Hatchet vs Trigger.dev: Which Is Better in 2026?

Hatchet is a modern, open-source background task queue and workflow engine that helps developers run reliable, distributed background jobs and orchestrate complex workflows at scale. Almost every serious application needs to do work outside the request-response cycle — sending emails, processing data, calling external services, running AI tasks, handling long-running operations — and doing this reliably is harder than it looks. Hatchet provides a robust, developer-friendly system for defining, running and monitoring this background work without building fragile queue infrastructure yourself.

The platform lets you define tasks and multi-step workflows in code, then handles the hard parts of executing them dependably: queuing, scheduling, retries, concurrency control, error handling, and observability into what's running and what failed. It's built for reliability and scale, so jobs don't silently disappear and you have clear visibility into your background processing — addressing common pain points with ad-hoc solutions built on raw queues, where retries, monitoring and durability are often afterthoughts that cause production headaches.

Because Hatchet is open source, teams can self-host it for full control, privacy and cost efficiency, while a cloud offering provides convenience for those who prefer it. It supports modern needs like durable execution for long-running and AI-related workflows, fan-out and orchestration patterns, and integrations with common languages and frameworks. This makes it appealing to engineering teams that need dependable background processing and workflow orchestration but want something more capable and observable than rolling their own, and more flexible or self-hostable than fully closed alternatives. As applications increasingly rely on background tasks and complex, long-running workflows — especially with AI in the mix — a solid task queue and workflow engine is foundational infrastructure. For developers who want reliable, scalable, observable background jobs and workflows, with the freedom of open source, Hatchet offers a powerful and well-designed solution.

Trigger.dev is an open-source platform for writing background jobs and durable, long-running workflows directly in your codebase, without the pain of setting up and babysitting your own queues, workers and retry logic. You define tasks as normal functions, and Trigger.dev handles reliable execution, automatic retries, durability so a workflow survives crashes and resumes where it left off, scheduling, and clear observability into what ran and what failed.

Its standout strengths are being open source and excellent at long-running tasks. Because it is open source, you can self-host it for full control and data ownership — a real draw for teams with privacy requirements or a preference for owning their infrastructure. And it shines on jobs that take a long time to complete, sidestepping the timeout limits that plague plain serverless functions. The developer experience is polished, with great local development and the ability to write and test jobs naturally, so background work stops being an infrastructure headache and becomes just part of your code.

Trigger.dev is a strong fit for developers and teams who need reliable background processing — sending emails, processing uploads, syncing data, orchestrating multi-step jobs — and who value open source, self-hosting, or running genuinely long tasks. It competes with tools like Inngest in the modern durable-workflow space, with its open, self-hostable nature as a key differentiator. For anyone tired of hand-rolling queues and retry logic, it is a major upgrade that delivers dependable background work with minimal infrastructure to manage.