8 Make Alternatives That Actually Work in 2026

Make.com (formerly Integromat) has been a popular choice for visually automating workflows and integrating SaaS applications, helping countless teams to connect their tools without writing code. As automation needs evolve, though, many organizations find themselves seeking alternatives. Whether it’s the need for more granular control over code, a desire for open-source flexibility, challenges with scaling complex scenarios, or the demand for broader orchestration capabilities spanning data, infrastructure, and AI, the search for a different approach is common.

In 2026, the landscape of automation platforms offers a diverse array of options, each with unique strengths. The leading alternatives to Make.com include Kestra, Zapier, n8n, Lindy AI, Relay.app, Workato, Microsoft Power Automate, and Pipedream. This article will guide you through the reasons why teams are exploring these alternatives, the key criteria for evaluating them, and a detailed comparison of eight top contenders. By the end, you’ll have a clear understanding of which platform best aligns with your specific technical requirements, team skillset, and long-term automation strategy, from simple integrations to complex, production-grade workflows.

Why teams are looking for alternatives to Make.com

While Make.com’s visual interface is a significant strength for straightforward integrations, teams often encounter limitations as their automation requirements mature. The reasons for seeking an alternative typically fall into four key areas.

Scaling beyond visual workflows for complex logic

Visual, drag-and-drop interfaces are excellent for rapid prototyping and simple connections. They can become a bottleneck, though, when managing dozens or hundreds of complex, mission-critical workflows. Version control, collaborative development, and automated testing become difficult when the workflow logic is locked inside a GUI. A change made in the UI can be hard to review in a pull request, and rolling back to a previous version is not as straightforward as a git revert. This leads teams to look for platforms where workflows are defined as code or declarative configuration, which addresses the complexities of modern orchestration.

The push for open-source and self-hosted flexibility

Relying on a proprietary, cloud-only platform can introduce concerns about vendor lock-in, data sovereignty, and unpredictable costs. Open-source and self-hosted workflow orchestration platforms give organizations complete control over their data and infrastructure. This matters most for companies in regulated industries or those with strict data privacy requirements. The ability to customize the source code, contribute to the community, and avoid being tied to a single vendor’s roadmap are powerful motivators for exploring open-source alternatives.

Integrating with developer-centric tools and practices

Modern engineering teams operate with established practices like GitOps, Infrastructure as Code (IaC), and CI/CD pipelines. An automation tool that doesn’t natively integrate with this ecosystem creates friction. Teams need a platform that treats workflows as first-class citizens in their development lifecycle. This means defining workflows in a format that can be stored in Git, reviewed through pull requests, and deployed automatically. Platforms that are language-agnostic and can orchestrate anything from a shell script to a Python application or a Terraform plan are better suited for these GitOps environments.

Expanding automation beyond SaaS integrations

Make.com’s core strength lies in connecting SaaS applications. Business processes, though, are rarely confined to SaaS tools alone. True end-to-end automation often requires orchestrating a mix of services: running data transformation jobs, provisioning cloud infrastructure, executing AI/ML models, and managing legacy on-premise systems. This requires a platform that serves as a universal control plane, capable of managing workflows across data engineering, infrastructure automation, and AI pipelines from a single point of control.

How we evaluated these alternatives

To provide a balanced comparison, we evaluated each Make.com alternative based on a set of criteria designed to highlight their suitability for different teams and use cases. Our evaluation focused on flexibility, control, and fitness for technical environments, using the following key factors:

• Deployment Model: Can the tool be used as a cloud service, self-hosted on-premise, or both?
• License: Is the platform proprietary, open-source, or available in both models?
• Primary Use Case: Is the tool primarily for SaaS integration, data pipelines, infrastructure automation, or a combination?
• Developer Experience: How well does the platform support code, version control, testing, and integration with developer toolchains?
• Scalability: How does the architecture handle increasing complexity, concurrency, and workload volume?
• Integration Ecosystem: How extensive is the library of pre-built connectors and plugins?
• Pricing Transparency: Is pricing based on tasks, users, features, or a combination, and how predictable is it at scale?

The Top 8 Make.com Alternatives for Modern Automation

Here are eight leading alternatives to Make.com, each offering a different approach to workflow automation and orchestration.

1. Kestra: The declarative orchestration control plane

Kestra is an open-source, event-driven orchestration platform that unifies data, AI, infrastructure, and business workflows. Instead of a purely visual interface, Kestra uses declarative YAML files to define workflows. This code-adjacent approach brings the benefits of software engineering—version control, collaboration, testing, and CI/CD—to orchestration.

