Aug 26, 2025
The automation sector has evolved, leaving behind simple automations that were limited to connecting platforms. Make (formerly Integromat) has established itself as one of the most common applications, thanks to its flexibility and easy-to-use visual interface. However, as companies begin to grow and needs increase, many organizations encounter several limitations with Make. Make's flexibility poses a barrier to compliance requirements, large-scale deployments, and data security.
Comparison Table of Alternatives to Make in 2025
Category | Make | StackAI | Zapier | Gumloop | Tray.io | Microsoft Power Automate | Workato | n8n |
Interface & UX | Flexible visual editor, flowchart style. | Visual interface with AI agents and other features. | Step-by-step visual interface, beginner friendly. | Agile and modern drag-and-drop UI. | Enterprise-oriented interface, visual and low-code. | Business-oriented, visual, low-code interface. | Powerful for teams, a visual enterprise. | Node-based and technical interface. |
AI Capabilities | No native AI. External API integrations. | Advanced functionality with native AI. | Basic AI functionality, triggers, and actions. | Analysis and classification through integrated AI. | Optional AI, not native | Optional, non-native AI. | Partial AI availability depending on integrations. | AI integrations or custom nodes. |
Data Handling | Data with transformations and filtering, slow with large volumes. | Internal knowledge with log control. | Basic data management between apps. | Automated extraction and processing capabilities. | Automated extraction and processing. | Microsoft-oriented structured data. | Complex orchestration and strong integration. | Technical and flexible with large datasets. |
Integrations | Large library of connectors and external API integrations. | Large library of business interactions, more than in Make. | Has the largest library of native integrations, superior to Make. | Limited catalogue, highlighting Hubspot, Slack, and Notion. | Enterprise-level connectors and advanced APIs. | Native integration with Microsoft 365 and Dynamics. | Highly diverse cross-enterprise connections. | Native nodes, community nodes, and APIs. |
Governance & Security | Security depends on hosting, limited compliance. | SOC2, HIPAA, GDPR, roles, logs, on-premise. | Basic security and limited compliance. | Minimal and less robust compliance. | Enterprise-oriented, rules, and logs. | Compliance with Microsoft and Azure, with strong security. | Security with advanced auditing. | Different security between self-hosting and cloud. |
Scalability & Deployment | Scalable through the cloud, which can become saturated with large loads. | Highly scalable on-premise and cloud. | Only available in the cloud, focused on SMBs. | Cloud-based, scalable, and workspace options. | Cloud-oriented for high business performance. | Scales through Azure and Microsoft 365 with high capacity. | At the corporate level, with high global scalability. | Scalable thanks to self-hosting. |
Ease of Use | Medium level, powerful visuals but steep learning curve. | Intuitive drag-and-drop interface with templates available. | Ideal for beginner users. | Easy for non-technical users with a clean interface. | Intermediate capacity, requiring some knowledge. | Less intuitive and ideal for Microsoft users. | Medium-high ease of use, geared toward IT teams. | Medium difficulty requiring technical concepts. |
Support & Ecosystem | Documentation, community, and active forums. | Dedicated support for businesses and a library of advanced cases. | A large community and access to various resources. | Large community, availability, and templates, plus Gumloop University resources. | Enterprise support and through partners. | Oriented towards the Microsoft ecosystem, accompanied by extensive documentation. | Offers strategic and specialized support. | Active and collaborative community for open-source versions. |
Pricing | Freemium or pay-per-use pricing plan. | Pay-per-use or private installation pricing plan. | Scalable, both paid and freemium versions available. | Free and paid plans, as well as credit and enterprise formats. | Customized quote, with enterprise-oriented pricing. | Included in Microsoft 365, but if more functionality is needed, it is scalable by licenses. | Pricing plan only for premium enterprise. | Pricing plan for the cloud version and free for self-hosting. |
Best For | Average users who require flexible logic at a good price. | Businesses with AI and high security. | SMBs, for non-technical teams, focused on easy automation. | Startups or teams that want to explore AI and data. | Ideal for SaaS, RevOps teams, and companies that require robustness. | Microsoft-focused organizations. | Focused on large companies that require complex processes. | Technical teams seeking control in open-source. |
What Are the Best Make Alternatives?
By 2025, automations will require more functionality, including business scalability, native AI, and advanced governance, all accompanied by intelligent reasoning.
If you are evaluating Make, here are seven notable alternatives to consider in 2025. Reviewing the potential of each tool, in which contexts it makes sense to use them, and in what sense they have the most value.
1. StackAI
StackAI incorporates flows that facilitate the construction of AI agents, in addition to having internal tools that classify, make decisions, and analyze autonomously.
It is the most recommended for business processes that require AI in their automation.
