Make (formerly Integromat) vs Salesforce Einstein
Which Is Better in 2026?
Quick Verdict
Make is a general-purpose workflow automation platform best for connecting diverse business apps and automating cross-system processes, while Salesforce Einstein is an AI-powered CRM tool designed specifically for sales teams within the Salesforce ecosystem. Choose Make if you need flexible integrations across many applications; choose Einstein if you're already invested in Salesforce and want AI-driven sales insights and lead scoring.
Pricing Comparison
| Plan | Make (formerly Integromat) | Salesforce Einstein |
|---|---|---|
| Free | Free | $50/mo |
| Standard | $9.99/mo | $100/mo |
| Pro | $29.99/mo | Custom/mo |
| Business | $99/mo | — |
| Enterprise | Custom/mo | — |
Feature Comparison
| Feature | Make (formerly Integromat) | Salesforce Einstein |
|---|---|---|
| Visual Workflow Builder | N/A | |
| App Integrations | 1000+ | N/A |
| Custom Webhooks | N/A | |
| Data Routing & Logic | N/A | |
| AI Text Generator | N/A | |
| API Access | N/A | |
| Execution History & Logs | N/A | |
| Team Collaboration | N/A | |
| Data Storage | N/A | |
| Error Handling & Retries | N/A | |
| Scheduled Workflows | N/A | |
| 24/7 Support | N/A | |
| SSO & SAML | Enterprise only | N/A |
| AI Writing | N/A | |
| Predictive Scoring | N/A | |
| Lead Scoring | N/A | |
| Opportunity Scoring | N/A | |
| Account Insights | N/A | |
| Relationship Intelligence | N/A | |
| Automated Data Enrichment | N/A | |
| Natural Language Processing | N/A | |
| Recommendation Engine | N/A | |
| Email Insights | N/A | |
| Territory Recommendations | N/A | |
| Conversation Intelligence | N/A | |
| Einstein Copilot | N/A |
Pros & Cons
Make (formerly Integromat)
Pros
- 1000+ native integrations with extensive app support
- Advanced workflow logic including iterations, conditional branching, and data transformation
- Affordable per-operation pricing model suitable for high-volume automation
- Active community, marketplace, and comprehensive documentation
Cons
- Steeper learning curve than simpler automation platforms
- Operation costs can accumulate quickly with complex scenarios
- Occasional performance delays during peak usage periods
Salesforce Einstein
Pros
- Deep native integration with Salesforce ecosystem and data
- Pre-built AI models reducing time to value
- No-code interfaces enabling business users to build predictions
- Generative AI capabilities for content and email assistance
Cons
- High licensing costs for comprehensive Einstein features
- Steep learning curve for advanced customization and deployment
- Data quality requirements and dependency on clean CRM data
Conclusion
Make wins for businesses seeking affordable, no-code automation across multiple platforms, while Salesforce Einstein is better for enterprises deeply embedded in Salesforce who can justify the additional licensing costs for AI-powered sales intelligence. The choice ultimately depends on whether you need broad app integration (Make) or Salesforce-specific AI enhancements (Einstein).
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