Its language-agnostic architecture allows you to run tasks written in any language, including Python, Shell, SQL, and Node.js, or execute containerized applications. This makes Kestra a powerful control plane that can sit above your existing tools and scripts, coordinating them into resilient, observable workflows. For example, a single Kestra flow can trigger a dbt job, run an Ansible playbook, call a SaaS API via an HTTP request, and send a Slack notification upon completion.

While it has a steeper learning curve for non-technical users compared to Make.com, its built-in UI provides a visual representation of the YAML, a code editor, and detailed execution logs, making it accessible to a wide range of technical roles. As seen with CAGIP, the IT production arm of Crédit Agricole, Kestra can transform infrastructure operations and scale data workflows across more than 100 clusters.

Best for: Platform engineers, data engineers, and DevOps teams needing a unified, code-driven orchestration layer for complex, production-grade workflows across diverse systems. It is also a powerful n8n alternative for teams who need stronger engineering capabilities.

2. Zapier: The market leader for no-code SaaS automation

Zapier is arguably the most well-known name in the no-code automation space and a direct competitor to Make.com. Its primary strength is its simplicity and an unparalleled library of over 6,000 application integrations, called “Zaps.” The trigger-and-action model is intuitive for business users, allowing them to connect apps like Google Sheets, Slack, and Salesforce in minutes without any technical expertise.

While Zapier excels at simple, linear, SaaS-to-SaaS automations, it can become expensive and difficult to manage for complex, multi-step workflows with conditional logic. Its focus is squarely on the business user, offering less control and fewer developer-centric features compared to other tools on this list.

Best for: Non-technical teams and small businesses that need to automate simple, event-driven tasks between their most-used SaaS applications. For a deeper dive, see our comparison of Zapier alternatives.

3. n8n: Open-source visual automation for developers

n8n positions itself as a “source-available workflow automation tool,” offering a middle ground between the no-code simplicity of Zapier and the code-heavy nature of developer platforms. It provides a visual, node-based canvas similar to Make.com but is built with developers in mind. Key differentiators include a solid self-hosting option, the ability to write custom JavaScript or Python in “Code” nodes, and a fair-code license that makes it free for many use cases.

n8n is highly extensible and offers a strong set of tools for debugging and handling complex data transformations within its visual interface. This makes it a favorite among technical users who appreciate visual building but require the power to drop into code when necessary.

Best for: Technical users, developers, and startups who want a visual automation tool with the flexibility of open-source, self-hosting, and custom code integration.

4. Workato: Enterprise-grade iPaaS for business processes

Workato is an enterprise-grade Integration Platform as a Service (iPaaS) designed for large organizations with complex integration and automation needs. It goes beyond simple task automation to handle mission-critical business processes, offering strong governance, security, and compliance features.

Workato uses a “recipe” concept for building automations and has a vast library of connectors for enterprise systems like Salesforce, SAP, and ServiceNow. It also includes capabilities for API management and data integration. Its power and feature set come with a significant price tag and complexity, placing it firmly in the enterprise market.

Best for: Large enterprises needing a reliable, secure, and scalable platform for integrating and automating business-critical processes across a wide range of enterprise applications.

5. Microsoft Power Automate: Automation in the Microsoft ecosystem

Microsoft Power Automate (formerly Microsoft Flow) is a strong contender for organizations deeply embedded in the Microsoft ecosystem. It offers native integration with Microsoft 365, Dynamics 365, Azure, and hundreds of other services.

One of its key features is the inclusion of Robotic Process Automation (RPA) capabilities, allowing it to automate tasks on legacy desktop applications that lack APIs. While it has a powerful visual designer, its logic and user experience are most intuitive for those already familiar with the Microsoft stack. For workflows that extend beyond the Microsoft world, other tools might offer a more neutral and flexible approach.

Best for: Organizations of all sizes that are heavily invested in the Microsoft ecosystem and need to automate internal business processes, including those involving desktop applications.

6. Pipedream: Developer-centric API workflow automation

Pipedream is built from the ground up for developers. It provides a serverless platform where you can connect APIs and build event-driven workflows using code (Node.js, Python, Go, and Bash). While it offers a visual representation of the workflow, the core logic is written in code, giving developers full control and flexibility.

It features a massive library of pre-built triggers and actions for popular APIs, which can be easily customized. Pipedream’s serverless architecture means you don’t have to manage any infrastructure, and its generous free tier makes it accessible for individual developers and small projects.

Best for: Developers and technical teams building custom API integrations and event-driven serverless workflows who want full control over the code. It is an excellent choice for those looking for developer-focused Pipedream alternatives.

