The top alternatives to Zapier in the Workflow Automation space, compared on features, pricing, and what they're best at.
Zapier is the undisputed leader in no-code workflow automation, offering over 7,000 app integrations to help businesses of all sizes improve productivity by connecting and automating workflows between popular software applications. Founded in 2011, Zapier has evolved into a comprehensive automation platform that now includes Tables, Forms, and AI capabilities like Zapier Copilot, which lets users describe workflows in plain English to automatically generate automations. The platform features a library of over 250 AI app integrations and built-in AI actions for tasks like summarizing text and classifying data. With Zapier MCP (Model Context Protocol), the platform serves as a complete orchestration layer for AI-powered workflows, combining data management, custom forms, workflow automation, and AI actions in a single unified package. The platform is used globally by teams ranging from small businesses to large enterprises seeking to eliminate manual work without requiring technical expertise.
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.
Make (formerly Integromat) is a visual workflow automation platform with powerful data transformation and AI capabilities. It offers more complex routing, filtering, and data manipulation than simpler tools, making it popular with technical users. Make's AI modules support LLM calls, image generation, and document processing within multi-step automation scenarios.
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.
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.
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.
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.