Fly.io vs Temporal AI

Temporal focuses on durable execution: it automatically captures state at every step, so workflows survive crashes without losing progress. It offers SDKs in 7 languages, primitives like signals and queries for human-in-the-loop, and supports long-running workflows (days to months). Integrations include Datadog, Google ADK, MCP, and several AI agent SDKs (Braintrust, AI SDK, OpenAI Agents SDK). Fly.io provides hardware-virtualized Machines that launch instantly, autoscale, and deploy across 18 global regions with private networking and end-to-end encryption. Its standout feature is Sprites—isolated sandboxes specifically for running AI-generated code safely. Fly.io supports any framework via CLI auto-containerization and offers persistent object storage. Temporal is open-source core (MIT) with optional managed cloud; Fly.io is a proprietary paid platform. Temporal's strength is workflow reliability and AI integration; Fly.io's strength is global deployment and sandboxing untrusted code.

Temporal offers a freemium model: the core is open source (MIT), so you can self-host for free. Managed cloud pricing tiers are not detailed in the description but likely based on workflow executions and storage. Fly.io is paid and consumption-based, with a free allowance for new users (exact amounts not specified). Fly.io’s pricing is usage-driven: you pay for Machines, storage, and network transfer. Temporal may be more cost-effective for small projects or those willing to self-host, while Fly.io’s consumption model can scale with usage. For teams needing managed infrastructure, Fly.io provides a simpler all-in-one solution; Temporal’s cloud offering may have different cost structures. Both lack transparent pricing numbers in the data, so actual costs depend on usage patterns.