Activepieces vs Trigger.dev
Side-by-side comparison of AI visibility scores, market position, and capabilities
SF open-source AI-first workflow automation at $1.7M ARR Dec 2024 with 450+ integrations and self-hosted option; YC $1.55M competing with Zapier and n8n for compliance-conscious teams needing MCP/Claude/GPT-4 automation pipelines.
About
Activepieces is a San Francisco-based open-source workflow automation platform — backed by Y Combinator with $1.55 million raised from ByTheTower, Forward VC, Fundamental VC, Kima Ventures, and Soma Capital in November 2024 — providing teams with an AI-first business process automation alternative to Zapier, Make.com, and Workato through a self-hostable, MIT-licensed platform with 450+ integrations, native AI agent support (GPT-4, Claude, Model Context Protocol), and a managed cloud version. Founded in 2022 and reaching $1.7 million in annual revenue by December 2024 with a team of 11-19 employees, Activepieces has differentiated through its open-source model — allowing companies with data compliance requirements (GDPR, HIPAA, SOC 2) to run the entire automation infrastructure on their own servers rather than routing sensitive data through third-party SaaS automation platforms.
Trigger.dev is an open-source TypeScript background jobs framework enabling long-running async tasks from serverless platforms like Vercel and AWS Lambda that enforce execution time limits.
About
Trigger.dev is an open-source background jobs and workflow platform built specifically for TypeScript and JavaScript developers who need to run long-running, durable async tasks from serverless and edge environments where execution time is constrained. The core problem Trigger.dev solves is the serverless timeout ceiling: functions on Vercel, Netlify, AWS Lambda, and similar platforms have execution limits measured in seconds or minutes, making it impossible to run tasks like AI inference pipelines, video processing jobs, bulk data operations, or multi-step API workflows directly in a serverless function. Trigger.dev offloads these tasks to a durable execution runtime that can run for hours or days.
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