12 Best Make Alternatives & Competitors
The top alternatives to Make in the Workflow Automation space, compared on features, pricing, and what they're best at.
Why look beyond Make?
Make (formerly Integromat) is a visual automation and integration platform that enables users to design, build, and run workflows across more than 3,000 cloud applications and APIs without writing code using a scenario-based, drag-and-drop builder. Acquired by Celonis in 2020 for over $100M and rebranded from Integromat to Make in 2022, the platform provides a powerful visual way to build multi-step workflows with advanced flow control, rich data transformation, HTTP and webhook modules, and an embedded code environment for JavaScript and Python. Make now serves over 350,000 organizations in 200+ countries, from solopreneurs to global enterprises. The platform has evolved to include cutting-edge capabilities such as Make AI Agents, Maia (an AI-powered workflow builder), and Make Grid, a real-time visualization layer for an organization's entire automation landscape. Make is particularly valued for its combination of flexibility, depth of features, and cost-effective pricing for complex automations, making it ideal for operations, IT, and marketing teams comfortable with mapping fields and handling conditions.
- −Steeper learning curve than Zapier due to more complex interface and field mapping
- −Credit-based pricing system can be confusing to estimate costs accurately
- −Less suitable for complete beginners or non-technical users
Top Alternatives to Make
Zapier is the largest workflow automation platform, connecting 6,000+ apps with no-code automations. Its AI features include built-in LLM actions, AI-powered workflow building, and natural language automation creation. Zapier is the default choice for business users automating repetitive tasks across SaaS tools, now enhanced with AI capabilities for content generation, classification, and data extraction.
n8n is an open-source workflow automation platform with deep AI capabilities. Its visual editor connects 400+ app integrations with AI nodes for LLM calls, vector search, document processing, and agent workflows. n8n supports self-hosting for full data control and is popular with technical teams building AI-enhanced business automations that combine traditional integrations with LLM-powered steps.
Gumloop is an AI-native workflow automation platform often called the "AI Zapier." It lets users build complex AI automations visually — chaining LLM calls, web scraping, data processing, and API integrations into multi-step workflows. Designed from the ground up for AI use cases rather than retrofitting AI onto traditional automation.
Temporal is a durable execution platform for building reliable workflows and microservices.
DBOS provides an open-source durable execution library that makes applications resilient to crashes and failures by checkpointing workflow state to Postgres. Developers add simple annotations to existing Python, TypeScript, Java, or Go code to get automatic failure recovery, durable queues, and workflow orchestration—particularly useful for long-running AI agent workflows. Integrates natively with Pydantic AI and LangGraph. SOC 2 compliant.
Relay.app is a collaborative workflow automation platform built around human-in-the-loop AI. It combines traditional automation with AI steps and human approval gates, letting teams build workflows where AI handles the bulk of work but humans review and approve critical decisions. The leading choice for teams that need AI automation with oversight.
Prefect is a workflow orchestration platform for data and ML pipelines.
BubbleLab is an AI-native workflow automation platform built LLM-first. It enables teams to build, test, and deploy AI-powered workflows with native support for language models, prompt chaining, and intelligent routing. Designed for developers building AI applications that need reliable automation pipelines.
Trigger.dev is an open-source background jobs platform for TypeScript/JavaScript. It provides durable execution, automatic retries, and long-running task support — making it the developer favorite for running AI agent workflows, LLM pipelines, and async processing in production. Its code-first approach appeals to engineers who prefer writing workflows in TypeScript over visual builders.
Inngest is a durable workflow engine for building reliable AI pipelines.
Activepieces is an open-source workflow automation platform with built-in AI pieces. It provides a visual builder for connecting apps, AI models, and custom code into automated workflows. Self-hostable and extensible with custom pieces, Activepieces offers a Zapier-like experience for teams that need data control and customization.
Observes how you work and proactively builds and deploys personalized automations — no prompts, no code, no workflow builders.
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