Inngest vs IronWorker

Inngest runs asynchronous code as durable functions for event-driven workflows, background jobs, and agents. Its execution steps handle retries, retain state, and recover from failures; traces show activity from trigger to completion. Flow controls manage concurrency and fairness when users compete for resources. Developers can use open-source SDKs for TypeScript, Python, and Go, or the REST API. Functions can run wherever an app is hosted, with deployment guides for services including Vercel, Netlify, Cloudflare Pages, Render, and DigitalOcean. Inngest also describes isolated sandboxes for testing changes and tools for scoring and comparing variants on production traffic. The Free plan includes 5 seats, 50k executions, 500k events ingested, and 24-hour trace history. Execution pauses when the free quota is reached until the account upgrades. Pro starts at $99/mo. Inngest states that it is SOC 2 Type II compliant, and that its US-based databases are encrypted at rest and application traffic uses TLS/SSL in transit.

IronWorker is a container-based platform for running custom code as queued, asynchronous background tasks. It supports parallel processing, and jobs can run once, a set number of times or on a recurring schedule. Workers run in Docker containers and support Ruby, Python, PHP, Java,.NET, Node.js and Go. Tasks can be triggered by HTTP POST webhooks, other workers or IronMQ queues; the Iron.io dashboard displays task status and performance. The platform describes SSL connections, isolated Docker sandboxes and OAuth2 for task execution. Deployment choices include shared, dedicated, hybrid and on-premise environments. Listed uses include image and video processing, push notifications, ETL, email delivery and cron replacement. Basic costs nothing and includes five hours per month, one concurrency, 512 MB RAM and a 30-minute runtime. Standard costs $169 a month and includes unlimited hours with ten concurrency. Premium costs $699 a month. A 14-day trial is available only for non-dedicated clusters.