Reviewing the potential of each tool, the contexts where they make sense to use, and where they deliver the most value.
What We Like
Native AI as a core feature. AI is at the core; AI is not an integration.
Business certifications (SOC2, HIPAA, GDPR).
It can be complemented with Make, which can provide a layer of intelligent reasoning.
What Could be Improved
Fewer connectors with other Make tools.
Not recommended for simple tasks and automations.
2. Zapier
The Zapier platform has been the leader in IPaaS (Integration Platform as a Service) for many years. As a result, it is well known to users who do not need technical knowledge. It also offers more than 7,000 connector integrations with different tools, currently the largest on the market.
What We Like
It has the most extensive catalogue of integrations on the market.
Workflows that are very easy to implement and configure.
Large library of templates, called “Zaps.”
What Could Be Improved
It is not suitable for automations that require more complex functionalities or multiple steps.
Limited governance and security with respect to sensitive data passing through all workflows.
3. n8n
Concerning Make, which is cloud-based software, n8n has focused on flexibility by offering an open-source project with the possibility of local hosting. It is ideal for teams that require maximum control over their automations.
What We Like
Open-source platform available locally and in the cloud.
Compatibility of AI integration and access to external libraries.
Very active community of users and technicians.
What Could be Improved
Steeper learning curve and may require technical knowledge.
The visual interface is less user-friendly compared to Make.
Limitations at the business compliance level for business solutions.
4. Microsoft Power Automate
The platform is fully integrated with the Microsoft ecosystem. This includes Microsoft Teams, Microsoft 365, and Dynamics. Power Automate provides a clear competitive advantage for companies that have Microsoft integrated throughout their technology stack.
What We Like
Native connection with all tools in the Microsoft ecosystem.
Security and governance focused at the enterprise level, offering an encrypted data system.
Template library expanded to facilitate the application of frequent use cases.
AI functions available through the “AI Builder.”
What Could be Improved
If you do not use the Microsoft ecosystem, it offers very limited functionality.
Complex and expensive licensing pricing plan.
The visual interface for automations is less intuitive and not geared toward SMBs.
5. Tray.ai
Tray.ai is an IPaaS focused on teams that need to scale quickly and require robust workflows in their SaaS environments. This platform can be positioned between no-code and low-code, making it easier for developers to implement more advanced features.
What We Like
Complies with key enterprise-level governance regulations: OC 2 Type 2, HIPAA, and GDPR.
Aimed at creating flows for RevOps teams and SaaS businesses that require a large number of operations.
Incorporation of AI through Merlin Build, which allows for faster automation construction, from optimization to documentation analysis.
Integration of custom code.
What Could be Improved
Higher prices compared to Make.
Smaller library of native connectors.
Limitations in the application of AI.
6. Workato
The Workato tool is designed for large global companies that require high data security and scalability. Its features include AI assistants and templates for implementation focused on large operations.
What We Like
High security and governance accompanied by global security and compliance certificates: PCI-DSS v4.0.1 − Level 1, ISO 27001 and 27701, SOC 1 and SOC 2 Type II, HIPAA, and IRAP.
Recipes templates that facilitate implementation.
IT-First oriented as long as they have strong governance control.
Scalability in business environments such as multinational companies.
What Could be Improved
The pricing plan is aimed entirely at large companies.
For non-technical users, it requires a steep learning curve.
More complex set up configuration compared to Make.
7. Gumloop
Gumloop is one of the tools that is gaining increasing recognition in the sector, which has been focused on AI as its core from the outset. It is ideal for startups, focused on light and even experimental automation.
What We Like
Artificial intelligence functionality for analyzing data and documents.
Simple, modern, and easy-to-use automation interface.
Affordable compared to other business solutions.
A great option for AI use cases that do not require IT support.
What Could be Improved
An ecosystem that still has room for growth.
Low compliance with corporate standards in governance and security.
It does not allow for excellent scalability like Power Automate or Workato.
Why StackAI Is the Top Make Alternative in 2025
In conclusion, Make’s strength lies in its visual automation and balanced complexity, making it a solid choice for teams that want intuitive workflow building without heavy technical investment. This usability has kept it popular among businesses that value straightforward automation.
However, in 2025 the alternatives offer more specialized strengths. Tools like Zapier focus on simplicity, while n8n appeals to teams that want open-source control. Platforms such as Workato, Tray.ai, and Power Automate cater to broader enterprise process automation. Yet for organizations looking to push ahead with AI-driven automation at scale, solutions like StackAI stand out. With its enterprise focus, deep AI integration, and flexibility across use cases, it represents the next step for businesses that want to move beyond basic automation toward intelligent, future-ready workflows.
See how StackAI takes enterprise automation beyond Make — book a demo
Kai Henthorn-Iwane
Software Engineering at Stack AI
