AWS Fargate vs Trigger.dev
AWS Fargate
aws.amazon.comTrigger.dev
trigger.devSide by side
| Figure | AWS Fargate | Trigger.dev |
|---|---|---|
| Price from | Free | $10/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 4 |
| Spec score · Serverless Platforms | 8.2 (#6) | 7.6 (#14) |
| Compliance | AWS says Fargate is approved for compliance programs including HIPAA, PCI, and FedRAMP, and is available in AWS GovCloud (US) regions. | Trigger.dev states it is SOC 2 Type II and GDPR compliant and meets HIPAA Business Associate requirements; processing PHI on Trigger.dev Cloud requires a signed paid BAA add-on. |
| Integrations | Fargate workloads can use AWS Identity and Access Management, CloudWatch Container Insights, and AWS Application Auto Scaling. | The product page lists GitHub and Vercel integrations; the home page also shows compatibility with frameworks and platforms including Next.js, AWS, Google Cloud, Azure, Netlify, Cloudflare, and SvelteKit. |
| What it does | AWS Fargate is a serverless compute engine for containers that works with Amazon ECS and Amazon EKS. | Trigger.dev is an open source platform for building AI agents and workflows in TypeScript, with long-running tasks, retries, queues, observability, and elastic scaling. |
Plans
In their own words
AWS Fargate
AWS Fargate has no write-up on Specifiction yet; its figures are above.
Trigger.dev
Trigger.dev is an open-source platform for building AI agents and TypeScript workflows through web, API, or self-hosted deployment. Its managed tasks have no timeout, and the pricing FAQ says they can run as long as needed. Agent workflows support durable chat, tool calls, streamed responses, and human approval gates that pause and resume runs. Reliability features include cron schedules, retries, checkpointing, queues, concurrency controls, and task versioning. Run pages show live traces, logs, and debugging details; LLM observability records model, provider, token, cost, and latency information. Tasks can use Python scripts and libraries, while build extensions add dependencies, system packages, browser tools, and FFmpeg. Integrations include GitHub and Vercel, with compatibility shown for Next.js, AWS, Google Cloud, Azure, Netlify, Cloudflare, and SvelteKit. Free is free; Hobby costs $10 a month, Pro $50 a month, and Enterprise has custom pricing. All plans limit API requests to 1,500 per minute, with higher paid limits available by request.