Make (Integromat) vs Semantic Kernel
A detailed side-by-side comparison of Make (Integromat) and Semantic Kernel, covering features, pricing, performance, integrations, and verified user reviews. Last updated March 2026.
$0-$299/mo · Freemium
Visual automation platform connecting 1500+ apps with AI capabilities.
Overview
Make (Integromat)
This visual automation platform empowers businesses to streamline workflows by connecting over 1500 applications through an intuitive, no-code interface. Make delivers powerful automation capabilities without requiring technical expertise, enabling organizations to eliminate repetitive tasks and improve operational efficiency. The platform's AI-enhanced features allow users to automate complex business processes, integrate disparate systems, and create sophisticated workflows that adapt to modern business needs. By reducing manual work and human error, Make helps teams focus on strategic initiatives while maintaining seamless data flow across their entire technology stack. The platform offers an extensive library of pre-built templates and modules that accelerate automation setup and deployment. Users benefit from real-time monitoring, detailed logging, and troubleshooting tools that ensure workflows operate reliably. Make's visual scenario builder enables users to design complex automations by simply connecting application blocks, making advanced integration accessible to non-technical team members. The freemium pricing model allows businesses to test and develop automations before scaling, with flexible paid tiers accommodating growing organizational needs. Make serves businesses across industries seeking to optimize operations and reduce costs through intelligent automation. Marketing teams leverage it for campaign automation, sales departments streamline lead management, and finance teams automate reporting processes. Organizations choose Make for its combination of extensive app connectivity, user-friendly interface, transparent pricing, and powerful AI capabilities that deliver measurable productivity gains. Whether managing simple integrations or orchestrating enterprise-wide workflows, users appreciate the platform's scalability and reliability.
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Semantic Kernel
This powerful open-source SDK from Microsoft enables developers to seamlessly integrate large language models with custom plugins and intelligent planners, creating sophisticated AI-driven workflow automation solutions. By bridging the gap between LLM capabilities and enterprise applications, it provides a unified framework for building agents that can reason, plan, and execute complex tasks autonomously. The platform streamlines the process of connecting AI models to business logic, allowing organizations to leverage cutting-edge language technologies within their existing infrastructure without proprietary lock-in. The toolkit offers comprehensive features including plugin orchestration, allowing developers to connect diverse data sources and business applications directly to AI models. It includes multiple planning strategies that enable agents to break down complex objectives into executable steps, advanced memory management for maintaining context across interactions, and seamless integration with popular language model providers. The SDK supports multiple programming languages, making it accessible to diverse development teams while maintaining consistency across platforms and deployments. Organizations choose this solution for its flexibility, enterprise-grade reliability, and active community support backed by Microsoft's resources. It appeals to enterprises seeking to automate knowledge work without vendor dependency, developers building production-grade AI applications, and teams wanting to extend their existing systems with intelligent capabilities. The open-source nature fosters innovation and transparency, while comprehensive documentation and examples accelerate implementation timelines. Companies can reduce development costs while maintaining full control over their AI infrastructure and workflows.
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| Feature | Make (Integromat) | Semantic Kernel |
|---|---|---|
| Category | Workflow Automation | Workflow Automation |
| Pricing Model | Freemium | Open Source |
| Starting Price | $0-$299/mo | Free |
| Free / Open Source | ||
| GitHub Stars | 23,000 | |
| Verified |
Verdict
Semantic Kernel takes the lead with a higher AgentScore (8.3 vs 7.6). However, the best choice depends on your specific requirements, budget, and use case. We recommend trying both tools before making a decision.
Switching Between Make (Integromat) and Semantic Kernel
Since both Make (Integromat) and Semantic Kernel operate in the Workflow Automation space, migrating between them is a common consideration. Key factors to evaluate before switching:
- Data portability — can you export your data from one and import into the other?
- Integration overlap — check if both support the platforms your team relies on
- Pricing transition — compare contract terms, especially if you're mid-subscription
- Learning curve — factor in team retraining time and workflow adjustments
- Feature parity — verify that your must-have features exist in the target tool
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FAQ
- Is Make (Integromat) better than Semantic Kernel?
- Make (Integromat) has an AgentScore of 7.6/10 compared to Semantic Kernel's 8.3/10. Semantic Kernel scores higher overall, but the best choice depends on your specific needs and budget.
- Which is cheaper, Make (Integromat) or Semantic Kernel?
- Make (Integromat) pricing: $0-$299/mo (Freemium). Semantic Kernel pricing: Free (Open Source). Compare features alongside price to find the best value for your use case.
- What category are Make (Integromat) and Semantic Kernel in?
- Both Make (Integromat) and Semantic Kernel are in the Workflow Automation category, making them direct competitors.