7. Windmill: Open-source platform for internal tools and workflows

Windmill is an open-source platform designed for engineering teams to build internal tools, scripts, and workflows. It goes beyond simple automation by allowing you to turn scripts (Python, TypeScript, Go, Bash) into interactive UIs, cron jobs, and approval-based workflows.

It is self-hostable and provides a developer-centric experience with features like Git-sync, a built-in code editor, and fine-grained permission controls. Windmill is less about connecting external SaaS apps and more about automating internal operations and building the custom tooling that engineering teams need to be productive.

Best for: Engineering teams looking to rapidly build internal tools, automate complex operational tasks, and manage scripts in a centralized, secure environment. It’s a strong option among Windmill alternatives for teams focused on internal development.

8. Relay.app: Intelligent automation for operations

Relay.app is a modern automation platform that combines a collaborative, multiplayer interface with AI-powered features. It is particularly well-suited for operations teams and for automating processes that require human-in-the-loop interventions, such as incident response, customer onboarding, or content approval workflows.

Its focus on collaboration allows multiple team members to build and manage automations together. Relay.app uses AI to help suggest automation steps and can handle more complex, stateful processes than many traditional automation tools.

Best for: Operations, support, and security teams seeking an AI-assisted automation platform for managing human-involved workflows and incident response playbooks.

Comparison of Make.com Alternatives

A note on Makefile and Taskfile alternatives

Not everyone searching for “make alternatives” is looking at Make.com. The make build tool and its Makefile syntax remain widely used for compiling code and running project tasks, but their tab-sensitive syntax, limited cross-platform behavior, and awkward handling of anything beyond file targets push many teams to look elsewhere.

For task running and builds, the common Makefile alternatives are Task (which uses a readable YAML Taskfile.yml), Just (a command runner with a cleaner syntax than make), and language-native tools like npm scripts, Gradle, or Bazel. These are the right fit when your goal is local builds and developer task running.

The distinction matters when your “tasks” grow into scheduled, event-driven, or multi-system workflows. A Makefile has no scheduler, no retries, no UI, and no observability. Once you need to run a task on a cron, react to an event, retry on failure, or coordinate steps across services, an orchestrator like Kestra is a better fit: it keeps the declarative, file-based feel engineers like about make while adding scheduling, triggers, and execution history on top. For teams outgrowing shell-and-make glue, this is the natural next step toward self-hosted workflow orchestration.

Choosing the right alternative to Make.com for your needs

Selecting the best platform depends entirely on your team’s skills, your specific use cases, and your long-term goals. Here’s a framework to guide your decision.

For business and non-technical teams

If your primary goal is to connect SaaS applications with minimal technical overhead, your best options are Zapier or sticking with Make.com. Both offer intuitive visual interfaces and vast libraries of pre-built integrations. Zapier’s simplicity is its greatest asset, making it the fastest way for business users to automate simple tasks.

For data engineering and platform teams

For teams managing complex data pipelines, infrastructure, and production systems, a declarative, code-driven approach is essential. Kestra is the ideal choice here, providing a unified control plane to orchestrate disparate tools and scripts with the reliability and observability required for production environments. Its YAML-based workflows fit directly into GitOps and CI/CD practices. Pipedream is also a strong contender for use cases centered purely on custom API development and serverless functions.

For open-source and self-hosting advocates

If data sovereignty, customization, and avoiding vendor lock-in are your top priorities, the open-source options are the way to go. Kestra offers a powerful, scalable open-source core for broad orchestration needs. n8n provides a visually-driven, self-hostable alternative for SaaS and API automation. Windmill is excellent for teams focused on building internal tools and automating scripts within their own infrastructure.

For AI and advanced automation initiatives

When your automation strategy involves AI models, agentic workflows, or complex logic, you need a platform with advanced capabilities. Kestra excels at orchestrating multi-step AI and ML pipelines, allowing you to chain together data preparation, model training, and inference tasks. Relay.app is a strong choice for workflows that require AI assistance and human oversight, particularly in operational contexts. n8n is also rapidly adding AI capabilities, making it a flexible option for experimenting with AI-powered visual workflows.

The modern approach to workflow automation

The shift from simple no-code automation to full orchestration reflects a broader trend in software development. Modern teams require platforms that are not just easy to use but also powerful, scalable, and aligned with engineering best practices. The future of automation lies in declarative, code-adjacent platforms that can manage workflows as code, provide end-to-end observability, and unify disparate systems under a single control plane.

Tools like Kestra represent this modern approach, offering a flexible foundation that can grow with your organization’s needs—from a single automated task to a complex web of interconnected data, infrastructure, and business processes. As you evaluate your options, consider not just the problems you need to solve today, but the complexity you’ll need to manage tomorrow. You can explore more in-depth comparisons on our Kestra vs. Alternatives page.