confusing to predict costs
✓ Dify Pros
- Open-source and self-hostable
- Visual workflow builder
- Built-in RAG pipeline
- Multi-model support
✗ Dify Cons
- Complex for simple chatbots
- Self-hosting requires resources
- Documentation improving
The Verdict
Clay is built for sales teams and growth teams, with a focus on data-enrichment and ai-research. Dify targets ai builders and non technical teams and leads with visual-orchestration and rag-pipeline.
On pricing, Dify is the clear winner for budget-conscious users — starting at $59/mo compared to $149/mo for Clay. That $90/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Clay offers broader built-in capabilities (7 features vs 6), while Dify takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.